iCapital is revolutionizing the alternative investment landscape with our innovative financial technology platform. Our solutions have redefined how advisors, wealth management firms, asset managers, and banks assess and recommend personalized public and private market strategies for their affluent clients. As of June 2025, iCapital manages approximately $945 billion in global client assets across 1,940 funds. Recognized by Forbes as a leading Fintech company for seven consecutive years (2018-2024), we have also been acknowledged as one of the Best Startup Employers by Forbes (2021-2023) and a four-time recipient of the MMI/Barron’s Solutions Provider award.

YOUR MISSION: As the Director of Forward Deployed Engineering, AMER (FDE) at Parloa, you will be at the forefront of our enterprise AI initiatives. Your primary objective is to establish and lead a top-tier FDE organization that guarantees consistent, high-quality, and scalable implementations of our enterprise solutions. Additionally, you will play a crucial role in integrating field insights to drive product and platform evolution. Your responsibilities extend beyond project delivery excellence; you will help define the operational framework that drives enterprise AI adoption at Parloa. This includes setting operating models, enhancing technical standards, fostering leadership within the FDE team, and ensuring that our deployments evolve into productized solutions. In this pivotal position, you will bridge the gap between product development and the realities of enterprise deployment, ensuring that the actual experiences of our clients enrich our product offerings rather than dilute them. IN THIS ROLE YOU WILL: Regional FDE Strategy & Operating Model: Create scalable delivery frameworks (including pods, vertical focuses, and specialization layers) that balance customization with productization to optimize impact and profitability. Build and Develop a High-Performance Organization: Recruit, mentor, and develop Team Leads and senior FDE professionals while enhancing leadership potential within the organization through succession planning, career pathways, and growth opportunities. Establish robust performance metrics and accountability systems while cultivating a culture of ownership. Ensure Predictable, High-Quality Enterprise Delivery: Take ownership of delivery health for all strategic projects by implementing scalable capacity planning, forecasting, and utilization management processes. Standardize project governance: Implement risk management practices, create escalation protocols, track dependencies, and define quality benchmarks for architecture, security, reliability, and maintainability. Ensure consistent production stability in enterprise environments. Drive Technical Excellence & Architectural Standards: Establish architectural guidelines and reference patterns for enterprise deployments. Implement review protocols for high-stakes technical decisions and ensure repeatable integration practices across enterprise systems (APIs, identity management, data pipelines). Maintain strong technical credibility in cloud infrastructure, backend systems, and AI design. Leverage Field Learnings into Product Enhancements: Identify common implementation trends and advocate for productization. Collaborate closely with Product and Core Engineering teams to minimize custom implementations and provide strategic input on roadmap prioritization using structured field data.

Normal Computing | Transformative OpportunitiesAt Normal Computing, we are at the forefront of innovation, developing the essential software and hardware that propel technology forward. Our contributions support the semiconductor industry and critical AI infrastructures, impacting the systems that power our everyday lives. Our collaborative team spans across dynamic cities including New York, San Francisco, Copenhagen, Seoul, and London.Your Role in Our Vision:We are in search of an AI Engineer to create production systems capable of interpreting extensive technical documents, such as chip design specifications, and transforming them into executable code. You will deliver tangible improvements to our customers on a weekly basis, while exploring the cutting-edge possibilities of AI in hardware through reinforcement learning, agentic coding, and superior software engineering practices.Key Responsibilities:Oversee the entire AI development lifecycle from initial concept to production deployment and iterative enhancements.Develop and implement solutions powered by large language models (LLMs) to derive insights from intricate technical specifications.Navigate multi-modal complexities and investigate multi-agent and reinforcement learning methodologies for generating agentic code and utilizing tools effectively.Formulate strategies aimed at managing latency, output variance, and ensuring robust error handling at scale.Collaborate with product and engineering teams to seamlessly integrate AI functionalities into our platform.Mentor junior engineers and set best practices for AI development.What Makes You Ideal for This Role:Demonstrable experience in deploying production-level AI systems involving language models, particularly those focused on document comprehension and agentic workflows.Strong software engineering background with experience in distributed systems and production-quality code.Proficient in Python and contemporary machine learning frameworks such as PyTorch, Hugging Face, and Transformers.Hands-on expertise in prompt engineering, fine-tuning, and deploying large language models.Aptitude for managing, cleaning, and preprocessing large-scale, diverse datasets.Familiarity with AI safety, bias mitigation, and ethical considerations.Ability to articulate complex AI concepts to both technical and non-technical audiences.Bonus Qualifications:Experience with deploying AI systems in production settings, especially in the context of document understanding.

