AI/ML Engineer / Architect with AWS Bedrock Experience

Key Responsibilities

• Define and maintain the end-to-end AI-PDLC workflow linking code-graph analysis, LLM evaluation, dispositioning, data migration, and productionization.
• Review outputs across the pod to ensure consistency, traceability, and coherence between iterations recognizing that discovery continues through implementation, testing, cutover, and post-go-live defect remediation.
• Resolve cross-workstream conflicts (e.g., a graph finding that changes a data migration disposition) and ensure a single source of truth.
• Set the quality bar for what constitutes a "defensible" disposition and hold the pod accountable to it.
• Coordinate access to Wipro s broader Agentic AI CoE, Data Engineering, and Architecture Community so the pod benefits from cross-engagement patterns, not just its own five members.

Required Skills

• Amazon Bedrock (mandatory production experience, not POC/evaluation)
• AI-PDLC / AI product development lifecycle discipline
• Cross-workstream technical coordination across AI, data, and application teams
• Client-facing communication and escalation management with senior stakeholders
• Architecture governance in regulated/financial services environments

Relevant Experience

• 10+ years in AI/data/software architecture with recent experience leading GenAI or Agentic AI delivery pods.
• Confirmed hands-on AWS Bedrock production deployment (not just AWS familiarity).
• Proven experience as a single technical point of contact for enterprise clients on complex, multi-year modernization/migration programs.
• Financial services / capital markets / wealth management domain experience strongly preferred.

Expected Deliverables / Work Products

• AI-PDLC workflow and governance model
• Pod status and escalation reporting
• Cross-workstream consistency reviews
• Disposition quality/defensibility bar and audit trail