Forward Deployed Machine Learning Engineer - Applied AI in Montreal

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of the contact center. Our innovative platform merges the strengths of artificial intelligence and human insight to empower contact centers in uncovering customer insights, automating interactions and streamlining inefficiencies, ultimately enabling every team member to operate with enhanced efficiency. Founded by visionary leaders from the esteemed Stanford AI Lab, including Sebastian Thrun, a pioneer behind Google X and Waymo, we are driven by a mission to revolutionize the workforce with AI. Join us as we shape the future of work at Cresta.

About the RoleJoin Saris AI, an innovative applied AI startup located in Montreal and San Francisco, dedicated to revolutionizing the banking industry. We are addressing a massive $100 billion annual challenge that is rapidly evolving, and we are pushing the frontiers of what can be achieved with advanced multi-turn AI systems.Our mission is to resolve complex automation issues that necessitate long-context reasoning, seamless tool orchestration across legacy systems, and rigorous compliance processes—problems that lack straightforward solutions.Having successfully deployed real agents to manage genuine customer workflows, we are experiencing rapid growth and are in search of highly technical individuals eager to make a significant impact from the start.As a core member of our Forward Deployed Engineer (FDE) team, you will play a critical role in implementing strategies across various clients while remaining actively engaged in coding.Your Responsibilities Include:Develop tailored AI features, APIs, or integrations to connect product offerings with client systems.Engage directly with clients to grasp their business objectives and technical specifications.Act as a technical advisor throughout the deployment process.Lead the comprehensive development of client-specific solutions, encompassing backend, frontend, infrastructure, and deployment tasks.Rapidly create proof-of-concepts or MVPs to validate ideas with clients.Document implementation specifics and best practices for client projects.Who You Are:Proven experience in software implementation roles such as solutions engineer or solutions architect.Strong ability to establish relationships with customers, ideally within SaaS environments.Full-stack development experience, particularly with our technology stack: NodeJS, TypeScript, Python, AWS.A talent for managing high-impact customer integrations to enhance AI-driven automation processes.Why Work with Us?

Company OverviewCommerceIQ’s AI-driven digital commerce platform is transforming how brands operate online. Our integrated ecommerce management solutions empower brands to make swift, informed decisions through insights that enhance the digital shelf, maximize retail media ROI, and drive additional sales across leading global marketplaces. With a network of over 900 retailers, our comprehensive platform assists more than 2,200 top brands in optimizing their marketing, supply chain, and sales operations to effectively expand their market presence in over 50 countries. We proudly serve 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. Having raised over $200M from prominent investors such as SoftBank, Insight Partners, and Madrona, we are poised for continued growth. Discover more at commerceiq.ai.The Role:As a Forward Deployed Engineer, you will collaborate closely with our founders and AI Product Managers to design and implement AI-based solutions addressing our clients’ critical challenges. This role is pivotal, offering high visibility as you will report directly to our Head of AI Strategy and Outcomes. You will also engage with key members of the executive leadership team based in Mountain View, work alongside our engineering team in Bangalore, and interact daily with enterprise clients. Your contributions will be essential in defining our engagement with key customers, establishing the company's inaugural forward deployed engineering function, and advancing our mission to assist brands in thriving in AI-driven e-commerce.Location / Travel:This position is on-site in Toronto, Ontario, Canada, with approximately 50% travel expected to client locations. Candidates located in the Toronto area will be prioritized.What You'll Do:Build prototypes with customers: Collaborate with our AI Product Manager to identify real-world challenges, rapidly scope use cases, and develop functional prototypes. Engage in hands-on discovery and transform insights into practical demos for potential and existing clients.Integrate data and create new AI agents: Acquire data from various sources (ERPs, ecommerce platforms, custom APIs) and develop agents tailored to the specific use cases identified during discovery. This involves translating unique business rules into runtime-editable settings instead of static logic.

