Senior​/Lead Forward Deployed AI Engineer​/Architect-Copilot​/Azure

New Rocket is seeking a highly skilled Senior Forward Deployed AI Engineer and Architect 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, New Rocket 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 Service Now and broader enterprise ecosystems. You will also contribute directly to the evolution of New Rocket’s AI platforms, accelerators, and intellectual property, including the New Rocket 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.

Remote with travel (~70%)

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations within client Service Now 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 New Rocket 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.

• Build enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms as appropriate for the client use case.
• Apply effective prompt and context-engineering techniques, including clear instructions, examples, role and task definition, structured inputs, response constraints, and long-context management.
• Design and implement AI workflows using structured outputs, tool use/function calling, API integrations, multi-step orchestration, and human-in-the-loop review patterns.
• Build retrieval-augmented generation (RAG) solutions that ground AI responses in authorized enterprise data and knowledge sources.
• Implement practical techniques to improve reliability and user trust, including citation or source-grounding patterns, validation, confidence thresholds, output schemas, fallback handling, and escalation workflows.
• Stay current on Anthropic platform capabilities, Claude model releases, implementation guidance, responsible AI principles, and enterprise deployment best practices.
• Complete relevant Anthropic training, partner enablement, and technical education programs as available, and incorporate those practices into New Rocket solution delivery.

• Build demos, prototypes, and proof-of-concept implementations that validate AI-driven workflows and customer use cases.
• Rapidly iterate with customers and internal teams to refine AI-powered solutions based on feedback, performance results, and operational needs.
• Support the design and implementation of AI orchestration, LLM integrations, agentic decision models, and workflow automation patterns.
• Evaluate when an agentic approach is appropriate versus deterministic automation, traditional workflow logic, search, analytics, or human review.
• Develop reusable implementation patterns, solution…