EPAM Systems
3 months ago
Solutions Architect (AI Native SDLC)
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Company information
- Company
- EPAM Systems
- Location
- Australia Australia
- Posted
- 3 months ago
Job description
EPAM Systems is a leading global provider of digital platform engineering and software development services. We help global enterprises innovate, build and transform their core businesses through technology.
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
Requirements
- 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, 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
Required skills
- documentation
- security
- governance
- generative ai
- ai
- sdlc
- aws
- automation
- prompt engineering
- product owners
- testing
- gcp
- azure
- version control
- large language models
- cloud platforms
- ci/cd pipelines
- microservices
- observability
- api design
- data architecture
- code review
- prototyping
- risk
- cost
- cost optimization
- langgraph
- senior software engineer
- event-driven architecture
- data mesh
- llamaindex
- autogen
- solutions architect
- engineering teams
- integration patterns
- langchain
- rag pipelines
- crewai
- business requirements
- hugging face
- faiss
- chroma
- pinecone
- openai gpt
- observability tooling
- latency
- multi-step reasoning
- weaviate
- anthropic claude
- agentic workflows
- production environments
- technical direction
- architectural expertise
- guardrails
- langsmith
- architectural decisions
- enterprise integration platforms
- google gemini
- tool use
- qdrant
- agentic systems
- ai-enabled workflows
- latency optimization
- model selection
- llm evaluation
- strategic design
- senior client stakeholders
- context management
- integration requirements
- hands-on implementation
- engineering leads
- digital platform engineering
- arize
- working prototypes
- memory systems
- ai native sdlc
- software development services
- enterprise solution architectures
- foundational engineering capability
- ai-augmented software development lifecycle
- llm-powered delivery tooling
- ai-sdlc developer agents
- multi-agent orchestration workflows
- engineering throughput
- design trade-offs
- engineering stack
- functional prototypes
- ai-native engineering approaches
- enterprise architecture teams
- enterprise-scale engagements
- human-in-the-loop patterns
- enterprise architecture fundamentals
- multi-agent orchestration frameworks
- ai development frameworks
- vector database technologies
- ai-assisted code generation tooling
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