Forward Deployed AI Engineer - Agentic Systems Lead

EPAM Systems • New York, NY

3d

About The Position

Own end-to-end delivery of AI-native solutions embedded directly within client environments. The role focuses on designing and operating agentic frameworks that solve business problems and move beyond prototypes. As the AI-Native Delivery Manager's direct technical counterpart, you will drive workstream completion and deliver production AI-native solutions. You will work with client business and technical stakeholders, adapt agentic systems to integration, data, and security constraints, and help shape future delivery practices by documenting engagement learnings. The role also includes mentoring engineers toward greater delivery ownership.

Requirements

• 8+ years of software engineering experience with recent hands-on leadership of agentic or LLM-based systems in production environments.
• Deep expertise in agent architecture and orchestration, including goal decomposition, multi-agent coordination, and autonomy-versus-handoff decision frameworks.
• Proven experience grounding models in live data systems through retrieval, context construction, and maintaining accuracy against changing knowledge sources.
• Ability to design guardrails, evaluations, and observability for agentic failure modes including hallucination, tool-call errors, and runaway loops.
• Understanding of production trade-offs such as latency, cost per call, rate limits, versioning, and rollback under fixed-fee or managed-output SLAs.
• Demonstrated ownership of technical workstream outcomes with accountability for results, including integration into client environments with security and legacy constraints.

Responsibilities

• Own technical outcomes end-to-end as the AI-Native Delivery Manager's direct counterpart, driving workstream completion beyond task execution.
• Design, build, and operate agentic frameworks, tools, evaluations, and infrastructure that power production AI-native solutions.
• Work embedded with client business and technical stakeholders, adapting agentic systems to real integration, data, and security constraints.
• Partner with delivery managers on scope and SLA definition, providing technical grounding for realistic commitments and timelines.
• Contribute engagement learnings to the delivery playbook, documenting staffing patterns, tooling choices, and integration insights for future teams.
• Mentor less experienced engineers on the FDE pillar spectrum, helping them grow from build-focused roles to full delivery ownership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed