AI Engineer

Design, prototype, validate, and operationalize AI-powered solutions and agents. Develop agent-assisted workflows, automation, and reusable AI capabilities. Partner with product, architecture, engineering, and business stakeholders to align AI initiatives with portfolio priorities.

5+ years of software engineering or technical delivery experience. 2+ years of hands-on experience designing or implementing AI-enabled solutions. Experience with AI agents, GenAI applications, workflow automation, or agent-assisted development. Ability to rapidly prototype, test, and operationalize AI solutions. Strong collaboration skills with product, architecture, engineering, and business teams. Experience using enterprise-approved AI tools such as GitHub Copilot, Microsoft 365 Copilot, or similar platforms. Understanding of secure, compliant, and governed use of business applications and data. Strong communication, problem-solving, and stakeholder-management skills preferred skills and attributes for this role 7+ years of software engineering, solution architecture, or technical consulting experience. Experience deploying AI solutions in a large enterprise environment. Experience with cloud platforms, APIs, automation frameworks, data integration, or low-code/no-code AI platforms. Experience coaching engineering teams on AI adoption and best practices. Healthcare, insurance, or regulated-industry experience. Experience working with US-based leadership and distributed engineering teams.