Top Artificial Intelligence Jobs in Ann Arbor, MI

The Customer Success Manager will manage customer relationships, drive retention, enhance engagement, and ensure effective onboarding of PagerDuty solutions post-sale.

As a Senior Systems Engineer, you will architect and optimize high-performance components for data processing, ensuring reliability and low latency while mentoring team members and participating in code reviews.

As a Senior Systems Engineer, you'll design high-performance data management systems, optimize for scalability, solve distributed challenges, and collaborate with the team to maintain code quality. Requires strong backend development and systems programming expertise, particularly in Rust.

The Senior Systems Engineer will architect and implement high-performance data plane components, optimize systems for scale, and lead initiatives in distributed systems. Responsibilities include writing production-grade code, mentoring team members, and communicating technical decisions effectively.

Lead the global pre-sales organization, drive revenue and scale value consulting, champion AI integration, enhance customer experiences, and manage cross-functional collaborations.

The Product Engineer role involves owning the complete product lifecycle, building features end-to-end across frontend and backend, driving product decisions, and creating scalable systems using modern AI tools. A focus on user experience and speed of delivery is essential.

As a Patient Engagement Specialist I, you'll handle outbound calls to patients, educate them about services, and book appointments using communication skills and software tools.

As a Strategic Accounts Customer Success Manager, you will drive customer satisfaction for major clients, manage renewals and upsells, and collaborate internally to enhance product usage and improve customer experience.

The Head of Product Management will lead product strategy and development, focusing on customer needs and internal alignment, while driving revenue growth and team performance across markets.

The Senior Full-Stack Developer will design, build, and maintain AIO Logic's cloud-based AXIS platform, utilizing React and Java/Spring Boot to deliver software solutions for complex financial workflows, collaborating with cross-functional teams, and mentoring junior developers.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

As a FinOps Analyst, monitor client transactions, handle inquiries, and improve operational efficiency using Zendesk. Collaborate with teams to optimize workflows and manage liquidity.