Developer Advocate – Agentic Platform at MoveWorks

Role overview Moveworks, a part of ServiceNow, is seeking a Staff AI Agent Engineer to join the Engineering, Infrastructure, and Operations team in London. This full-time position centers on deploying AI solutions that enhance both customer experiences and business operations. What you will do Design, build, and launch AI-driven applications tailored for customer needs Streamline business processes by applying advanced AI technologies Collaborate with cross-functional groups to integrate AI into service offerings Promote operational efficiency by introducing technical improvements Requirements Experience as a mid-senior level engineer focused on AI application development Proven track record in deploying and integrating AI solutions Ability to work effectively with both engineering and business teams Location This role is based in London.

Role overview ServiceNow is seeking a Senior AI Agent Engineer to join the Customer Deployment team in London. The position centers on building and deploying advanced AI agent solutions that support clients in meeting their objectives. Deep experience in artificial intelligence and engineering is essential, especially in the context of customer deployment strategies. What you will do Design, develop, and maintain AI agent systems tailored to customer requirements Collaborate with cross-functional teams to ensure effective implementation of AI solutions Refine and enhance AI capabilities to improve user experience and drive customer satisfaction Collaboration and impact This position sits at the intersection of engineering and customer success. The Senior AI Agent Engineer will work with teams across ServiceNow, helping deliver reliable and effective AI deployments that create tangible value for clients.

Join our dynamic team at Moveworks as a Senior Customer Success Manager, where you will play a pivotal role in driving customer engagement and ensuring the success of our innovative AI solutions. In this strategic position, you will collaborate closely with our clients to understand their needs, provide tailored solutions, and foster long-lasting relationships. Your expertise will be crucial in guiding customers through their journey with us, ensuring they derive maximum value from our offerings.

OpenAI is hiring a Partner AI Deployment Engineer in London, UK, with a focus on AWS solutions. This role involves working alongside teams from various functions to bring advanced AI technologies to partner organizations. Responsibilities Collaborate with internal groups and external partners to integrate AI systems using AWS infrastructure. Tune and optimize the performance of AI deployments within partner environments. Offer technical support throughout and after deployment to maintain reliable operations. Requirements Proven experience with AWS services and architectures. Background in deploying and supporting AI or machine learning solutions. Comfort working with both technical and non-technical stakeholders in collaborative settings.

About WRITER WRITER builds AI technology for some of the world’s largest enterprises, helping them unlock new ways of working. Companies like Mars, Marriott, Uber, and Vanguard use WRITER’s platform to create and deploy AI agents tailored to their own data and needs. With a valuation of $1.9 billion and support from investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is recognized as a leader in enterprise generative AI. Founded in 2020, WRITER has offices in San Francisco, New York City, Austin, Chicago, and London. The team values ambition and innovation, working together to shape the future of AI-powered work. Role Overview: AI Deployment Engineer The AI Deployment Engineer will join WRITER’s London office in a hybrid capacity. This role combines technical expertise with strategic client engagement. The engineer will work directly with enterprise customers to understand their business challenges and design AI solutions using WRITER’s platform and large language models. Responsibilities include translating complex client requirements into practical applications, collaborating with IT and business teams, and helping clients achieve measurable results. The role also involves supporting customer success and influencing the evolution of WRITER’s products. Key Responsibilities Partner with enterprise clients to identify business needs and challenges Design and implement AI-powered solutions using WRITER’s platform and LLMs Translate requirements into effective, real-world applications Work closely with both IT and business stakeholders Support clients in adopting and championing AI within their organizations Contribute feedback to help shape the future direction of WRITER’s products Location This is a hybrid position based in London, UK.

At Docker, we are dedicated to simplifying application development, allowing developers to concentrate on what truly matters. Our remote-first team is global, united by a shared passion for innovation and exceptional developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker stands as the leading tool for building, sharing, and running applications, trusted by both startups and Fortune 100 companies alike. We are in a rapid growth phase and just getting started. Join us for an exciting journey!As part of Docker's AI engineering team, you will play a pivotal role in shaping the future of containerized AI agents. Docker containers serve as the ideal platform to host and execute AI agents, providing isolation, portability, and reproducibility.You will contribute to Docker Agent, our open-source project (https://github.com/docker/docker-agent), enhancing it to empower developers to build, deploy, and scale intelligent agents using Docker's container technology.This position offers a unique greenfield opportunity to influence how developers utilize containers for AI agents at scale. You will collaborate with a team of experienced engineers and work closely with our sister teams focused on Ask Gordon and Docker's broader AI platform. This role combines cutting-edge AI techniques with container technology to address real-world developer challenges.Important Note: This position is only available to candidates currently residing in London (or within a reasonable commuting distance). We cannot make exceptions to this location requirement.

