Senior/Lead Forward Deployed AI Engineer-Anthropic-UK
Deploy and scale Claude/Anthropic-powered AI workflows and agentic solutions within enterprise ServiceNow environments, combining full-stack engineering, RAG, and prompt engineering with client-facing delivery (~25% travel).
- Compensation
- Not disclosed
- Location
- UK- Remote
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 8+ years in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery
- Full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native application experience
- Experience building, deploying, or supporting AI/LLM-powered applications, RAG systems, or agentic workflows
- Production experience integrating APIs, enterprise applications, data platforms, or workflow systems
- Proficiency in JavaScript/TypeScript, Python, or similar languages
- Experience with AWS, Azure, or Google Cloud
- Familiarity with prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation
- Understanding of responsible AI: hallucination mitigation, sensitive-data handling, identity/access controls, human oversight, AI safety
- Customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services experience
- Ability to travel approximately 25%
Nice to have
- Hands-on Anthropic API, Claude models, Anthropic Console, Claude Code experience
- Completion of Anthropic Academy learning or partner enablement training
- Experience with Claude long-context processing, tool use, structured outputs, document analysis
- Familiarity with Model Context Protocol (MCP)
- ServiceNow development, configuration, workflow automation, or platform implementation experience
- Familiarity with ServiceNow scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents
- Experience with vector databases, embeddings, document ingestion, chunking, retrieval strategies
- Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable LLM orchestration frameworks
- AI observability, tracing, evaluation frameworks, prompt/version management, monitoring, cost optimization experience
- Familiarity with Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment
Full description
Senior Forward Deployed AI EngineerAI Foundry | NewRocketLocation: Remote with travel (~70%)
Role Overview
NewRocket is seeking a highly skilled SeniorForward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy, operationalize, and scale AI-powered workflow solutions.
This role blends full-stack engineering, enterprise integration, generative AI implementation, and client-facing solution delivery. Forward Deployed AI Engineers partner closely with business consultants, product teams, AI/ML engineers, and customer stakeholders to translate real-world business problems into secure, reliable, deployable AI-driven solutions.
As an Anthropic partner/vendor, NewRocket is expanding its capability to design and deliver enterprise solutions using Claude and other leading AI technologies. In this role, you will apply modern LLM engineering practices—including prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, agentic workflows, model evaluation, and responsible AI controls—to deliver measurable customer value.
You will help customers implement agentic AI workflows, intelligent automations, and AI-powered integrations within ServiceNow and broader enterprise ecosystems. You will also contribute directly to the evolution of NewRocket’s AI platforms, accelerators, and intellectual property, including the NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, and reusable Agent Packs.
This role requires strong engineering skills, curiosity about emerging AI technologies, sound judgment regarding responsible AI deployment, and the ability to operate effectively in fast-moving customer environments.
Key ResponsibilitiesClient Delivery & AI Solution Implementation
- Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations within client ServiceNow environments and enterprise technology ecosystems.
- Translate customer business requirements, operational processes, and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions.
- Implement and integrate NewRocket Agent Packs, AI accelerators, and workflow solutions into enterprise environments.
- Work directly with customer teams to tailor AI solutions to their operating models, business processes, data sources, security requirements, and user needs.
- Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts.
- Clearly communicate AI capabilities, limitations, tradeoffs, solution behavior, and adoption considerations to technical and business stakeholders.