AI/ML engineer/Architect with hands on exp in AWS Bedrock

· 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.

· 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

Please ensure your submissions includes the following, else please consider submission as Invalid / rejected.

1. You / your team has to video interview candidate, and ask them to show a physical ID (masking PII information), seek consent and submit with screenshot of that photo ID.
2. Only 2 quality pre-qualified candidates.

Here are details about the requirement.

$60 on W2