Join our dynamic team at NBCUniversal as an Artificial Intelligence Engineer. In this pivotal role, you will leverage cutting-edge AI technologies to develop innovative solutions that enhance our media and entertainment offerings. Collaborate with cross-functional teams to implement AI-driven processes and contribute to projects that will shape the future of content creation and distribution.

Role overview Adonis seeks a Director of Artificial Intelligence to lead its AI and machine learning strategy. This executive position combines advanced technical expertise with healthcare experience, guiding the direction, development, and oversight of AI initiatives throughout the organization. The Director will play a key role in ensuring Adonis delivers compliant and effective AI solutions for healthcare clients. AI is central to Adonis’s mission of improving financial outcomes in healthcare. The company values curiosity, rigor, and integrity in its approach, aiming to achieve measurable results for both internal teams and clients. In this role, the Director will define the vision for how AI powers Adonis’s revenue cycle management products, with a focus on helping healthcare providers recover more revenue, reduce manual work, and build scalable, intelligent financial systems. Main responsibilities AI strategy and vision: Create and carry out an AI/ML strategy that aligns with business goals and healthcare industry needs. Incremental value delivery: Balance long-term AI projects with near-term initiatives that produce real results in revenue cycle management. Team leadership: Mentor and guide Data Science and Machine Learning teams, fostering a culture of innovation and high standards. AI governance and compliance: Build and maintain an AI governance framework to ensure all solutions meet healthcare regulatory requirements, such as HIPAA and FDA guidelines. Solution architecture: Design scalable, production-ready AI and ML systems that deliver value to healthcare customers. Demonstrating value: Clearly communicate the benefits of Adonis’s AI solutions to customers, partners, and stakeholders. MLOps best practices: Promote effective processes for deploying, monitoring, and maintaining AI models in production. Cross-functional collaboration: Work closely with Product, Engineering, and other teams to integrate AI into company initiatives. Location This position is based in New York City.

Who We AreAt Sapien, we are revolutionizing the finance industry by leveraging AI technology to redefine the role of finance teams. Our vision is to create an autonomous CFO — a comprehensive system that manages company finances from inception to conclusion. Our innovative platform processes intricate financial data in real time, enhancing decision-making speed, minimizing costly errors, and delivering substantial value. To date, Sapien has identified multi-million-dollar discrepancies, safeguarded numerous jobs, and significantly boosted our clients' financial performance.We collaborate with a variety of established industries, including manufacturing, healthcare, hospitality, and large corporations, to thoroughly understand and streamline their financial workflows. Our headquarters is located near Madison Square Park in New York City, supported by General Catalyst, Neo, and industry leaders from Google, OpenAI, Microsoft, Ramp, and Stripe, with over $9M in funding raised.The RoleAs a vital member of our team, you will embody the new generation of operators required for agentic AI deployment. This role transcends traditional software installation; it focuses on deploying intelligence that transforms how finance teams operate and make decisions. You will serve as the essential link between Sapien's platform and the finance organizations we support. Your responsibilities will include immersing yourself in customer environments, comprehending their workflows, and redesigning these processes around our intelligent agents. You will be a blend of strategist, operator, and finance translator, maintaining direct contact with our customers, product teams, and founders.If you've ever observed a finance team and thought, 'There has to be a better way,' then this role is tailored for you.Your ResponsibilitiesCustomer DeploymentsManage end-to-end customer implementations, including scoping, workflow mapping, deployment, training, and optimization.Engage with finance teams (CFOs, business intelligence, analysts), understand their workflows, and enhance those processes using Sapien.Develop a comprehensive deployment playbook: scalable frameworks for onboarding, integrating, and expanding across organizations.Product & StrategyServe as the feedback loop between customers and product development. Utilize your finance expertise to translate real-world workflows into actionable product requirements, rigorously test features, and advocate for the needs of CFOs.Assist leadership with customer-facing materials, internal strategies, and other critical initiatives.Identify patterns across deployments that will inform product direction and enhancements.

