Architect​/Principal Software Engineer

Position: Architect / Principal Software Engineer
We are looking for an Architect / Principal Software Engineer to lead the technical direction of our AI Engineering pods. You will split your time between hands-on engineering (about 30% to 40% prototyping core workflows, building reference implementations, and reviewing code) and higher-level system architecture, technical standards, and mentorship across teams.

You will work closely with US-based Product, Security, Data, and Infrastructure teams to make sure our agentic systems are reliable, fast, and secure. Your main focus will be designing predictable multi-agent workflows, low-latency LLM orchestration services, and retrieval pipelines that run cleanly in production.

Req.#Responsibilities Set architectural direction across multiple AI pods, making clear trade-offs between model capabilities, cost, latency, and operational complexity

Spend roughly a third of your 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

Work with Okta Security and Infrastructure to enforce least-privilege tool execution, tenant isolation, and secret handling within agent loops

Define observability requirements and service-level objectives, including tracing with tools like Lang Smith or Arize Phoenix Mentor Staff and Senior engineers through direct design reviews and technical guidance Requirements
10+ years of software engineering experience, with a background in designing, scaling, and operating distributed backend systems6+ years of Python experience, especially with FastAPI, AsyncIO, and modern typing practices. Python is our primary language for backend and AI services3+ years building production systems with LLMs, including Lang Chain, Lang Graph, AWS Bedrock, Anthropic Claude, or OpenAI APIs. Candidates with classical ML backgrounds (PyTorch, scikit-learn) who moved into generative AI architectures are welcome

Hands-on experience with Lang Graph or similar stateful agent frameworks, particularly managing state graphs, loops, checkpointing, and human-in-the-loop steps3 to 4 years of React and Type Script 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 Open Tofu Authentication  and security fundamentals, specifically OAuth 2.0, OIDC, and secure credential handling

Nice to have Practical experience building custom MCP servers and defining tool discovery patterns

Experience migrating from older retrieval systems (such as Amazon Kendra) to vector platforms like Open Search, Pinecone, or Qdrant Experience handling multimodal data (images, documents) within Lang Graph state

Background in Identity and Access Management (IAM) or Customer Identity (CIAM)
We offer

Medical, Dental and Vision Insurance (Subsidized)
Health Savings Account Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability (Company Provided)
Life and AD&D Insurance (Company Provided)
Employee Assistance Program Unlimited access to Linked In learning solutions

Matched 401(k) Retirement Savings Plan Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
Paid Holidays - nine (9) total per year Legal Plan and Identity Theft Protection Accident Insurance Employee Discounts Pet Insurance Employee Stock Purchase Program If otherwise eligible,…