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63 open listings · Page 3 of 3
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
LangChain
Los Angeles, CA · $170,000 – $190,000 · Remote
LangChain is hiring a Solutions Architect to help enterprise customers design and deploy production AI infrastructure and agent systems, combining hands-on infrastructure engineering with AI development work. The role suits someone with deep Kubernetes and cloud platform experience who also knows LLM frameworks like LangChain, can assess customer technical needs, and enjoys working across infrastructure and AI engineering domains.
Listed on LangChain’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 ↗
Boeing
Full-time · USA - Tukwila, WA · $130,900 – $218,500
Boeing is looking for a DevSecOps engineer to design and maintain secure development environments and software factories for the E-7A Air Force program, supporting teams building and deploying applications across AWS and disconnected systems. This role suits experienced engineers comfortable with Kubernetes, Linux administration, cloud infrastructure, and providing technical leadership in a defense contracting environment.
Listed on Boeing’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
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
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
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 ↗
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 ↗