About SandboxAQSandboxAQ is a rapidly growing company dedicated to providing AI solutions that tackle some of the world's most pressing challenges. Our cutting-edge Large Quantitative Models (LQMs) drive advancements across various sectors, including life sciences, financial services, navigation, and cybersecurity.As a global team of tech enthusiasts, we comprise experts in AI, chemistry, cybersecurity, physics, mathematics, and engineering, among others. Originating from Alphabet Inc., we became an independent entity in 2022, backed by leading investors and a network of industry pioneers.At SandboxAQ, we foster an innovative environment that promotes creativity, collaboration, and meaningful contributions. By investing in our team's development, we are building a vibrant workforce ready to address global challenges. Join us to elevate your career in an inspiring mission with a community that values entrepreneurial spirit, ownership, and transformative impact.The OpportunityAs a Staff Forward Deployed Engineer (FDE) in our AI Simulation group, you will serve as the key technical liaison between our core Large Quantitative Models (LQMs) and our most ambitious client projects. This role is tailored for a resourceful generalist who thrives in an autonomous setting and is eager to tackle challenging issues in drug discovery and chemical simulation. You will work closely with scientific delivery teams, engaging at the intersection of fundamental research and practical application.Your main objective is to ensure the successful technical enablement of our critical partnerships. You will independently identify complex bottlenecks, design custom solutions, and manage scalable computing resources. Whether integrating scientific application logic, handling large data transformations, or working with Agentic systems, you will oversee the complete lifecycle of your deployments. This role requires a startup mindset: the ability to lead a project's technical vision while being willing to perform any necessary tasks to advance our mission.

Nexxa.ai is at the forefront of developing artificial superintelligence tailored for heavy industries, empowering machines, systems, and operations to think, decide, and act autonomously across manufacturing, large-scale infrastructure, logistics, and legacy environments.Our mission is to transform groundbreaking technical advancements into operational realities, addressing some of the most challenging systems-level issues in the industry.Role OverviewWe are seeking a Senior Forward Deployed Engineer to collaborate directly with our enterprise clients and spearhead the comprehensive delivery of impactful technical solutions. You will immerse yourself within customer teams, translating real-world challenges into production-ready systems that utilize Generative AI, Computer Vision, and Machine Learning.This position combines software engineering, ML engineering, architecture, and consulting. You will design and deploy innovative solutions, integrate models, craft custom workflows, and guide customers toward successful implementation. Note that this role involves frequent travel to customer sites.Key ResponsibilitiesEngage with enterprise and strategic customers to comprehend their workflows, data, and technical requirements.Design, build, and deploy bespoke solutions that leverage GenAI, LLMs, Machine Learning and Vision models, alongside customer data sources.Lead complete project lifecycles, encompassing scoping, solution design, development, implementation, testing, deployment, and iteration.Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.Develop reliable, scalable software integrations using APIs, cloud services, and containerized systems.Diagnose and troubleshoot intricate technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations.Serve as the customer's trusted technical advisor, facilitating the adoption of new product capabilities and AI features.Collaborate closely with internal product and engineering teams to relay customer feedback and influence the development roadmap.Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.Guide and mentor junior engineers.

Join our dynamic team at Knak as a Forward Deployed Engineer specializing in AI Internal Tools. In this fully remote position, you will play a crucial role in developing and enhancing our internal tools that leverage artificial intelligence to streamline our processes. Collaborate with cross-functional teams to understand their needs and translate them into innovative solutions.

