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35 open listings · Page 2 of 2
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
Levi Strauss & Co.
Full-time
You'll lead the design and implementation of Levi's enterprise DevOps infrastructure, integrating AI-powered tools and CI/CD automation to accelerate developer productivity across the organization. This role suits experienced DevOps engineers who are passionate about modernizing development platforms and mentoring teams on emerging practices like AIOps and intelligent deployment strategies.
Listed on Levi Strauss & Co.’s careers site · Apply there ↗
F5
$166,100 – $249,100
F5 is seeking a Senior Software Engineer to design and deploy autonomous AI agents that accelerate threat research and security analysis by integrating external data sources like CVE feeds and vulnerability databases with internal F5 telemetry. The role combines cutting-edge agentic AI development with technical marketing enablement, creating intelligent tools that turn security research into customer-facing demos, dashboards, and technical content.
Listed on F5’s careers site · Apply there ↗
Intuit
4 locations · $194,000 – $262,500
Intuit seeks a Staff Data Scientist to develop and deploy GenAI solutions that measure and optimize customer success across the company. The role combines NLP, LLM engineering, and unstructured data analysis to drive product strategy and customer experience improvements, suited to someone with deep expertise in both machine learning and generative AI systems.
Listed on Intuit’s careers site · Apply there ↗
Rula
Full-time · Remote - United States · $208,000 – $260,000
A Staff-level AI engineer position leading applied AI product development at a remote-first mental healthcare company. This role suits engineers with deep production ML experience who want to own technical direction across multiple AI initiatives and help scale systems in a regulated healthcare environment.
Listed on Rula’s careers site · Apply there ↗
Accenture
A senior technical leadership role guiding enterprise-scale AI system delivery for customer service platforms, spanning architecture, team leadership, and client advisory work. Suited to experienced production AI engineers who have shipped agentic systems to regulated environments and can mentor teams while advising C-suite stakeholders.
Listed on Accenture’s careers site · Apply there ↗
Accenture
This is an AI engineering role at Accenture focused on designing and deploying intelligent agent systems for enterprise clients. It suits engineers with strong cloud-native and backend fundamentals who want to combine hands-on development with consulting, using LLMs and AI tools as core parts of the delivery process.
Listed on Accenture’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 ↗
Accenture
Design and deploy multi-agent AI systems in production for enterprise clients across diverse technology stacks, working alongside client engineering teams to build scalable agentic architectures that go far beyond prototypes. This role suits engineers who have shipped production agentic systems and understand the operational realities of AI agents in live environments.
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 ↗