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Tier-1 employer, metro locations, mid-level generalist GenAI role increases candidate competition.
Role requires specialized GenAI architecture and agent experience, making cross-industry transferability limited.
Explicit 5+ years requirement plus deep GenAI architecture, cloud, agent and vector DB expertise increases filtering.
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Design, architect, and implement Generative AI (GenAI) solutions with focus on RAG, agent frameworks, reusable components/APIs, and MCP server.
Lead production deployment and lifecycle management of GenAI solutions on AWS, Azure, Google Cloud, or Snowflake platforms.
Provide strategic leadership in GenAI adoption including stakeholder management and cross-functional communication.
Bachelor’s degree.
More than 5 years experience in solution architecture focusing on generative AI and agent-based systems.
Strong software engineering skills with hands-on experience building and operating GenAI solutions.
Work Experience Required: 5+ years in solution architecture with GenAI focus.
Experienced in consulting on business and technical requirements for GenAI and agent-based solutions.
Skilled in architecting scalable GenAI platforms integrating LLMs, agent frameworks (e.g., LangGraph, ADK), and vector databases.
Capable of mentoring teams and handling complex GenAI challenges with excellent communication for technical and business audiences.