Role Overview CurbWaste is looking for a Head of Artificial Intelligence based in New York, NY. This leader will guide the company’s AI efforts and help shape the future of waste management through advanced technology. What You Will Do Set and refine the AI strategy to align with CurbWaste’s business goals Lead the development and deployment of machine learning models to improve operations and customer experience Work closely with teams across the company to integrate AI solutions into products and services Promote data-driven decision-making throughout the organization Who We’re Looking For This role calls for a leader with a vision for how AI can transform waste management. Experience in building and scaling AI initiatives is important, as is the ability to collaborate across functions and inspire teams to adopt new technologies.

Columbia University is seeking skilled analytics professionals to join us as part-time Adjunct Associate Faculty for a graduate-level course on Artificial Intelligence of Things (AIOT) starting in Fall 2026. This role provides an exceptional opportunity to engage in graduate-level teaching while contributing subject matter expertise and supporting the instructional process.The course aims to equip students with a thorough understanding of IoT technologies and their integration with AI and robotics. Participants will delve into IoT architecture, critical components, and communication protocols, and will gain hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIOT applications for real-time decision-making in various sectors, including manufacturing, public safety, smart cities, and healthcare, while also addressing ethical considerations associated with these technologies.Through a combination of conceptual learning and practical assignments, the course features weekly lectures, readings on IoT fundamentals, and biweekly quizzes to evaluate understanding. Students will apply their knowledge through individual assignments and a collaborative term project, ensuring a solid foundation in IoT analytics and AI-driven robotic automation.

We are seeking a visionary Director of Applied AI to lead our innovative projects at Metropolis, headquartered in the vibrant city of New York. In this pivotal role, you will drive the development and implementation of cutting-edge AI solutions that enhance our operations and deliver transformative results across various sectors.Your leadership will inspire a talented team of data scientists and engineers as you collaborate with cross-functional partners to translate complex data into actionable insights. You will be responsible for setting the strategic direction of our AI initiatives, ensuring alignment with our business objectives, and fostering a culture of continuous improvement and innovation.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into fully operational systems. We thrive at the intersection of customer engagement and core platform innovation.About the RoleAs a Forward Deployed Engineer (FDE), you will spearhead intricate end-to-end deployments of cutting-edge models alongside our most significant clients. Your responsibilities will encompass discovery, technical scoping, system architecture, development, and production rollout, collaborating directly with customer engineering teams and domain experts.Your success will be measured by the adoption of solutions in production, tangible workflow improvements, and feedback that informs product and model evolution. You will work in close partnership with our Product, Research, Partnerships, Governance, Risk & Compliance (GRC), Security, and Go-To-Market (GTM) teams.This role is based in New York City with a hybrid work model of three days in the office weekly. We provide relocation assistance and require travel of up to 50%.Key ResponsibilitiesLead the technical delivery across various deployments from initial prototypes to stable production environments.Develop full-stack systems that generate customer value and enhance our learning processes.Integrate closely with client teams to understand their requirements and facilitate the adoption of your solutions.Scope projects effectively, sequence deliveries, and proactively eliminate obstacles.Balance trade-offs between project scope, speed, and quality; adapt plans to ensure timely delivery.Contribute directly to coding when clarity or progress is essential.Document effective practices into tools, playbooks, or reusable components for team utilization.Provide field feedback that informs Research and Product teams about model performance and areas for improvement.Keep project teams on track through clear communication and effective follow-through.Ideal Candidate ProfilePossesses over 5 years of engineering or technical deployment experience, particularly in customer-facing roles.Has experience in scoping and delivering complex systems within dynamic or uncertain environments.Skilled in writing and reviewing production-quality code for both frontend and backend using Python, JavaScript, and other relevant technologies.

