Top Artificial Intelligence Jobs in Ann Arbor, MI

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The Senior FP&A Analyst will partner with various teams to manage GTM P&Ls, build financial models, lead planning, and analyze data to support business decisions.

Lead Abridge's federal policy and advocacy efforts in Washington, DC: develop policy positions, manage external lobbyists, build coalitions and relationships with Congress and federal agencies, monitor AI and healthcare legislation, and align policy strategy with product and commercial teams.

The Account Executive will support the sales cycle in the Startup Segment, develop expertise in security compliance frameworks, and engage with prospects to solve compliance challenges.

The Customer Engineer will provide technical expertise during sales, ensure efficient customer onboarding, support incident planning, and represent TENEX at industry events while developing cloud security knowledge.

Staff Frontend Software Engineers at Sirona build user-facing applications, leading teams to improve radiology workflows through technology and innovative solutions.

Lead and manage the core engineering team for Family History Trees, delivering high-throughput, scalable, near-zero-downtime systems. Collaborate with product, design, QA, DBAs, and operations; architect, implement, deploy, and document services; mentor and recruit talent; establish quality metrics and remove project blockers.

You will generate pipeline for the NORAM market by engaging decision-makers at fintechs and banks through cold calls and personalized outreach.

Drive end-to-end enterprise deployments of Synthflow's no-code voice AI platform: design solutions, build integrations with CRMs/telephony, troubleshoot production issues, optimize adoption, and translate customer needs into product improvements.

Act as the technical partner to Enterprise AEs to qualify opportunities, design end-to-end telephony and integration architectures, deliver tailored demos and POCs, address security and integration questions, produce technical proposal documentation, and feed product insights to Engineering and Product.

Lead the development of new product ideas and growth features in offensive cybersecurity. Collaborate with UX research and engineering to create intuitive user experiences for AI-driven products.