AI Tech Lead/Senior AI Engineer
Listed on 2026-07-02
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Software Development
AI Engineer (Applied/Software)
Title: AI Tech Lead / Senior AI Engineer
Location: Chicago, Illinois
Work Arrangement: Hybrid (3 Days Onsite) or Remote
Employment Type: Full-Time, Contract-to-Hire (W-2)
Work Authorization: U.S. Citizen or Green Card Holder
Role OverviewClient is building the next generation of enterprise AI engineering capabilities and is seeking experienced AI Tech Leads and Senior AI Engineers who thrive at the intersection of innovation, software engineering, and client delivery. This is a highly visible, hands‑on role responsible for helping enterprise clients transform how software is designed, developed, tested, deployed, and supported using Artificial Intelligence. The successful candidate will work directly with client executives, architects, and engineering teams to build production‑ready AI solutions that deliver measurable business outcomes.
Rather than simply advising on AI strategy, this individual will lead by building, mentoring, and executing alongside delivery teams while establishing Client as a trusted AI transformation partner.
Join one of Clients fastest‑growing practices and help define how enterprise organizations adopt AI as a core engineering capability. Your work will influence how global organizations modernize software delivery, automate engineering processes, and accelerate innovation.
GrowthThis role provides the opportunity to work across multiple industries while building reusable AI engineering solutions that become part of Clients enterprise AI portfolio. You will help shape technical standards, influence client strategy, and collaborate with some of the industry’s leading AI practitioners.
MotivatorsThis position is ideal for engineers who enjoy solving complex technical problems, building production‑quality AI applications, working directly with enterprise clients, and demonstrating measurable business value through hands‑on execution rather than PowerPoint presentations.
Objectives1. Deliver Enterprise AI Solutions That Produce Measurable Business Results
Within the first six months, lead the design, development, testing, deployment, and operational support of production‑ready AI solutions that improve software engineering productivity, automate manual processes, accelerate go‑to‑market initiatives, and enhance operational performance. Partner directly with client stakeholders to ensure every solution delivers measurable business value through increased efficiency, reduced delivery time, improved quality, or lower operating costs. Success will be measured by successful production deployments, client adoption, engineering productivity improvements, and documented business outcomes.
2.Transform the Software Development Lifecycle Through AI
Lead the integration of AI throughout the complete software development lifecycle, identifying opportunities where AI can improve solution design, software development, code quality, testing, deployment, monitoring, incident response, documentation, and production support. Build reusable frameworks that enable engineering teams to consistently deliver higher‑quality software faster and more efficiently. Success will be measured through measurable reductions in development cycle time, increased automation, improved engineering quality, and expanded adoption of AI engineering practices.
3.Build Trusted Executive Relationships While Leading Technical Delivery
Serve as the primary technical advisor during client engagements by facilitating discovery workshops, translating business challenges into scalable AI solutions, leading technical delivery teams, and communicating effectively with both engineering organizations and executive stakeholders. Establish Client as a trusted partner capable of delivering enterprise AI transformation through execution, innovation, and measurable business impact. Success will be measured through client satisfaction, repeat business, executive confidence, and successful project delivery.
4.Expand Client Enterprise AI Practice
Create reusable architectures, engineering accelerators, implementation patterns, reference solutions, and client success stories that strengthen Client AI…
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