Lead AI Platform Architect & Principal Engineer

EPAM Systems, Inc.; United States; Remote; USD 140,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

401(k) Retirement Savings Plan

Paid Time Off

Employee Stock Purchase Program

LinkedIn Learning access

Job summary

EPAM Systems, Inc. seeks an Architect/Principal Software Engineer to steer the technical direction of our AI Engineering pods.

You will split time between hands-on engineering (about 30%–40%) prototyping core workflows, building reference implementations, and reviewing code, and higher-level system architecture, standards, and mentorship across teams. You will work closely with US-based Product, Security, Data, and Infrastructure teams to ensure agentic systems are reliable, fast, and secure,

Qualifications

• 10+ years of software engineering experience, with a background in designing, scaling, and operating distributed backend systems.
• 6+ years of Python experience, especially with FastAPI, AsyncIO, and modern typing practices.
• 3+ years building production systems with LLMs, including LangChain, LangGraph, AWS Bedrock, Anthropic Claude, or OpenAI APIs.
• Hands-on experience with LangGraph or similar stateful agent frameworks, particularly managing state graphs, loops, checkpointing, and human-in-the-loop steps.
• 3 to 4 years of React and TypeScript experience, enough to review UI code, understand frontend state, and ensure streaming APIs work cleanly with the web client.
• Production AWS experience, including EKS or ECS, Lambda, Bedrock, S3, Docker, and Terraform or OpenTofu.
• Authentication and security fundamentals, specifically OAuth 2.0, OIDC, and secure credential handling.

Responsibilities

• Set architectural direction across multiple AI pods, making trade-offs between model capabilities, cost, latency, and complexity.
• Spend roughly a third of time in code: writing backend AI services, building orchestration patterns, and defining integration contracts with frontend teams.
• Design agent workflows with streaming responses, predictable error handling, and low latency for chat and automated tasks.
• Establish shared standards for Model Context Protocol (MCP) servers, tool schemas, and context management.
• Mentor Staff and Senior engineers through direct design reviews and technical guidance.

Skills

Python

Architectural design

Mentoring

System reliability

Security best practices

Tools

FastAPI

AsyncIO

LangChain

LangGraph

OpenAI APIs

AWS Bedrock

Terraform/OpenTofu

LangSmith

Arize

Job description

EPAM Systems, Inc. seeks an Architect/Principal Software Engineer to steer the technical direction of our AI Engineering pods.

You will split time between hands-on engineering (about 30%–40%) prototyping core workflows, building reference implementations, and reviewing code, and higher-level system architecture, standards, and mentorship across teams. You will work closely with US-based Product, Security, Data, and Infrastructure teams to ensure agentic systems are reliable, fast, and secure,