Architect / Principal Software Engineer

EPAM Systems Inc; Los Angeles (CA); Remote; USD 140,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

Health Savings Account

Flexible Spending Accounts (Healthcare

Short-Term and Long-Term Disability

Life and AD&D Insurance

Employee Assistance Program

LinkedIn Learning access

401(k) Retirement Savings Plan

Paid Time Off

Paid Holidays

Legal Plan and Identity Theft

Pet Insurance

Employee Stock Purchase Program

Annual bonus program

Long-Term Incentive Program

Job summary

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

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

Qualifications

• 10+ years of software engineering experience, with distributed backend systems.
• 6+ years of Python experience with FastAPI/AsyncIO.
• 3+ years building production systems with LLMs (LangChain, LangGraph, OpenAI, AWS Bedrock).
• Hands-on with LangGraph or similar stateful agent frameworks, managing state graphs and loops.
• 3–4 years of React and TypeScript experience, review UI code and streaming APIs.
• Production AWS experience: EKS/ECS, Lambda, Bedrock, S3, Docker, Terraform/OpenTofu.
• OAuth 2.0/OIDC security fundamentals.

Responsibilities

• Set architectural direction across multiple AI pods, balancing model capabilities, cost, latency, and complexity.
• Spend ~1/3 of time coding back-end AI services and defining integration contracts with frontend teams.
• Design agent workflows with streaming responses and low latency for chat/automated tasks.
• Establish shared standards for Model Context Protocol servers, tool schemas and context management.
• Enforce least-privilege tool execution, tenant isolation, and secret handling with security teams.
• Define observability and SLIs, including tracing with LangSmith or Arize Phoenix.
• Mentor Staff and Senior engineers through design reviews and guidance.

Skills

System architecture

Distributed backend design

Mentoring Staff

Code review

Security fundamentals

Tools

LangChain

LangGraph

AWS Bedrock

OpenAI APIs

Docker

Terraform/OpenTofu

Job description

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.#1098579355

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 LangSmith 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 systems
• 6+ years of Python experience, especially with FastAPI, AsyncIO, and modern typing practices. Python is our primary language for backend and AI services
• 3+ years building production systems with LLMs, including LangChain, LangGraph, 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 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

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 OpenSearch, Pinecone, or Qdrant
• Experience handling multimodal data (images, documents) within LangGraph 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 LinkedIn 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, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This Remote Position Cannot be Performed in New York City.

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $140,000 - $165,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.