AI-Native SDLC Solutions Architect

EPAM Systems, Inc.; Singapore; Remote; SGD 150,000 - 210,000; Full time

Job summary

EPAM Systems, Inc. is expanding its Singapore-based AI-Centric Delivery practice. We seek a Solutions Architect to design and deliver enterprise architectures where AI serves as a foundational capability. You will prototype, validate architectures, and guide engineering teams in implementing AI-augmented SDLC workflows.

The role emphasizes hands-on prototyping, senior-level delivery, and collaboration with client stakeholders to ensure secure, scalable AI integration across the stack.

Qualifications

• Senior-level software/solutions architecture with enterprise delivery experience.
• Hands-on with large language models and generative AI (Anthropic Claude, OpenAI GPT, Google Gemini).
• Experience designing agentic workflows, tool-use memory, multi-step reasoning, and human-in-the-loop patterns.

Responsibilities

• Design, build and validate AI-SDLC developer agents and multi-agent orchestration workflows.
• Advise senior client stakeholders by translating business requirements into AI-augmented solution architectures.
• Architect and integrate AI-enabled workflows across the engineering stack including CI/CD, code review, testing and documentation.
• Deliver prototypes under tight delivery windows to demonstrate AI-native engineering value.
• Lead end-to-end design of enterprise architectures with agentic systems and RAG pipelines.
• Collaborate with engineering, product, and enterprise architecture teams to align with security and governance.

Skills

Senior leadership

Solutions architecture

Prompt engineering

LLM optimization

Cloud platforms

Distributed systems

Tools

LangChain

LangGraph

CrewAI

AutoGen

LangSmith

Arize

FAISS

Pinecone

Qdrant

Job description

EPAM Systems, Inc. is expanding its Singapore-based AI-Centric Delivery practice. We seek a Solutions Architect to design and deliver enterprise architectures where AI serves as a foundational capability. You will prototype, validate architectures, and guide engineering teams in implementing AI-augmented SDLC workflows.

The role emphasizes hands-on prototyping, senior-level delivery, and collaboration with client stakeholders to ensure secure, scalable AI integration across the stack.