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7 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
CNA Financial
2 locations · $97,000 – $189,000
A senior technical leadership role building AI-native development infrastructure and platforms that enable engineering teams to integrate AI tools like Claude and Copilot into their software delivery workflows. This suits experienced engineers who want to shape AI engineering practices across a large organization while mentoring others and operating at the intersection of AI systems, developer experience, and enterprise security.
Listed on CNA Financial’s careers site · Apply there ↗
Target
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · $98,000 – $176,000
This role combines AI engineering with backend services development, building intelligent systems for Target's financial platform. It suits engineers comfortable designing production AI applications alongside distributed systems who want to influence architecture and mentor others.
Listed on Target’s careers site · Apply there ↗
Accenture
This role embeds an engineer directly in client enterprises to architect, deploy, and scale AI systems that deliver measurable business outcomes. It suits experienced software leaders who can navigate complex organizational environments, translate executive strategy into production AI capabilities, and own accountability for adoption and ROI across entire accounts.
Listed on Accenture’s careers site · Apply there ↗
Udacity
Contract · Remote
Udacity seeks experienced AI engineers to mentor learners in a Nanodegree program focused on Claude, agentic AI systems, and prompt engineering. This is a flexible, part-time contractor role ideal for practitioners who want to share expertise while earning additional income alongside existing work.
Listed on Udacity’s careers site · Apply there ↗
Accenture
This role embeds engineers directly with enterprise clients to design, deploy, and scale AI systems from concept through production using platforms like Claude, GPT, and Azure OpenAI. It suits engineers who thrive in hands-on delivery, want to own outcomes end-to-end, and are energized by working across ambiguous problems in large organizations.
Listed on Accenture’s careers site · Apply there ↗
Accenture
A senior engineer who embeds within enterprise clients to lead AI platform deployments end-to-end, owning business outcomes like adoption and time-to-value rather than just delivery milestones. This role suits experienced cloud engineers with a track record of shipping production AI systems and leading teams through complex, ambiguous client environments.
Listed on Accenture’s careers site · Apply there ↗
Accenture
A production engineer who embeds directly within enterprise clients to deploy, scale, and operationalize AI systems in real business environments, owning measurable outcomes from prototype to production. Suits experienced engineers comfortable with ambiguity, client-facing work, and translating technical architecture into business value across the full technology stack.
Listed on Accenture’s careers site · Apply there ↗