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Tier-1 employer and metro locations increase applicant density, but specialized GenAI focus limits broad competition.
Role requires deep GenAI architecture and agent expertise, limiting cross-industry transferability.
Explicit 5+ years in GenAI solution architecture plus specific tech and deployment requirements makes filters strict.
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Design, architect, and implement end-to-end Generative AI (GenAI) solutions leveraging RAG, agent frameworks, reusable components/APIs, and MCP server.
Deploy and manage GenAI solutions in production on cloud platforms such as AWS, Azure, Google Cloud, or Snowflake.
Lead long-term development, lifecycle management, and strategic adoption of GenAI solutions with focus on innovation, sustainability, and operational excellence.
Bachelor's degree required.
Minimum 5 years of experience in solution architecture focusing on generative AI, agent-based systems, and related business consulting.
Strong software engineering skills with experience in building and operating GenAI solutions integrating LLMs, agent frameworks, and vector databases.
Experience with production deployment on at least one major cloud platform: AWS, Azure, Google Cloud, or Snowflake.
Experienced in consulting on both business and technical requirements for GenAI and agent-based solution projects.
Capable of strategic thinking and visionary leadership in GenAI adoption including mentoring teams through complex challenges.
Strong communication skills for stakeholder management and cross-functional collaboration across technical and business audiences.