Artificial Intelligence

• Design and build agentic workflows that automate software development lifecycle activities from code generation and review to testing and release
• Improve context-grounding systems so agents resolve the right information on the first try
• Tune model routing to match tasks with suitable models while considering cost efficiency
• Build observability and quality tooling, including dashboards, usage insights, and benchmark suites
• Establish internal benchmarks based on real-world tasks such as bug detection, review quality, and latency
• Partner with engineering teams to identify workflow friction and create automated, agent-driven capabilities
• Contribute to responsible and effective AI adoption across the organization

Senior AI SDLC Engineer

• Lead and develop a high-performing global team through hiring, coaching, performance management, succession planning, and team engagement
• Own end-to-end delivery of onboarding and enrollment AI products
• Ensure business outcomes, quality, compliance, and stakeholder commitments are achieved
• Provide operational leadership for production systems, including support, reliability, performance metrics, cost management, and continuous improvement
• Partner with the SGS counterpart to lead a unified global organization
• Align priorities, talent strategy, operating standards, and long-term capability growth
• Oversee vendor and contractor partnerships, including commercial performance, workforce planning, contract governance, and third-party risk management
• Define and advance the long-term product vision, operating model, investment strategy, and roadmap for AI-enabled onboarding and enrollment capabilities
• Serve as the primary technology leader for the value stream
• Communicate strategy, progress, risks, and outcomes to executives and business stakeholders
• Apply hands-on technical coding skills

Artificial Intelligence jobs in Oregon

Senior AI SDLC Engineer

Director, AI Delivery – Onboarding & Enrollment