Forward Deployed AI Engineer - Agentic Systems Lead

EPAM Systems; United States; A distancia; USD 180.000 - 280.000; Jornada completa

Descripción de la vacante

EPAM Systems Inc. is seeking a Forward Deployed Expert to own end-to-end delivery of AI-native solutions embedded within client environments. You will design agentic frameworks and operate them in production, collaborating with client stakeholders to ensure real integration with data and security constraints.

You will lead, mentor, and govern the delivery of complex AI systems, balancing latency, cost, and reliability while shaping future delivery playbooks and best practices.

Formación

• 8+ years of software engineering with recent hands-on leadership of agentic or LLM-based systems in production
• Deep expertise in agent architecture and orchestration, including goal decomposition, multi-agent coordination, and autonomy-versus-handoff decision frameworks
• 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

Responsabilidades

• 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

Conocimientos

Agentic systems

LLM leadership

Production grounding

Guardrails design

Observability

System integration

Security constraints

Stakeholder collaboration

Descripción del empleo

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. From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to explore your ideas, and grow your skills in a culture built for tech excellence. Req.#1100243513

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

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