Senior AI/ML Developer (AWS Bedrock and Agentic Systems)

About the role

A senior-level engineer who thinks natively in agentic design, prompt engineering, and tool-enabled LLM workflows. Equally comfortable discussing system design with engineers and explaining AI decisions to compliance or risk stakeholders. Experienced delivering AI solutions in regulated environments and keenly aware of the difference between demos and durable deployments. Collaborative, adaptable, and energized by working onsite with client teams to solve complex, real-world problems. Passionate about scaling AI responsibly, with a strong appreciation for governance, security, and operational rigor.

Responsibilities

• Serve as the primary technical lead for designing and building production-grade agentic workflows using AWS Bedrock and Claude Sonnet
• Embed directly within client agile teams, participating in sprint ceremonies, standups, and day-to-day delivery activities
• Design, implement, and deploy agentic systems leveraging tool use, multi-step reasoning, and orchestration patterns
• Build document extraction and validation solutions for high-volume financial operations, with mortgage insurance validation as an initial use case
• Develop human-in-the-loop (HITL) controls, exception handling, and escalation logic to support secure and explainable AI outcomes
• Evaluate orchestration approaches, including AWS AgentCore versus custom workflows, to meet enterprise-specific needs
• Implement guardrails, prompt hardening, and model risk controls aligned with regulatory expectations (e.g., SR 11-7) and client AI governance frameworks
• Collaborate closely with architecture, security, compliance, and business stakeholders to ensure solutions are production-ready and audit-ready
• Contribute to broader AI capability building by sharing best practices, patterns, and lessons learned across teams

Requirements

Education & Experience:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required; advanced degree preferred
• 7+ years of professional software development experience, with 3+ years building and deploying AI/ML solutions in production
• Hands-on experience with AWS Bedrock or equivalent enterprise LLM platforms
• Demonstrated expertise building agentic systems, including tool use, multi-step reasoning, and agent orchestration (beyond basic RAG or chatbot implementations)
• Strong command of AWS-native architecture and services such as Lambda, Step Functions, API Gateway, IAM, and VPC
• Prior experience in banking, insurance, or other regulated financial services environments strongly preferred
• Working knowledge of AI governance concepts, including model risk management, auditability, decision logging, and controls

Qualifications

None specified

Skills

None specified

Benefits

Comprehensive and well-rounded benefits package for full-time employees, including health coverage, wellness programs, 401K company match, self-managed PTO, and other unique incentives that celebrate your accomplishments.

Pay

TBD

Schedule

3–4 days per week in Omaha, NE. If nonlocal candidate must be willing to travel.