Generative AI Solution Architect

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers clients to become AI-native enterprises, driving measurable value from innovation and digital investments.

• 8+ years of experience in software development and solution architecture, with a proven record of delivering enterprise solutions
• Strong coding proficiency and ability to prototype, automate, and collaborate with engineering teams across multiple technologies
• Hands-on expertise with at least one major cloud platform (Azure, AWS, or GCP) and familiarity with containers, Kubernetes, and Infrastructure as Code
• Solid understanding of data engineering, integration patterns, data governance, and privacy-by-design principles
• Practical experience or strong theoretical grounding in Generative AI, including orchestration frameworks (LangChain, LlamaIndex), vector databases, and model APIs
• Excellent client engagement, communication, and presentation skills, with the ability to manage ambiguity and deliver results in complex environments
• Fluency in English, both written and spoken

Nice to have:

• Experience with Multimodal AI, including vision/OCR, audio (TTS/STT), video processing, document intelligence, or synthetic data generation
• Background in domain-specific environments such as Financial Services, Retail, Life Sciences & Healthcare, or other regulated industries
• Understanding of AI security and risk management, including prompt injection, data poisoning, and third-party model vulnerabilities
• Familiarity with UX design for AI assistants, human-in-the-loop review systems, and enterprise-scale adoption or change management
• Openness to occasional travel for key client engagements, such as workshops, project kick-offs, or strategic planning sessions

• Design and deliver scalable, resilient, and secure enterprise-grade solutions, ensuring alignment with business goals and technical strategy
• Lead architecture design sessions and guide engineering teams through hands-on prototyping, implementation, and best practices
• Collaborate closely with clients to understand needs, define outcomes, and translate business challenges into actionable architectural blueprints
• Drive modernization initiatives leveraging cloud-native technologies, data platforms, and event-driven systems
• Integrate Generative AI components into solutions, applying frameworks, APIs, and vector databases to achieve measurable impact
• Communicate complex technical concepts clearly to executive stakeholders, contributing to discovery workshops, demos, and pre-sales activities

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