[Hiring] Forward Deployed AI Engineer @EPAM

Role Description

Step into a high-impact role where you'll own end-to-end delivery of AI-native solutions embedded directly within client environments. As a Forward Deployed Expert, you'll design and operate agentic frameworks that solve real business problems, not just build prototypes. Join EPAM to engineer solutions that matter.

• 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.

Qualifications

• 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.