Forward Deployed AI Engineer – Agentic Delivery

About the Role

We are expanding our agentic delivery capability within the Health and Public Services portfolio and are looking for a Forward Deployed AI Engineer to join the team. This is a hands-on, client-facing role focused on designing and implementing agentic systems with both autonomous and semi-autonomous agents to support delivery for government and public sector clients. The position involves establishing patterns, guardrails, and governance to enable scalable solutions across multiple engagements. The role will be embedded with delivery teams and clients, building agents that transform work into repeatable capabilities.

Responsibilities

• Design, build, and deploy agentic systems (single and multi-agent) to automate key aspects of public service delivery
• Develop reference architectures, tools, and reusable patterns for agentic delivery in public sector, defense, and public safety contexts
• Create robust evaluation frameworks, observability tools, and guardrails to ensure agent behavior is measurable, safe, and reliable in production
• Establish governance for autonomy levels, human-in-the-loop checkpoints, and escalation protocols, especially in regulated environments
• Select and integrate appropriate technologies for each use case (agent harnesses, IDE-based agents, cloud agents, orchestration frameworks)
• Coach delivery teams on agentic engineering best practices and contribute to capability maturity

Required Qualifications

• 4–8+ years of software engineering experience, with a strong track record of delivering production systems
• Excellent communication and stakeholder management skills; comfortable operating independently in client-facing, ambiguous environments
• Hands-on experience developing agentic systems using LLMs, including tool use, function calling, multi-step reasoning, and orchestration
• Highly proficient in Python, Java, React and/or TypeScript
• Experience designing evaluation and guardrail mechanisms for non-deterministic AI systems

Preferred Qualifications

• Experience with agent frameworks and harnesses, vector databases, RAG, and orchestration tools
• Background in consulting, solutions engineering, or technical delivery leadership
• Demonstrated success in building reusable capabilities, accelerators, or internal tools that scale across teams
• Previous experience delivering technology solutions for public sector or government clients
• Understanding of security posture and policies for public service, defense, and public safety environments
• Familiarity with the public sector technology stack