Role Overview The Trade Desk is hiring a Staff Software Engineer to help build advanced AI solutions. This London-based role centers on designing and implementing software systems that support and improve AI-driven products. What You Will Do Design and implement software systems for AI applications Work closely with teams across disciplines to expand product capabilities Support integration of new technologies into existing products Collaboration This role involves frequent collaboration with cross-functional teams to ensure AI systems are effective and integrate smoothly with other offerings.

Join CoreWeave as a Principal Solutions Architect and lead the charge in translating visionary AI ambitions into actionable deployment strategies within the automotive and advanced manufacturing sectors.The Physical AI Field Engineering team collaborates with some of the world's leading engineering organizations to architect and realize AI-driven solutions for complex physics challenges. By leveraging industry expertise, machine learning innovations, and large-scale computing infrastructure, you will help enterprises transform their ambitious AI goals into practical, scalable deployments.As CoreWeave enhances its capabilities in AI infrastructure and applied machine learning, your role will be pivotal in identifying transformative engineering problems and designing viable technical pathways to resolve them.

About the Role vega is looking for an AI/Agent Engineer in London. This position focuses on designing and building intelligent agents that address complex challenges. Work will directly support the advancement of AI solutions across the company.

Join Mistral as an AI Deployment Strategist, where you will be pivotal in driving the adoption of our innovative AI solutions. Collaborate closely with customers to transform strategic visions into actionable results, from initial planning to successful implementation. This role blends business strategy with AI deployment, ensuring our clients achieve meaningful outcomes. Work alongside senior executives to design AI roadmaps and partner with our Applied AI team to deliver impactful solutions seamlessly. Ideal candidates are those who thrive in dynamic environments, enjoy tackling complex business challenges, and are driven by a passion for translating AI potential into real-world success.

About Celonis Celonis SE leads the way in Process Intelligence and is known for pioneering Process Mining technology. As a fast-growing enterprise SaaS company, Celonis invests heavily in advanced AI, including the Process Intelligence Graph, to turn data insights into real business results. The company focuses on embedding intelligence into business processes to improve productivity and sustainability worldwide. Team Overview Celonis Services brings together Consulting, Academy, and Customer Support to help clients improve their business processes. The team combines deep product, technical, and industry knowledge to implement Celonis solutions, promote process intelligence adoption, and enhance core business operations. This work draws on best practices, delivery experience, enablement programs, and a strong support network. Role Overview The Senior AI Deployment Architect partners with clients to identify challenges and deliver AI-driven solutions and automations using the Celonis Process Intelligence platform. This role involves collaborating with Product & Engineering and Go-To-Market teams in both pre-sales and post-sales settings. The architect helps standardize and scale AI solutions for customers, with a focus on hands-on client delivery. Main Responsibilities Communicate the Celonis AI vision and value to customers, aligning solutions with their AI strategies. Prototype, develop, deploy, and scale AI solutions tailored to client needs, including both traditional machine learning and large language model (LLM) approaches. Identify and package scalable AI use cases within the Celonis platform to drive innovation and expand offerings. Share AI success stories internally and with customers. Define and lead the execution of the roadmap for AI Lighthouse customers. Work with Product & Engineering and Business Apps teams to guide product development based on client feedback. Train internal teams and support them in positioning and deploying AI solutions. Location London, United Kingdom

About UsPhysicsX is a pioneering deep-tech firm at the intersection of numerical physics and Formula One, committed to fast-tracking hardware innovation to match the pace of software advancements.We are developing an AI-driven simulation software suite tailored for engineering and manufacturing across cutting-edge industries. Our platform facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unparalleled optimization and automation in design, manufacturing, and operational processes. This empowers engineers to expand the limits of what is achievable. Our clientele includes leading innovators in sectors such as Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The RoleWe are seeking skilled Deployment Leads to join our customer-facing teams and serve as the essential link between PhysicsX and our clients. In this position, you will take ownership of the comprehensive deployment of our platform within various customer-owned infrastructure environments. You will collaborate closely with clients to grasp their distinct needs, constraints, and environments, ensuring successful platform adoption and deployment.This is a hands-on technical role that melds extensive infrastructure know-how with strong customer relationship skills. You will act as a trusted advisor, guiding customers through intricate deployments while working in tandem with our platform teams to address real-world deployment challenges.

