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14 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
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 ↗
Topline Pro
Full-time · Boston, MA
This role involves building AI agents and chat capabilities to help small service businesses manage operations, focusing on production deployment and scaling of LLM-powered features. It suits engineers with hands-on experience in RAG systems, LLM APIs, and MLOps who want to directly impact a growing product at a well-funded startup.
Listed on Topline Pro’s careers site · Apply there ↗
Evertune
Full-time · New York, NY · $120,000 – $300,000 · Remote
Evertune is hiring a senior backend engineer to design and operate the scalable distributed systems powering their AI marketing discovery platform, with responsibility spanning cloud infrastructure, API integrations with LLM providers, and mentoring junior engineers as a foundational member of their Seattle and New York-based team.
Listed on Evertune’s careers site · Apply there ↗
Accenture
Full-time
This role involves designing and deploying AI agent systems to production, bridging the gap between customer experience strategy and technical implementation. It suits engineers with hands-on AI and agentic framework experience who can think about user experience while shipping production systems.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You will architect and deploy multi-agent AI systems in production enterprise environments, working directly with client engineering teams and setting standards for RAG pipelines, LLM integration, and observability across the practice. This role combines senior technical leadership with hands-on ownership of agentic systems that run inside real organizations, not prototypes.
Listed on Accenture’s careers site · Apply there ↗
Accenture
€28,500 – €54,900
You'll design and deploy production agentic AI systems for enterprise clients, owning the full stack from multi-agent orchestration and RAG pipelines to LLMOps and observability. This role suits engineers with shipped production AI systems who understand the difference between demos and systems that run reliably at scale.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You will design and deploy production agentic AI systems for enterprise clients, working across the full stack from multi-agent orchestration to RAG pipelines and LLMOps. This role is for engineers with proven shipping experience in production AI systems, not just prototyping, who can architect solutions that integrate multiple LLM providers and scale beyond individual engagements.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You'll architect and deploy multi-agent AI systems that solve real problems in enterprise environments, moving beyond prototypes to production systems that clients depend on. This role demands hands-on experience shipping agentic systems and mastery of the full stack—from LLM integration and RAG pipelines to observability and cost management—working directly with client engineering teams to build patterns that scale across engagements.
Listed on Accenture’s careers site · Apply there ↗
Accenture
Build and scale production multi-agent AI systems for enterprise clients, architecting end-to-end agentic architectures from design through operations. This role suits engineers who have shipped real AI systems into production and want to work across diverse industries and technology stacks, rather than staying within a single product company.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You'll design and deploy production-grade AI agent systems for enterprise clients at scale, moving beyond prototypes to systems running real business operations. This role suits experienced AI engineers who have shipped multi-agent systems in production and want to scale patterns across an organization with access to major AI vendors and a pathway into specialized technical leadership.
Listed on Accenture’s careers site · Apply there ↗
Accenture
This role builds production-grade AI agent systems for enterprise clients, not prototypes—you'll design multi-agent orchestration, RAG pipelines, and LLMOps infrastructure that runs at scale inside real organizations. It suits engineers who have shipped agentic systems to production and understand the operational realities of AI in live environments.
Listed on Accenture’s careers site · Apply there ↗
Accenture
This role combines deep AI engineering expertise with client-facing technical leadership at an enterprise services firm specializing in agent-powered systems. You'll architect production agentic solutions, set multi-LLM integration standards across engagements, and mentor engineering teams while working directly with Fortune 500 clients to deploy AI workflows at scale.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You'll architect and deploy production-grade multi-agent AI systems for enterprise clients across the full technology stack, combining agentic system design with LLMOps at scale. This role suits experienced AI engineers who have shipped production agentic systems, managed eval frameworks, and can lead complex client engagements while establishing reusable patterns across the practice.
Listed on Accenture’s careers site · Apply there ↗
Accenture
You'll design and deploy production agentic AI systems for enterprise clients across industries, owning the full stack from multi-agent orchestration through RAG pipelines to LLMOps in production. This role demands hands-on experience shipping real multi-agent systems in production, not prototypes—you'll embed with client teams, build reusable patterns, and work with the latest LLM APIs and frameworks at scale.
Listed on Accenture’s careers site · Apply there ↗