Banyan Software is dedicated to providing a lasting home for thriving enterprise software companies, their workforce, and their clientele. Our mission revolves around acquiring, developing, and expanding top-tier enterprise software businesses globally, specifically those that hold leading positions in niche vertical markets. Recently, Banyan was recognized as the #1 fastest-growing private software company in the United States by the Inc. 5000 list and ranked among the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Established in 2016, we operate with a permanent capital foundation aimed at safeguarding the legacies of our founders, employing a buy-and-hold strategy for nurturing software companies serving specialized vertical markets.OverviewWe are in search of an outstanding full-stack software engineer to join us as a Forward Deployed Engineer (FDE). In this pivotal role, you will serve as the vital link between our central AI Application Modernization Factory and our application teams. The FDE will be temporarily embedded within delivery teams to spearhead the modernization of essential applications, ensuring technical success, promoting the rapid adoption of AI-assisted software development life cycle (SDLC) practices, and facilitating enduring skill development among team members. This high-stakes, hybrid position demands advanced software engineering acumen, in-depth knowledge of cloud-native architectures, and demonstrated proficiency in consultation, change management, and fostering strong relationships within diverse teams.

Banyan Software is dedicated to providing a lasting home for successful enterprise software firms, their staff, and their clientele. Our mission involves acquiring, developing, and enhancing exceptional enterprise software businesses globally, ensuring they maintain dominant positions in niche vertical markets. Recently, Banyan was recognized as the #1 fastest-growing private software company in the U.S. on the Inc. 5000 list and ranked among the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Established in 2016, Banyan operates with a permanent capital base designed to preserve the legacy of its founders, concentrating on a buy-and-hold-for-life strategy for growing software companies that cater to specialized vertical markets.The Role:We are in search of an outstanding full-stack software engineer to take on the role of Lead Forward Deployed Engineer (FDE). In this pivotal position, you will serve as the key liaison between the central AI Application Modernization Factory and our application teams. You will develop and oversee a team of FDEs, creating playbooks and codifying best practices. The FDE will work closely with delivery teams to directly facilitate the modernization of essential applications, ensuring technical success, accelerated integration of AI-assisted SDLC practices, and enduring upskilling of team members. This impactful, hybrid role requires advanced software engineering capabilities, comprehensive knowledge of cloud-native patterns, and demonstrated expertise in consulting, change management, and building strong relationships with diverse teams.

Join cohere as a Forward Deployed Engineer for the Agentic Platform, where you will play a crucial role in enhancing solutions tailored for the public sector. You will collaborate closely with clients to implement advanced technologies that meet their unique needs. Your expertise will be instrumental in deploying cutting-edge software solutions, ensuring they align with governmental requirements and standards.

H2 Analytics develops technology that helps intelligence specialists train more effectively and efficiently. The company works with military, national security, law enforcement, and other mission-driven organizations to strengthen operational readiness. Many team members bring direct intelligence experience, giving them insight into the practical challenges clients face. The pace is quick, fueled by ambitious targets and a strong sense of mission. Clients often operate in complex, highly regulated environments. Deploying software in these settings is rarely simple. Systems may be isolated from the internet, security demands are high, and infrastructure can differ greatly from one client to another. H2 Analytics’ EASE platform enables large-scale training and experimentation, but each deployment requires careful setup, integration, and adaptation to meet strict security and infrastructure needs. Every project presents new technical and operational hurdles. To meet these challenges, H2 Analytics places technical experts directly within client delivery efforts. This approach ensures that software works reliably in demanding environments, letting client teams focus on their core training goals rather than infrastructure concerns. Role overview The Forward Deployed Engineer will deploy, configure, and support the EASE platform and other software solutions, primarily in client on-premises environments across Canada. As part of a project team, this engineer ensures smooth integration with client infrastructure and maintains reliability under a variety of operational constraints. Key responsibilities Install and configure systems in secure or restricted client environments Troubleshoot issues across application, network, and infrastructure layers Adapt deployments to fit each client’s unique requirements and technical realities Integrate solutions with third-party systems when needed Work through technical challenges that may lack clear answers Collaborate with project managers and engineering teams to ensure successful deployments Engage directly with clients to diagnose issues, understand constraints, and support ongoing success Help improve deployment and support processes for EASE, making delivery more scalable and repeatable over time

