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Niche Agentic AI skillset reduces applicant pool, but metro location and known employer raise competition.
Highly specialized Agentic AI and cloud platform expertise limits cross-industry portability.
Explicit 8-12 years plus mandatory Agentic AI and AWS/GCP platform expertise required.
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Define technical vision and architecture standards for enterprise Agentic AI solutions.
Design and implement multi-agent systems using Google ADK and AWS Agentic AI services (Bedrock, AgentCore, SageMaker).
Lead client workshops, pre-sales activities, solution architecture discussions, and mentor AI engineering teams.
8-12 years of experience in Software Engineering, AI Engineering, Solution Architecture, or Enterprise Application Development.
Hands-on expertise with Google Agent Development Kit (ADK), AWS Bedrock, AgentCore, SageMaker.
Strong Python development skills and experience with large language models (LLMs), AI orchestration, and workflow automation.
Location: Pune (onsite or hybrid) - explicitly mentioned; Notice period: Not explicitly mentioned in the JD.
Experienced in architecting enterprise-scale AI and multi-agent distributed systems integrating cloud-native platforms.
Proven ability to lead technical pre-sales, client stakeholder engagements, and translate business problems into AI solutions.
Strong mentoring and leadership capabilities with a focus on building secure, scalable, production-ready AI platforms.