About Our TeamAt OpenAI, the Forward Deployed Engineering (FDE) team is at the forefront of transforming groundbreaking research into robust production systems. We collaborate closely with our clients to tackle high-impact challenges, functioning as the driving force behind our most intricate large-scale projects. Our agility allows us to swiftly transition from prototype stages to production, establishing reusable patterns that enhance our platform. Our work bridges the gap between deployment and development, enabling us to partner effectively with OpenAI Research, Product, and Partnerships.About the RoleAs a Technical Deployment Lead (TDL), you will be instrumental in shaping how OpenAI delivers sophisticated systems to our customers. You will take full ownership of their construction, delivery, and adoption processes. Your role will involve translating business objectives into comprehensive technical plans, overseeing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure our deliverables meet their objectives.You will manage the complete delivery process: working alongside customers to outline workflows and success metrics, ensuring timely shipment of components, and leading readiness and change management initiatives for effective adoption. Your responsibilities will include monitoring progress, managing dependencies, making sequencing decisions, and driving the development of prototypes from inception to minimum viable product (MVP) and full-scale implementation. Additionally, you will share valuable field insights with Product and Research teams to inform roadmap decisions and priorities.Your success will be evaluated primarily by the impact of deployments that yield tangible value against customer objectives, encourage adoption, and become integral to their operational workflows. Additional success metrics will include reliability of delivery (meeting milestones, minimal reopen/churn), operational efficiency (reusable patterns across deployments), decision-making under pressure, and product impact (field insights that influence roadmaps and architectures).This role demands a high level of trust and autonomy. To thrive, you will need extensive technical project management expertise, a profound sense of ownership over outcomes, and the ability to immerse yourself in customer workflows while collaborating with teams to address complex engineering challenges promptly.This position is based in New York City, utilizing a hybrid work model that requires three days in the office per week. Relocation assistance is offered, and travel is expected to range between 25% to 50%.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team plays a pivotal role in collaborating with clients to transform cutting-edge research into fully operational systems. We thrive at the intersection of client engagement and essential platform innovation.About the RoleAs the FDE Manager, you will guide your team through complex and high-pressure customer deployments while taking full ownership of both technical and business outcomes. You'll cultivate a resilient team capable of performing under pressure, ensuring that OpenAI continually learns from real-world applications.In this position, you will work closely with Product, Research, Sales, and Go-To-Market teams to ensure that insights from fieldwork shape our roadmap priorities, fuel new initiatives, and facilitate secure large-scale deployments. Your strategic decisions will significantly impact the trust our customers place in OpenAI, and your success will be evaluated based on your team's delivery frequency, the clarity of communication to Research and Product sectors, and the long-term effectiveness of your team and delivery model.This role is based in New York City and follows a hybrid work model, requiring three days in the office each week. We offer relocation assistance, and the position may involve travel up to 25% of the time.Key ResponsibilitiesLead and develop a team of FDEs responsible for deploying advanced production systems with innovative models.Oversee end-to-end delivery outcomes by ensuring clarity, speed, coordination, and technical excellence.Document successful processes into tools, playbooks, and roadmap contributions to enhance the productivity of OpenAI and the broader developer ecosystem.Identify early warning signs and address them promptly, whether related to product performance, customer environments, or operational practices.Exercise sound judgement in determining actionable items versus those that do not require intervention.Establish high-performance standards for the FDE team while fostering individual growth through targeted, constructive feedback.Define staffing and support strategies for field teams that can scale efficiently without added complexity.Ideal Candidate ProfilePossess over 8 years of engineering or technical delivery expertise, including at least 2 years in managing high-performing FDE or customer-facing engineering teams.Demonstrated experience leading high-stakes technical projects from initial prototype to successful production.Proficient in writing and reviewing production-grade code with a focus on quality and maintainability.

