Lead AI Solutions Architect; Lead AI Engineer

We’re always looking for diverse, talented, service-oriented people to join our exceptional team.

Lead AI Solutions Architect (Lead AI Engineer)
The pay range for this position is listed below. Our pay ranges are built to allow for candidates with various levels of skill and experience to be considered, as well as for room for growth and tenure achieved in a role over time. Typical new hire salary offers fall within the minimum to midpoint of a pay range for many candidates.

Any offer extended to a candidate will be based upon their unique set of knowledge, skills, education, and experience as well as internal equity.

Pay Range:$ - $Scheduled Weekly

Hours:

40

What You’ll Be Doing Leads the design, delivery and continuous improvement of complex AI, automation and agentic solutions by establishing technical standards, driving enterprise integrations, guiding implementation through production deployment and mentoring teams to advance engineering quality, scalability and business value.

Leads the design, development, integration, testing, deployment and operation of complex AI-enabled workflows and solutions, agents and shared platform capabilities.

Owns technical delivery for AI and automation initiatives from proof of concept through production deployment and ongoing support.

Creates reusable reference implementations, components and engineering patterns for knowledge assistants, retrieval-augmented generation (RAG) solutions, agents, tool and API integrations, human-in-the-loop controls and citizen developer capabilities.

Defines the role of stand-alone and embedded RPA workflows and AI agents within the enterprise architecture and guides engineers in designing secure, scalable and maintainable solutions.

Leads integrations across enterprise applications, data services, APIs and approved AI and orchestration platforms.

Establishes and enhances engineering practices for version control, CI/CD, evaluation frameworks, regression testing and release management across AI, agent and workflow solutions.

Defines and validates nonfunctional requirements, including reliability, scalability, performance, observability, auditability and supportability.

Implements approved data access, identity, least-privilege and governance controls in partnership with Architecture, Information Security and Data teams.

Leads technical design, code, testing and production-readiness reviews, resolving complex implementation issues and providing escalation support.

Establishes monitoring, logging, alerting, operational dashboards, runbooks and incident response procedures to improve platform performance, resiliency and supportability.

Evaluates AI, automation and agentic technologies through technical proofs of value and provides recommendations on platform, vendor and solution approaches. Provide thought leadership regarding emerging AI, automation and digital transformation technologies.

Mentors engineers, coordinates delivery across teams and promotes reusable engineering practices that improve solution quality, consistency and delivery effectiveness.

Additional Job Functions Performs other duties as assigned

Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions.

Qualifications High School Diploma or GED required

Bachelor's Degree in a related field or equivalent years of experience required7-10 years of prior relevant experience required

Microsoft Certified:
Azure AI Apps and Agents Developer Associate (AI-103) preferred

Microsoft Certified:
Machine Learning Operations Engineer Associate (AI-300) preferred

Microsoft Certified: AI Agent Builder…