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Tier‑1 brand and Bengaluru location increase candidate density, but seniority and niche GenAI skills moderate competition.
GenAI and AWS-specific toolchain require specialized ML/AI background, limiting transferability.
Mandatory 8+ years and specific Bedrock/SageMaker GenAI skills enforce strict filters.
Lead design, architecture, and implementation of generative AI applications using AWS services like Amazon Bedrock, SageMaker, and AgentCore.
Manage and mentor GenAI engineering teams; oversee software development lifecycle, quality assurance, and client project success.
Drive adoption of AI/ML best practices, cost optimization, responsible AI frameworks, and collaborate with cross-functional teams on AI-driven solutions.
Bachelor's degree required.
Minimum 8 years work experience required.
Proficiency in English (oral and written) mandatory.
Technical skills: Advanced programming in Java, Python, JavaScript; experience with Acceptance Test Driven Development (ATDD), Continuous Integration/Continuous Delivery (CI/CD), API Management, Microservices architecture, and AWS GenAI services (Bedrock, SageMaker).
Experienced in leading AI/ML and software engineering teams delivering enterprise-grade generative AI solutions with AWS platform expertise.
Strong background in software project management, architecture design, and mentoring technical teams on cutting-edge AI technologies.
Skilled at integrating multi-agent orchestration, responsible AI practices, and cost-optimized AI pipelines within complex digital transformation projects.