At Angi®, our mission for over three decades has been simple yet powerful: to ensure that jobs are done effectively. We achieve this by connecting homeowners with trustworthy professionals who possess the necessary skills, while also linking professionals with homeowners seeking the work they desire.Overview of Angi:Homeowners have relied on Angi for over 300 million projects.We cover more than 1,000 home service tasks.Our global team comprises 2,800 employees.Why Choose Angi:Angi® is shaping the future of the home services sector, fostering an ecosystem where homeowners, professionals, and employees all benefit from a higher volume of successfully completed jobs. Our platform offers homeowners a reliable means of finding skilled professionals, while we serve as an invaluable partner for professionals to discover the work they want at their convenience. We pride ourselves on being a fantastic workplace for our employees and look forward to welcoming you aboard.Role Overview:Angi is on the lookout for an outstanding Director of Artificial Intelligence & Machine Learning who will be pivotal in driving our transformation efforts. In this leadership position, you will guide our Artificial Intelligence team in addressing challenges such as integrating Angi’s search capabilities with leading LLM providers, including OpenAI GPT and Google Gemini. You will lead a dedicated team of machine learning engineers, developing ML prototypes and overseeing their deployment to production. In addition to leadership, we seek an individual who is not afraid to roll up their sleeves and tackle some of Angi’s most significant technical challenges.Your Responsibilities:Leadership: Inspire and cultivate a team of talented machine learning engineers, offering guidance, mentorship, and support to promote their professional development. For our most complex challenges, you will engage in hands-on problem-solving alongside your team.LLM Deployment and Optimization: Manage the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) within an agentic framework, with an emphasis on optimizing model performance and scalability to enhance user experience and drive business outcomes.Integration with Third-Party AI APIs: Supervise the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI, to improve user experiences and business performance.Collaboration with Engineering & Product Teams: Partner with engineering, product, and design teams to develop robust and scalable real-time APIs.

About The RoleTaktile is revolutionizing the way financial institutions leverage AI for pivotal decision-making, and our growth trajectory is accelerating. In your role as a Senior Forward Deployed Engineer, you will be integral to this transformation, overseeing the technical process from onboarding clients to deploying production-grade AI systems that create tangible business value.If you have a fervor for technology and AI, keep abreast of the latest advancements in the field, and possess substantial expertise in Python, SQL, and REST APIs, you will excel in this position.Your Responsibilities as a Senior Forward Deployed Engineer:Spearhead intricate AI-driven deployments for Taktile, managing the technical delivery across various projects, from defining impactful AI use cases to ensuring stable production.Leverage your technical prowess, problem-solving capabilities, and creativity to assist organizations in tackling real-world challenges. Your daily tasks may encompass designing solution architectures, developing decision logic, deploying production-ready Generative AI agents, and collaborating with key customer stakeholders, all while ensuring an exceptional experience and swift value realization for Taktile’s clientele.Efficiently scope tasks, sequence project delivery, and proactively eliminate obstacles, while judiciously balancing scope, speed, and quality to guarantee successful and timely project outcomes.Collaborate with Taktile’s product management team to translate your insights into actionable product enhancements, significantly influencing Taktile’s product development roadmap.Create reusable resources, best practices, and tools to share your expertise and scale the forward deployed engineering function within the organization.About You:You possess 4-6 years of engineering or technical deployment experience, particularly in customer-facing roles.You have a robust technical foundation, ideally in fields like Computer Science, Mathematics, Software Engineering, Physics, or Data Science.You are proficient in writing and reviewing production-quality Python and SQL, and have a strong grasp of REST API design and integration.You excel at deconstructing complex issues and making swift, informed decisions even in high-pressure situations.You foster strong relationships with both technical and non-technical stakeholders, driven by curiosity and a customer-centric approach that enables you to understand their needs thoroughly.