The Field Strategist - Forward Deployed Engineer role at Jobgether centers on connecting advanced technology with client needs. This position is based in Canada and works directly with customers to understand their specific challenges and deliver solutions that fit their goals. Role overview This role involves frequent interaction with clients, gathering insights about their requirements, and ensuring that Jobgether’s technology is applied effectively. The work requires both technical know-how and the ability to communicate clearly with a range of stakeholders. What you will do Work closely with customers to identify their needs and objectives Develop and implement solutions tailored to each client’s situation Translate complex technical concepts into practical strategies for clients Requirements Strong technical skills relevant to deploying technology solutions Excellent communication and interpersonal abilities Proactive approach to problem-solving and client engagement

About Us:At Cohere, our mission is to amplify intelligence for the benefit of humanity. We are dedicated to training and deploying groundbreaking models that empower developers and enterprises to create extraordinary AI-driven experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our work is pivotal in driving the global adoption of AI technology.We take immense pride in our creations. Every team member plays a vital role in enhancing our models' capabilities and maximizing the value they deliver to our clients. Our culture is built on hard work and agility, always striving to prioritize our customers' needs.Cohere comprises a diverse team of researchers, engineers, designers, and other specialists who are deeply passionate about their fields. Each member is recognized as a leader in their domain, and we believe that diverse perspectives are essential for crafting outstanding products.Join us in our quest to shape the future of AI!Introducing North:North is Cohere's state-of-the-art AI workspace platform, engineered to transform how businesses leverage AI. It provides a secure and customizable environment, enabling organizations to deploy AI solutions while safeguarding sensitive data. North seamlessly integrates into existing workflows, delivering a reliable platform that connects AI agents with workplace tools and applications.Why This Position Matters:This position presents a unique chance to influence how enterprises leverage AI in practical applications. Serving as a vital link between our flagship North product and our clients' engineering teams, you will tackle complex challenges and ensure the secure integration of AI into critical industries such as finance, healthcare, and telecommunications. Our esteemed clientele includes renowned industry leaders such as RBC, Dell, and LG CNS.We are on the lookout for engineers who are passionate about customer satisfaction and eager to operate at the forefront of Agentic AI technology.Your Responsibilities:Oversee the complete deployment of North within private cloud and on-premises setups, encompassing planning, configuration, testing, and implementation.Collaborate with enterprise IT teams to evaluate infrastructure, security protocols, and data management practices.Engage in high-velocity experimentation with a focus on quality to captivate our clients and deliver solutions that surpass their expectations.Design and execute deployment strategies...

About the RoleThe Forward Deployed Engineer is crucial in deploying, customizing, and enhancing Hopper’s HTS Assist, our AI-driven voice and chat assistant tailored for the travel sector. This position guarantees that HTS Assist provides smooth automated service experiences to our partners.In this role, you will merge technical engineering expertise with customer collaboration. You will work directly with partners to design, implement, and refine AI-powered service automation. This includes API integration across telephony systems, CRM, travel supply frameworks, as well as designing, testing, and optimizing LLM prompts while delivering data-driven insights to enhance performance and reliability.Your contributions will facilitate the expansion of Hopper’s autonomous service technology within the travel industry. This role is instrumental in furthering Hopper’s commitment to scaling the HTS Assist ecosystem, ensuring that AI automation is reliable, responsible, and partner-focused at all stages of deployment.

Cresta is dedicated to transforming customer interactions into a strategic advantage by harnessing the full capabilities of contact centers. Our innovative platform integrates advanced AI with human insight to uncover valuable customer insights, refine operational efficiencies, automate dialogues, and empower team members to enhance productivity. Co-founded by Sebastian Thrun, a visionary from Stanford AI Lab and a pioneer behind initiatives like Google X and Waymo, our leadership team also includes Ping Wu, CEO and co-founder of Google Contact Center AI, and Tim Shi, an early contributor at OpenAI.Embark on an exciting journey with us to redefine the future of work through AI at Cresta.

