Architect / Principal Software 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

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.#1098579355ResponsibilitiesSet architectural direction across multiple AI pods, making clear trade-offs between model capabilities, cost, latency, and operational complexitySpend roughly a third of your time in code: writing backend AI services, building orchestration patterns, and defining integration contracts with frontend teamsDesign agent workflows with streaming responses, predictable error handling, and low latency for chat and automated tasksEstablish shared standards for Model Context Protocol (MCP) servers, tool schemas, and context managementWork with Okta Security and Infrastructure to enforce least-privilege tool execution, tenant isolation, and secret handling within agent loopsDefine observability requirements and service-level objectives, including tracing with tools like LangSmith or Arize PhoenixMentor Staff and Senior engineers through direct design reviews and technical guidanceRequirements10+ 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 LangChain, LangGraph, AWS Bedrock, Anthropic Claude, or OpenAI APIs. Candidates with classical ML backgrounds (PyTorch, scikit-learn) who moved into generative AI architectures are welcomeHands-on experience with LangGraph or similar stateful agent frameworks, particularly managing state graphs, loops, checkpointing, and human-in-the-loop steps3 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 clientProduction AWS experience, including EKS or ECS, Lambda, Bedrock, S3, Docker, and Terraform or OpenTofuAuthentication and security fundamentals, specifically OAuth 2.0, OIDC, and secure credential handlingNice to havePractical experience building custom MCP servers and defining tool discovery patternsExperience migrating from older retrieval systems (such as Amazon Kendra) to vector platforms like OpenSearch, Pinecone, or QdrantExperience handling multimodal data (images, documents) within LangGraph stateBackground in Identity and Access Management (IAM) or Customer Identity (CIAM)We offerMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid 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 yearLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase ProgramIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) ProgramFor remote work in New York City only.EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAMThis 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.Applications will be accepted on a rolling basis.EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.