LOCATIONNew York, NY, USA(Hybrid work - required to be in office 2-3 days/week)JOB DESCRIPTIONJoin our dynamic team at Interplay as an AI Deployment Engineering Intern for the Spring/Summer term! We seek an enthusiastic individual with a robust engineering background and full-stack AI development experience. In this role, you will stay ahead of the curve in cutting-edge technologies and market trends, build and deploy AI systems, analyze emerging trends, and support our investment strategies in the AI sector. Our ideal candidate is passionate about artificial intelligence, possesses a strong grasp of machine learning and related technologies, and is eager to apply their skills in a fast-paced venture capital environment. A portfolio showcasing your experience with multi-agent systems will be a significant advantage.WHAT YOU’LL DOConduct comprehensive research on emerging AI technologies, trends, and market dynamics.Analyze the technical viability and innovative potential of AI-driven startups.Develop and implement AI models/tools to enhance organizational efficiency.Engage with AI communities, startups, and industry experts to remain at the forefront of the latest advancements.WHO YOU ARESelf-motivated and eager to learn.A problem solver who enjoys tackling challenges hands-on.A versatile individual capable of managing diverse responsibilities.Highly organized with strong time management skills.Creative thinker who generates innovative ideas for events and marketing initiatives, always staying ahead of industry trends.Proactive in identifying potential issues and delivering timely solutions.Team-oriented with excellent interpersonal skills, enabling effective collaboration across cross-functional teams.Technologically adept and comfortable working with various tools and platforms.

MISSION: As a Senior Forward Deployed Engineer (SFDE) at Parloa, you will be at the forefront of integrating enterprise AI, deploying innovative technologies in some of the most intricate environments globally. Your objective: spearhead end-to-end deployment projects from an engineering standpoint—going beyond mere implementation to engineer solutions that guarantee success at an enterprise scale. As an FDE, you will serve as our in-field product engineer. You will create solutions that do not yet exist, adapt architectures to meet enterprise demands, and develop integrations across various systems and APIs to facilitate successful deployments. Your approach is hands-on and code-centric, focusing on building, debugging, and engineering solutions directly on-site. The outcomes of your work not only ensure deployment success but also shape how customers engage with Parloa and influence the evolution of our product. This role transcends maintenance; it is about engineering viable solutions for production under real-world enterprise constraints, executed swiftly and at scale. IN THIS ROLE YOU WILL: Lead deployment engineering projects: Oversee the technical execution (including product engineering) of Parloa’s deployments in large, complex enterprise settings. Design for scalability and resilience: Architect deployment solutions that meet enterprise-grade standards for performance, reliability, and security. Innovate where required: Develop custom extensions, integrations, and configurations to fulfill product gaps and meet enterprise requirements. Collaborate across systems and stacks: Operate at the nexus of backend engineering, DevOps, and data engineering to assure seamless delivery. Work with enterprise teams: Partner directly with customer engineering groups to navigate constraints and deliver measurable outcomes. Mentor and guide: Collaborate with and offer technical support to junior field engineers. Engage at senior levels: Interact with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility. Diagnose issues under pressure: Quickly resolve challenges in mission-critical environments to guarantee customer success. Influence product direction: Serve as the feedback conduit between field operations and our core engineering teams, helping to transform deployment learnings into product enhancements.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into fully operational systems. We thrive at the intersection of client success and core platform innovation.About the RoleWe are seeking a dedicated Forward Deployed Engineer (FDE) to spearhead comprehensive deployments of our AI models within leading financial institutions, including banks, asset managers, and private equity firms. This role is pivotal in integrating next-generation AI capabilities into their operational workflows, investment strategies, and portfolio management. You will oversee the entire process from initial discovery and technical scoping to system design, implementation, and live deployment, working directly alongside the customer’s engineering and domain teams.Your success will be measured by the adoption of our solutions in production environments, the quantifiable impact on operational workflows, and actionable feedback that influences our product and model roadmaps. You will collaborate closely with our Product, Research, Partnerships, Governance, Risk & Compliance, Security, and Go-to-Market teams.This position is based in New York City, following a hybrid work model that requires three days in the office each week. We offer relocation support and require travel up to 50% of the time.Key ResponsibilitiesLead technical delivery for multiple projects from initial prototype through to stable production.Develop full-stack systems that provide substantial value to customers while enhancing our learning processes.Work closely with customer teams to identify their needs and facilitate the adoption of solutions you develop.Manage project scopes, sequence deliverables, and proactively address challenges.Balance trade-offs among scope, speed, and quality, adjusting plans as necessary to ensure successful delivery.Contribute directly to coding efforts when necessary to drive progress and clarity.Document effective working practices into tools, playbooks, or frameworks that can be utilized by others.Provide field insights that inform Research and Product teams about model performance and improvement areas.Maintain team momentum through clear communication and dedicated follow-through.Ideal Candidate ProfilePossess 5+ years of experience in engineering or technical deployment, particularly in customer-facing roles.Have a robust background in the financial services sector...