Cohere is hiring a Forward Deployed Engineer with a focus on infrastructure for public sector projects in Ottawa. This position centers on deploying infrastructure solutions that support government clients and public services. Role overview This role involves working directly with government organizations to understand their operational needs. The Forward Deployed Engineer will adapt and implement infrastructure technologies to fit specific public sector requirements, aiming to improve efficiency and support innovation. Key responsibilities Deploy infrastructure solutions within public sector environments Collaborate with government clients to identify needs and objectives Customize technology implementations to ensure smooth integration and enhanced operations Location This position is based in Ottawa.

About the TeamAdaptive ML is an innovative AI startup focused on developing a cutting-edge Reinforcement Learning Operations (RLOps) platform that empowers enterprises to customize and implement large language models (LLMs) in production, yielding measurable results.We deliver essential infrastructure that facilitates the tuning, evaluation, and deployment of specialized models at scale — leading the way in task-specific LLM development and managing production-ready workflows capable of handling millions of requests while optimizing for cost and performance across distributed systems.Our close-knit team has previously contributed to the development of state-of-the-art open-access large language models. In early 2024, we secured a $20M seed round led by Index Ventures and ICONIQ, and we are already operational with clients including Manulife, AT&T, and Deloitte, spanning across travel and financial services — with more partnerships to be announced soon.At Adaptive ML, our Success Team is an integral part of our Technical Staff. The Technical Staff is responsible for developing the foundational technology that drives Adaptive ML, while the Success Team ensures our enterprise clients fully utilize these technologies — particularly through our Adaptive Engine product — to extract maximum value.About the RoleAs a Forward Deployed AI Engineer at Adaptive ML, you will assist our customers in creating scalable production applications utilizing the Adaptive Engine. Our clientele ranges from dynamic scale-ups to established global enterprises, and your mission will be to guide them in maximizing business value while expediting the production timeline. We emphasize bridging the gap from proof-of-concept to production, as numerous generative AI initiatives fall short in delivering clear ROI.By harnessing advanced reinforcement learning technologies, you will aid in the customization of large language models for production readiness. Your responsibilities will include constructing synthetic data pipelines to launch models into production and identifying useful signals for ongoing model refinement utilizing real-world feedback. We seek self-motivated, business-savvy, and driven individuals eager to support the deployment of a highly technical product. As this is an early-stage role, you will have the opportunity to influence our research initiatives and product development as we expand.This is an in-person role located at our Toronto or New York office.

Join Stratum AI as a Forward Deployed Machine Learning Engineer and be part of our Technical Services team focused on tackling complex real-world challenges.In this role, you will work extensively with custom architectures using PyTorch, applying your expert knowledge of complex Convolutional Neural Networks, Graph Neural Networks, and Transformers.We prefer candidates based in Canada for this remote-first position.Technical Services Team ResponsibilitiesConduct foundational research to design and implement advanced AI resource modeling techniques applicable to various mining operations.Refine existing architectures to train resource models tailored for specific mines.Effectively communicate model quality, metrics, performance, and methodologies to non-ML technical stakeholders.Identify opportunities for enhancing mining operations and garner client support for new modeling parameters.Monitor deployed model performance over time and innovate on ways to improve existing models.Role ResponsibilitiesCustomize Stratum’s deep learning models for specific mining contexts.Develop and sustain high-quality machine learning code using Python.Explore innovative approaches to enhance resource and metallurgical models for specific mines.Allocate 60% of your time to applied ML for individual mines and 40% to foundational ML across multiple mines.Participate in a minimum of 2 mine visits annually to engage directly with clients.Develop into a senior engineer capable of identifying additional applications of our technology with existing clients.Navigate and thrive amidst complex datasets and evolving client needs, turning ambiguity into structured, actionable plans.Role RequirementsMinimum of 2 years of experience in machine learning or related fields.Proficient in Python and PyTorch with a strong foundation in deep learning principles.Experience with Convolutional Neural Networks, Graph Neural Networks, and Transformers is essential.Excellent communication skills, particularly in translating technical concepts to non-technical audiences.Strong analytical and problem-solving abilities, especially in ambiguous situations.

