AI Solution Architect

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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.
We are looking for an experienced AI Solution Architect to design and scale enterprise-grade AI solutions within high-velocity, AI-native delivery pods. In this role, you will serve as a pivotal technical leader, bridging business strategy, product vision, and technical execution. You will establish architecture blueprints, select modern tech stacks, and guide cross-functional teams to build resilient, production-ready AI systems.
Responsibilities
End-to-End Solution Architecture: Design scalable, secure, and resilient architectures for enterprise AI systems, covering data pipelines, model integration, deployment, and monitoring
Modern AI System Design: Architect advanced AI patterns, including RAG, agentic workflows, and hybrid AI architectures using vector databases and graph frameworks
Strategic Product & Tech Alignment: Translate complex business goals and product roadmaps into technical specifications, architecture blueprints, and clear delivery backlogs
Technical Leadership & Mentorship: Guide engineering teams on implementation best practices, design patterns, coding standards, and system maintainability
Technology Evaluation & Strategy: Lead technical discovery, vendor evaluations, framework selections, and trade-off analyses (e.g., build vs. buy, open-source vs. proprietary APIs)
Cross-Functional Collaboration: Partner closely with Product Leads, Engineers, Software Architects, and Business Stakeholders to ensure seamless delivery and measurable ROI
Requirements
Proven Track Record: 3+ years of experience as a Solution/System Architect, Principal Engineer, or Tech Lead, with demonstrated experience delivering enterprise-scale AI solutions into production
Modern AI Engineering: Deep hands-on and architectural experience with modern GenAI patterns (RAG, Multi-Agent systems, function calling, tool use) and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel)
Data & Search Infrastructure: Expertise in vector databases and enterprise search/retrieval strategy
Cloud & LLMOps: Strong background in cloud platforms (AWS, Azure, or GCP) and operationalizing models using
Familiarity with LLMOps/MLOps practices
Software Engineering Core: Solid background in modern backend systems engineering, microservices, API design, and distributed systems
Stakeholder Bridge: Exceptional communication skills with a proven ability to translate deep technical concepts into plain language for executive stakeholders and product leaders
Pragmatic Problem Solver: Comfortable navigating rapid tech evolutions, making trade-off decisions under uncertainty, and advocating for production quality
Excellent command of written and spoken English (B2+ level)
We offer
Full access to cutting-edge tools and technologies
Competitive compensation depending on experience and skills
All-around Social package: professional & soft skills training, medical & family care programs, sports
Free English classes
Unlimited access to LinkedIn learning solutions
Continuous experience exchange with experts and professionals worldwide
Friendly team and comfortable working environment
Engineering, corporate, and social events within and outside the Company
Flexible working schedule
Opportunities for self-realization

Work arrangement
Yes