Find & Apply For Artificial Intelligence Engineer Jobs in Lake Angelus, Michigan

About the

Role:

Our organization is scaling from individual AI initiatives to a durable, enterprise-grade delivery organization. We're looking for someone to lead the multidisciplinary technical team that turns AI use cases into shipped production capabilities - AI Solutions Architects, Data Engineers, Data Scientists, Agentic/Prompt Engineers, and Visualization & Full-Stack Developers. You'll build and run this department: hiring and developing the team, setting engineering standards, and making sure the handoffs between these disciplines are fast and clean rather than a source of friction. You'll work in close partnership with AI Product Management, which owns the use case roadmap and business requirements your team builds against. This is a player-coach leadership role, not a purely administrative one. You'll set technical and delivery standards, remove roadblocks, and be the person accountable when the portfolio does - or doesn't - ship on time and at quality.

What You'll Do:

Lead and grow a multidisciplinary technical team spanning Solutions Architects, Data Engineers, Data Scientists, Prompt/Agentic Engineers, and Visualization & Full-Stack DevelopersOwn end-to-end delivery accountability for the AI use case portfolio: on-time, on-quality delivery from intake through production adoptionDefine how the disciplines on your team work together - clear ownership boundaries, handoff points, and working agreements between roles that could otherwise overlap (e.g., architecture vs. engineering, data science vs. engineering)Set and enforce engineering and delivery standards: code quality, model validation rigor, architecture review, documentation, and production readiness criteriaOwn hiring, onboarding, performance management, and career development for the department; build the org structure as headcount scalesPartner closely with the AI Product Management organization, translating their roadmap and business requirements into a resourced, sequenced technical delivery planManage capacity planning and resource allocation across concurrent use cases, balancing quick wins against larger strategic buildsEnsure every use case moves through the department's governance process (risk tiering, intake, architecture review) efficiently, without becoming a bottleneck to deliveryOwn the technology and tooling strategy for the department, including the role of Microsoft Copilot / Copilot Cowork, Snowflake, and other core platforms in the team's delivery approachReport delivery performance, capacity, and portfolio health to enterprise leadership; own escalations when priorities conflict or delivery is at riskRepresent the engineering organization in cross-functional planning with legal, security, IT, and business unit stakeholders

Basic Qualifications:

Bachelor's degree in Computer Science, Engineering, or related fieldMinimum 8 years in engineering or technical leadership roles, with 3+ years directly managing engineers, data scientists, or similar technical disciplinesDemonstrated experience leading multidisciplinary technical teams (data engineering, data science, and/or software engineering) through the full build-to-production lifecycleStrong technical fluency across the AI/ML stack - enough to evaluate architecture decisions, review technical tradeoffs, and earn credibility with senior engineers, even if you're not hands-on dailyTrack record of building or significantly scaling a technical team or function, including hiring and org designExperience running delivery in a large, matrixed enterprise, balancing speed with governance, security, and risk requirementsStrong stakeholder management skills - comfortable translating between technical teams and business/executive audiences in both directionsSound judgment on prioritization and resourcing trade-offs under real capacity constraints

Preferred Qualifications:

10+ years in engineering or technical leadership roles, with 5+ years directly managing engineers, data scientists, or similar technical disciplinesAdvanced degree in Computer Science, Engineering, or a related fieldPrior automotive OEM or manufacturing enterprise experienceExperience standing up an AI or data function from early stage to scaled departmentDirect experience with Microsoft Copilot / Copilot Cowork and Snowflake in an enterprise delivery contextExperience operating within a formal AI governance framework (risk tiering, model review, responsible AI standards)About the

Role:

Our organization is scaling from individual AI initiatives to a durable, enterprise-grade delivery organization. We're looking for someone to lead the multidisciplinary technical team that turns AI use cases into shipped production capabilities - AI Solutions Architects, Data Engineers, Data Scientists, Agentic/Prompt Engineers, and Visualization & Full-Stack Developers. You'll build and run this department: hiring and developing the team, setting engineering standards, and making sure the handoffs between these disciplines are fast and clean rather than a source of friction. You'll work in close partnership with AI Product Management, which owns the use case roadmap and business requirements your team builds against. This is a player-coach leadership role, not a purely administrative one. You'll set technical and delivery standards, remove roadblocks, and be the person accountable when the portfolio does - or doesn't - ship on time and at quality.

What You'll Do:

Lead and grow a multidisciplinary technical team spanning Solutions Architects, Data Engineers, Data Scientists, Prompt/Agentic Engineers, and Visualization & Full-Stack DevelopersOwn end-to-end delivery accountability for the AI use case portfolio: on-time, on-quality delivery from intake through production adoptionDefine how the disciplines on your team work together... For full info follow application link. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.