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5 open listings
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Beckman Coulter
Full-time · Remote · $185,000 – $200,000
This role designs and deploys AI solutions for legal and compliance work across a large biotechnology company, bridging software engineering and legal operations. It suits engineers with production AI experience who want to apply machine learning to enterprise legal problems and can translate between technical and non-technical stakeholders.
Listed on Beckman Coulter’s careers site · Apply there ↗
Accenture
Accenture is hiring a manager to lead AI and generative AI initiatives across retail operations, designing machine learning solutions for merchandising, pricing, and customer engagement. The role suits experienced AI practitioners with retail domain knowledge who can translate technical capabilities into business strategy and lead cross-functional teams.
Listed on Accenture’s careers site · Apply there ↗
Mastercard
Full-time · O Fallon, MO · $140,000 – $231,000
This is a management role overseeing AI quality and testing for Mastercard's generative AI and LLM systems, suited to engineers with deep expertise in production AI evaluation frameworks and the ability to lead testing strategy across complex AI workstreams.
Listed on Mastercard’s careers site · Apply there ↗
LSEG
This role leads a team of data scientists and machine learning engineers building AI-powered products for financial markets, combining technical expertise with people leadership to deliver production-grade solutions. It suits experienced engineering managers comfortable with both hands-on AI development and strategic team building in a fast-moving AI organization.
Listed on LSEG’s careers site · Apply there ↗
Mastercard
Full-time · O Fallon, MO · $115,000 – $184,000
This role leads the design and deployment of large language model systems, agents, and retrieval-augmented generation pipelines at enterprise scale. It suits experienced ML engineers who have built production generative AI applications and want to architect next-generation AI systems within a global fintech organization.
Listed on Mastercard’s careers site · Apply there ↗