Senior AI​/ML Developer; AWS Bedrock and Agentic Systems

Job Level: W2T Consultant

Job Location: Hybrid/Onsite (3-4 days/week in Omaha, NE, must be a local candidate)

Travel Expectations: None

Job Classification: Temporary (W2T), Contractor (1099)

Senior AI/ML Developer to serve as a hands‑on technical leader embedded within a client’s delivery teams as part of a strategic enterprise AI transformation. Combining deep engineering execution with AI‑forward thinking, the role helps scale successful pilots into secure, governed, production‑grade agentic systems. Work onsite alongside client sprint teams in Omaha to build internal AI capability while delivering high‑impact solutions in a regulated financial services environment.

• Serve as 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, stand‑ups, and day‑to‑day delivery activities.
• Design, implement, and deploy agentic systems leveraging tool use, multi‑step reasoning, and orchestration patterns.
• Develop document extraction and validation solutions for high‑volume financial operations, with mortgage insurance validation as an initial use case.
• Build human‑in‑the‑loop (HITL) controls, exception handling, and escalation logic to support secure and explainable AI outcomes.
• Evaluate orchestration approaches, including AWS Agent Core 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.

• 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.

• 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.

• Competitive compensation and comprehensive benefits package for full‑time employees including health coverage, wellness programs, 401(k) company match, self‑managed PTO, and other incentives.
• Remote and Hybrid Work flexibility.
• Time off when you need it.
• Benefits that flex.
• Professional development opportunities.

We are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.

Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process.