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

- **Company:** Spark Tek Inc
- **Location:** Owings Mills, MD, United States
- **Experience:** Expert
- **Salary:** $124,800
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Information Engineering, Data Migration, Software Product Management, Software Architecture, Software Deployment, Agentic-AI, Amazon Bedrock, Evaluation of Large Language Models
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/8b8cb7e0-6986-46bc-8fea-70a2af06531b/aiml-engineerarchitect-with-hands-on-exp-in-aws-bedrock

## About the Role

· 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

## Description

· 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.