Join the School of Professional Studies at Columbia University as an Adjunct Lecturer for our graduate-level course in Artificial Intelligence of Things (AIOT), commencing in Fall 2026. We are seeking seasoned industry professionals passionate about sharing their expertise in this rapidly evolving field.This course offers an in-depth exploration of IoT technologies and their integration with AI and robotics. Engage students in critical discussions about IoT architecture, essential components, and communication protocols, while providing them with practical experience using IoT platforms, sensors, and data acquisition tools. The curriculum focuses on real-world AIoT applications that facilitate immediate decision-making in sectors such as manufacturing, public safety, smart cities, and healthcare, while also addressing the ethical implications of these innovative technologies.Blending theoretical knowledge with hands-on assignments, the course includes weekly lectures, readings on the fundamentals of IoT, and biweekly assessments to evaluate student comprehension. Participants will demonstrate their understanding through individual assignments and a collaborative term project, laying a strong foundation in IoT analytics and AI-driven robotic automation.

At August, we are pioneering AI solutions tailored specifically for law firms, focusing on enhancing the practice of law for mid-sized firms where efficiency and client service are paramount. Our innovative platform streamlines the drafting, reviewing, and analyzing of legal documents, significantly reducing the time required for these processes from hours to mere minutes. Trusted by progressive law firms across the U.S., Australia, and Asia, and supported by prominent investors including NEA, Pear VC, and Stanford Law, we are positioned for global expansion.We operate at a rapid pace, learning directly from our clients, and we are committed to harnessing AI technology to transform legal practices.The OpportunityJoin us as we develop AGI for law, where our intelligent agents replicate the reasoning, research, and drafting capabilities of human lawyers, consistently outperforming traditional attorneys in independent evaluations. Our focus is on mid-market law firms, automating legal workflows and enabling firms to provide our advanced tools directly to their clients. As a Forward Deployed Engineer (FDE), you will engage directly with our customers to translate complex workflows into reliable, deployed solutions. You will be responsible for scoping, prototyping, integrating, and managing production systems, overseeing everything from SSO and data ingestion to user experience and pilot project success.What You’ll DoLead Customer Deployments: Conduct discovery sessions, define success metrics, and deliver pilot projects that drive expansion.Implement Real-World Solutions: Develop and integrate adapters, webhooks, and APIs (such as iManage/NetDocs, SharePoint, Outlook, and Word add-ins); ensure seamless integration with SSO/SAML/OIDC and tenant isolation.Develop Reusable Products: Convert custom integrations into configurable modules, SDKs, templates, and internal documentation.Enhance Time-to-Value: Identify and eliminate bottlenecks (data migrations, redlines, policy constraints) to ensure pilot projects deliver results in weeks, not months.About YouExperience: A minimum of 2 years in building production software (full-stack or platform), with the ability to navigate unfamiliar APIs and deliver in complex real-world environments.Proficient in TypeScript/JavaScript (with experience in React/Next.js for user interface design) and at least one backend programming language (e.g., Node.js, Python).