Agentic Forward Deployed Engineer

Job Number: R0249575

As an AIforward engineer, you know that access to frontier models is increasingly universal, what differentiates organizations is their ability to deploy them effectively. Your strength is embedding with teams, mapping how work actually happens, and converting that understanding into reliable AI agents that transform operations.

We'reseeking technical depth, advisory instincts, and an ownership mindset to bring agentic AI to workflows where it matters most.

You'lljoin a forwarddeployed engineering cohort thatoperatesclose to the mission, engaging on billable client programs where people execute well defined processes by hand. Your mission is to move from humans executing flowcharts to agents executing flowcharts and elevating humans into supervisors of that automation.

You'llmap workflows and exception paths, decide where deterministic software ends and model judgment begins, and build agents that are reliable, observable, and auditable from day one.

You'llvalidateperformance with evaluation suites and scale from shadow mode to production. Equally important,you'llbring people along winning trust, managing change, training the workforce, and leaving every engagement more capable than you found it.

Youwon'tdo this alone.

You'llhave structured reachback to a central engineering community focused on removing blockers, accelerating data and policy access, and turning fieldbuilt solutions into reusable patterns, playbooks, and shared capabilities. Patterns proven once become capabilities many teams can reuse.

• Embed with client teams toobserveand document how work actually happens, including workflows, systems, data flows, decision points, and the exception paths thataren'tcaptured in formal documentation.

• Produce operating maps and automation roadmaps that prioritize high volume workflows by expected value and risk and determinewhere deterministic software, agent judgment, and humanintheloop approvals each belong.

• Design, build, and deploy AI agents that reason, plan, and act across existing tools, APIs, and data sources while integrating with current systems rather than forcing migrations.

• Develop evaluation frameworks, golden datasets, and regression tests to turn nondeterministic behavior into evidence and scale agents from shadow mode to increasing autonomy to production.

• Instrument everything including audit trails, monitoring, and metrics that let leadership see exactly what agents are doing and the value delivered in hours saved, risk reduced, and outcomes improved.

• Drive adoption and change management to train the workforce, redesignrolesaround supervision of automation, and derisk the transformation for people living through it.

• Codify learnings into playbooks, reusable components, and field feedback to continuously improve shared capabilities across engagements.

Work with us to solve real-world challenges and define the AI and ML strategy for Army enterprise clients.

Join us. The world can't wait.

• 8+ years of experience in software engineering, machine learning engineering, technical advising, or solutions engineering roles

• 4+ years of experience building applications with generative and agentic AI technologies such as LLMs, retrieval augmented generation, or multiagent orchestration

• Experience deploying LLMpowered systems or AI agents to production, including evaluation, monitoring, and iteration after launch

• Experience developing production code in Python or Type Script

• Experience integrating with enterprise systems and data sources such as ERP, CRM, ITSM, or knowledge repositories

• Experience working directly with customers or business stakeholders to elicit requirements, map business processes, and…