Forward Financing is hiring a Staff Software Engineer specializing in Applied AI. This remote position is open to those based in Ontario, Canada. Role overview This role centers on developing and improving AI-driven solutions that power Forward Financing’s financial services products. Collaboration with engineering, product, and operations teams is a key part of the work, as is delivering machine learning models that help drive efficiency and improve customer experiences. What you will do Design, build, and refine AI-based features for financial products. Partner with cross-functional teams to implement machine learning models that support business goals. Optimize current AI systems to streamline workflows and strengthen business outcomes.

Brex provides an intelligent finance platform used by organizations in more than 200 markets. The platform brings together global corporate cards, banking, spend management, bill payment, and travel software. Companies such as DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek rely on Brex for real-time financial visibility and streamlined expense management. Automation powered by AI helps reduce manual accounting work so teams can focus on higher priorities. Diversity and inclusion are important at Brex. The company aims to foster an environment where people can build their careers with strong support and resources. Engineering at Brex Engineering teams span Software, Data, Security, and IT. Teams operate with autonomy, collaborate across functions, and take ownership from architecture through deployment. Technical excellence is valued, and engineers are encouraged to develop as both builders and leaders. Role overview The Forward Deployed Agent Builder role centers on creating AI agents that automate and enhance internal processes at Brex. This is a hands-on, technical position involving direct collaboration with teams across the company. The work requires understanding team workflows, designing and building solutions, and delivering practical results. Projects involve designing, developing, and deploying agents using existing models and frameworks, as well as integrating tools, MCPs, and internal systems into agent-driven workflows. The process is iterative and collaborative, with an emphasis on outcomes that matter to internal partners. Key responsibilities Work closely with partner teams to understand their workflows, including shadowing and participating in daily activities. Design, develop, and deploy AI agents to automate internal processes. Integrate tools, MCPs, and internal systems into agentic workflows. Iterate on solutions in partnership with the teams whose processes are being automated. Work environment This role is based in Vancouver, British Columbia. Brex operates a hybrid work model, with employees coordinating at least three in-office days per week (Monday, Wednesday, and Thursday). Up to four weeks per year can be worked fully remote.

Join Our TeamAt LangChain, we are driven by a vision to make intelligent agents a staple in everyday technology. Our goal is to empower developers to transform their innovative concepts into production-ready AI agents that are reliable and effective. Initially recognized for our open-source tools, we have expanded our offerings to include a comprehensive platform for building, evaluating, deploying, and managing agents at scale.Today, our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are actively utilized by teams creating real AI solutions across a diverse range of organizations, from startups to Fortune 500 companies. Major players such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 trust LangChain to enhance their AI initiatives.With a robust funding of $125M from Series B led by IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are expanding our product range, accelerating growth, and ensuring that each team member has a significant impact on our trajectory. At LangChain, your contributions will directly influence how this transformative technology is integrated into the world.About the Deployed Engineering TeamThe Deployed Engineering team collaborates closely with organizations to implement and manage AI agents in production environments, translating innovative ideas and prototypes into robust, dependable systems.This team is comprised of highly skilled professionals who engage with customer engineers throughout the entire lifecycle, from pre-sales assessments to post-deployment guidance. Our primary objective is to achieve technical success, co-create agent architectures, and support customers in the reliable operation of agents at scale using the LangChain suite.Deployed Engineers are positioned at the nexus of engineering, product development, and market strategy, influencing the practical adoption of LangChain and integrating real-world insights into our platform.Your Role as a Deployed EngineerAs a Deployed Engineer, you will tackle some of the most challenging issues in applied AI—not just demos or research, but systems that are critical for real teams in production settings. The feedback is swift, the impact is clear, and your efforts will directly shape the development of AI agents in practical applications.