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
- 14+ 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
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior