Role: AI/ML engineer/Architect with hands on exp in AWS Bedrock
Location : Location - Remote with occasional travel to Austin, TX / Fort Mill, SC ( Hybrid)
Contract w2 only
Note - We need AI/ML engineer/Architect with hands on exp in AWS Bedrock
Please submit profile in one pager PPT with profile picture
Please share slots for this week to set up L1 interviews while submission.
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 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
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