About Our TeamAt OpenAI, our Recruiting team is the essential link connecting talented individuals with our mission-driven organization. We pride ourselves on a thoughtful, relationship-first approach to hiring, partnering closely with various teams to discover, engage, and support the exceptional people who will shape the future of artificial intelligence. Our commitment is to develop safe artificial general intelligence (AGI) that benefits all humanity.The Recruiting team plays a pivotal role in this mission, focusing on identifying and attracting remarkable individuals who resonate with OpenAI's core values and cultural aspirations. We strive to set a benchmark for excellence and innovation in recruitment, aligning outstanding candidates with opportunities that will significantly impact the future of AI.About the RoleWe are in search of a skilled Sourcer to enhance our talent outreach and strategy for the Forward Deployed Engineering team. You will be integrated into the broader FDE recruitment pod, collaborating with FDE recruiters, other sourcers, coordinators, and business leaders within Forward Deployed.This position presents a unique opportunity for someone with extensive experience in sourcing for go-to-market (GTM) roles and managing the initial stages of the candidate funnel. As a GTM Sourcer, you will build strong relationships with hiring managers across the GTM sector, identify and engage top talent in their respective domains, and work alongside our recruiters and leaders to optimize the teams.Key Responsibilities:Collaborate with hiring managers in the Forward Deployed Engineering team to refine recruiting processes and create tailored sourcing strategies.Conduct highly targeted searches to deliver precise candidate profiles.Develop engaging outreach strategies to attract even the most passive candidates.Build and maintain long-term relationships with high-priority candidates through talent research and mapping.Serve as the primary contact for candidates from initial outreach through to the onsite interview stage, ensuring a remarkable candidate experience.Employ innovative and creative methods to discover talent through events, talks, and more.Maintain a highly organized, data-driven approach to candidate tracking and pipeline health.Represent OpenAI and engage with candidates at industry conferences and events.

Role Overview Dialpad is looking for a Forward Deployment Engineer based in London, UK. This role focuses on delivering smooth integration of Dialpad’s communication software for customers. Collaboration with engineering and product teams is central, as is deploying and tuning software in different environments to maintain strong performance and reliability. What You Will Do Work hands-on to implement and optimize Dialpad’s solutions for client deployments Coordinate with engineering and product groups to address technical challenges Monitor and improve software performance and reliability in customer settings Who Will Succeed Enjoys tackling technical problems and finding practical solutions Has a strong interest in technology and software integration Wants to make a direct impact on client success and efficiency

Join Intercom, the leading AI Customer Service company dedicated to revolutionizing customer experiences across the globe.Our flagship AI agent, Fin, represents the pinnacle of customer service technology, enabling businesses to offer exceptional, round-the-clock support and fundamentally enhance customer interactions. Fin is seamlessly integrated with our Helpdesk, forming the Intercom Customer Service Suite—an all-encompassing solution for intricate inquiries that necessitate human intervention.Established in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining customer service standards. We are driven by our core values of innovation, speed, and delivering remarkable value to our clients.What’s the Opportunity?We are on the lookout for Staff Product Engineers to join our AI Group and contribute to the development of Intercom’s AI-driven products. As a Product Engineer in Machine Learning, you will collaborate closely with both our ML Scientists and Product teams, gaining a comprehensive understanding of our product offerings, customer needs, and ML technological framework.Your responsibilities will include defining new machine learning features, exploring suitable algorithms and technologies, and quickly delivering initial prototypes to our users.Our team is highly focused on product development, collaborating with Product and Design teams. Our dedicated Engineering staff enables us to expedite production, frequently launching beta versions within weeks after successful offline testing.We are passionate about leveraging machine learning technology, having successfully productized everything from traditional supervised models to innovative unsupervised clustering algorithms and unique applications of transformer neural networks. We rigorously test and assess the tangible impact of each model we implement.If you are an accomplished product engineer with a methodical approach to development and practical experience with ML systems, we would love to hear from you!

About H H is focused on advancing superintelligence by developing agentic AI. The team’s mission is to automate complex, multi-step tasks that typically require human effort, enabling AI agents to extend what people can achieve. H values open collaboration, continuous learning, and responsible progress. The company seeks people who care deeply about building agentic technologies safely and who want to contribute to a culture where every voice matters. About the Agent Team The Agent team shapes new learning algorithms and agent paradigms that move agentic systems forward. Work centers on foundational models and reinforcement learning, with a focus on training artificial general agents. Collaboration with the LLM/VLM and Safety teams is central, as the group explores new research directions together. Role Overview: Technical Staff Member - Research - Agent This position is part of the research team and centers on engineering. The main responsibility: define system architectures and build scalable platforms that underpin research efforts. The work involves turning research ideas into reliable, high-performance systems ready for production, supporting the next wave of agentic AI. Location London

About the Role As a Staff AI Engineer at bluefishai, you will take on a pivotal role as a technical leader, driving the development of our LLM-powered products that are at the cutting edge of marketing and advertising technology. You will be instrumental in making architectural decisions, establishing quality benchmarks, and spearheading collaborative initiatives across multiple teams that yield tangible results. This position will empower you to shape the vision and execution of our data platform and LLM-driven products. You will oversee critical architectural aspects related to data pipelines, model integration, deployment, and evaluation. Your expertise will turn high-level product and business objectives into robust, scalable data solutions that provide measurable benefits for our Fortune 500 clients. This role encompasses both data backend and ML engineering, ensuring the reliability and cost-effectiveness of our pipelines while enhancing the performance of LLM-enabled features. You will elevate data literacy within the department through crafting and collaboration. Your responsibilities will include ensuring the health, cost management, and continuous improvement of key data products and platforms, working closely with full-stack engineers, product managers, designers, and devops to deliver reliable solutions that our customers can depend on. This is an exciting opportunity to influence the future of AI technologies and contribute significantly to impactful real-world applications. While this role is associated with our London office, we embrace flexibility with hybrid or remote work arrangements within the UK.

Join Our Innovative Team as a Senior AI Engineer (Agentic Systems)At StarCompliance, we are at the forefront of creating software solutions that address critical compliance needs for our global clientele. As we integrate AI as a fundamental capability throughout our software development lifecycle, we invite you to be part of this transformative journey.We are looking for a Senior AI Engineer to spearhead the practical implementation and expansion of AI-assisted and agentic engineering within our teams. This is a hands-on role where you will engage directly with real codebases, leveraging cutting-edge AI-native development environments (Cursor preferred) to revolutionize the software development process.Your mission will be to evolve AI from a mere tool into a fully embedded system that is repeatable and scalable. You will craft and execute playbooks, establish workflows, and define patterns that allow our teams to harness the power of parallel AI agents, facilitate autonomous code reviews, and create AI-driven delivery pipelines. Additionally, you will play a pivotal role in launching new initiatives, ensuring they are built on the right architecture and AI-enabled engineering practices from the outset.This position is part of our R&D Engineering team and collaborates closely with Platform, QA, and Product Engineering. Here, influence is gained through tangible delivery rather than hierarchy.Our Vision of AIWe view AI not just as an assistant, but as an integral component of our engineering ecosystem. We expect engineers in this role to embrace this perspective and drive our AI initiatives forward.

At Scope, we are revolutionizing the $2 trillion compliance and regulatory landscape, empowering the physical world to innovate at an unprecedented pace. Heavy industries face a dilemma: how to balance safety and security with the need for speed and innovation. Manual standards are crucial for maintaining infrastructure quality; however, the hours spent on reporting findings are not.The billion-dollar testing, inspection, and certification (TIC) sector still predominantly relies on outdated methods like pen and paper, Excel, and Word, impairing the supply chain and stifling innovation. Each day, over a million inspectors assess infrastructure, factories, and goods using technology that has remained stagnant for decades. This reliance results in delays, errors, and substantial financial losses. We are harnessing AI to transform this reality, creating a future where inspections are instantaneous, accurate, and fully automated. Join us in making the impossible possible!We proudly collaborate with 7 of the top 10 companies in the TIC industry, achieving an impressive 8x revenue growth last year and are projected to reach $10 million ARR by 2026. Our clientele represents 21% of the UK GDP, including industry giants like Shell, AstraZeneca, and SpaceX. Our team consists of exceptional talents, including seasoned founders and alumni from prestigious firms such as DeepMind, Amazon, and McKinsey.In 2024, we successfully raised our pre-seed funding from Susa Ventures, a firm with a remarkable 1 in 10 unicorn hit rate (including Flexport and Robinhood). They re-invested at triple the valuation in 2025, contributing to our total of $4 million raised as we prepare for our Series A round in the coming months.Our mission is to empower inspectors with superhuman capabilities by developing report-writing tools that not only enhance their work-life but also significantly boost company profit margins by 10-20%, reduce reporting time by 80%, and effectively double their productivity overnight.As the Deployment Lead, you will play a pivotal role in spearheading our most critical AI deployments, while guiding and mentoring a team of elite Deployment Strategists. Your task will involve translating complex operational challenges into scalable solutions, acting as the vital link between hands-on client success and broader revenue and product strategies. This is a high-stakes, 1-to-100 scaling phase; your contributions will be crucial in expanding our accounts globally, standardizing our processes, and enhancing our go-to-market strategies across Europe and the Americas.