Jobs · Engineering

AI Solution Architect | Full-Time

EPAM Systems · United States · 3 wk ago
RemoteRemoteEngineering$150k–$170k/yrFull-time

Responsibilities

  • Define and own the architecture strategy for AI, GenAI, and Agentic AI solutions built on the ELITEA platform
  • Design scalable, secure, and reusable AI agent architectures aligned with enterprise standards and governance requirements
  • Collaborate with business and technology stakeholders to identify AI adoption opportunities and translate business needs into actionable solution designs
  • Establish integration patterns with enterprise systems, APIs, knowledge repositories, and third-party tools
  • Provide architectural guidance on agent orchestration, prompt engineering, governance, security, and responsible AI practices
  • Mentor development, QA, and platform teams on AI solution implementation and architectural best practices
  • Support customer onboarding, AI adoption programs, and enterprise governance initiatives
  • Create architecture blueprints, reference architectures, reusable frameworks, and implementation standards
  • Conduct client workshops, executive presentations, technical demonstrations, and architecture reviews
  • Continuously evaluate emerging AI technologies and recommend innovations to enhance platform capabilities

Requirements

  • 10+ years of experience in software engineering, solution architecture, or enterprise application architecture
  • Strong understanding of AI, GenAI, LLMs, Agentic AI concepts, RAG, prompt engineering, and AI solution design
  • Proven experience designing enterprise-scale applications, integrations, and cloud-native architectures
  • Hands-on experience with APIs, microservices, workflow automation, and integration frameworks
  • Proficiency with one or more cloud platforms: Azure, AWS, or GCP
  • Excellent stakeholder management, communication, and consulting skills
  • Demonstrated ability to work effectively with business leaders, development teams, and client stakeholders

Preferred Skills

  • Experience with ELITEA or similar Agentic AI platforms
  • Familiarity with GitHub Copilot, Azure OpenAI, Azure AI Services, and AI governance frameworks
  • Exposure to Python, workflow orchestration platforms, automation frameworks, and AI development tools
  • Understanding of Agile, Scrum, SAFe, and modern DevOps practices
  • Experience leading enterprise AI transformation or large-scale AI adoption initiatives

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