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# Solutions Architect (AI Native SDLC)

- **Company:** EPAM Systems, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Generation, Code Review, Databases, Continuous Integration, Data Architecture, Systems Development Life Cycle, Software Engineering, Systems Integration, User-Centered Design, Datadog, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Event Driven Architecture, HuggingFace, Enterprise Integration, Api Design, GPT, Software Version Control, Microservices
- **Published:** June 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1a535d0166805777

## About the Role

Do you have experience in Systems integration?, * Proven track record as a senior software engineer or solutions architect with successful delivery across complex enterprise-scale engagements

 * Hands-on expertise with large language models and generative AI (such as Anthropic Claude, OpenAI GPT or Google Gemini)
 * Demonstrated capability in prompt engineering, model selection, context management and cost and latency optimization in production environments
 * Background in designing and implementing agentic workflows involving tool use, memory systems, multi-step reasoning and human-in-the-loop patterns
 * Solid foundation in enterprise architecture fundamentals, including cloud platforms (AWS, Azure or GCP), microservices, API design, data architecture and integration patterns
 * Clear communication practices for navigating strategic design and hands-on implementation to validate architectural decisions through working prototypes

Nice to have

 * Familiarity with multi-agent orchestration frameworks like CrewAI, AutoGen or LangGraph
 * Knowledge of LLM evaluation, guardrails and observability tooling like LangSmith or Arize
 * Practical understanding of AI development frameworks, including LangChain, LlamaIndex or Hugging Face
 * Exposure to vector database technologies like FAISS, Pinecone, Qdrant, Chroma or Weaviate
 * Experience deploying AI-assisted code generation tooling at an organizational scale
 * Background in enterprise integration platforms, event-driven architecture or data mesh

## Description

Join our AI-Centric Delivery practice as a Solutions Architect. You will design and deliver enterprise solution architectures where AI serves as a foundational engineering capability. Combine your architectural expertise with hands-on application to build AI-augmented software development lifecycle (SDLC) workflows, agentic systems and LLM-powered delivery tooling.

This execution-oriented role empowers you to define technical direction, validate architectures through personal prototyping and work alongside engineering teams during implementation to drive real impact.

Responsibilities

 * Design, build and validate AI-SDLC developer agents and multi-agent orchestration workflows focusing on automation and engineering throughput
 * Advise senior client stakeholders by translating business requirements into AI-augmented solution architectures
 * Communicate design trade-offs across latency, cost, observability and risk
 * Architect and integrate AI-enabled workflows across the engineering stack, including version control, CI/CD pipelines, code review, testing and documentation
 * Deliver functional prototypes within tight delivery windows to demonstrate the value of AI-native engineering approaches
 * Lead the end-to-end design of enterprise solution architectures incorporating agentic systems, LLM-powered workflows and RAG pipelines
 * Collaborate with engineering leads, product owners and enterprise architecture teams to align solution designs with security, governance and integration requirements


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