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24 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
Replit
Full-time · Foster City, CA · $230 – $350 · Remote
This role leads AI security architecture for Replit's agent platform, designing defense systems and guardrails to safely govern autonomous AI code execution and tool use. It suits experienced security architects with deep expertise in AI/LLM threat modeling and a track record building production-grade security controls for non-deterministic systems.
Listed on Replit’s careers site · Apply there ↗
The Home Depot
Full-time · Atlanta, GA · $100,000 – $250,000 · Remote
This role designs and deploys production AI systems using large language models and agentic workflows at scale. It suits experienced machine learning engineers and software architects who want to bridge AI research with enterprise reliability and business impact.
Listed on The Home Depot’s careers site · Apply there ↗
Genesys
Full-time · $205,200 – $360,800
Build production-grade AI applications and industry solutions on the Genesys Cloud platform, combining conversational and agentic AI capabilities with enterprise integrations. This hands-on principal role is ideal for someone with deep Genesys Cloud expertise who can translate complex business processes into scalable, reusable solutions deployable across multiple customers and industries.
Listed on Genesys’s careers site · Apply there ↗
American International Group
Atlanta, GA
This role leads research and development of generative AI and agentic systems within an insurance company, building production-ready AI solutions that automate complex business processes. It suits Ph.D.-level researchers with hands-on machine learning expertise and 2+ years of industry experience who want to translate cutting-edge AI research into real-world insurance applications.
Listed on American International Group’s careers site · Apply there ↗
SAP
Full-time · YY
This role leads the design and delivery of AI-integrated solutions within SAP's enterprise platforms, working with customers to architect scalable systems on SAP BTP and related technologies. It suits experienced SAP architects with deep knowledge of both enterprise integration and generative AI who want to shape the direction of the company's AI practice and mentor others.
Listed on SAP’s careers site · Apply there ↗
Visa Inc.
Full-time · 4 locations · $123,700 – $191,300
Visa is seeking a cybersecurity engineer to build and maintain internal security platforms that help teams detect vulnerabilities and manage compliance. This role combines backend development, AI workflows, and security operations tooling, ideal for someone who wants to apply software engineering skills to enterprise security challenges.
Listed on Visa Inc.’s careers site · Apply there ↗
Accenture
Full-time
This role involves advising clients on implementing AI-powered process automation frameworks and helping them reinvent their operations through data analytics and intelligent technologies. It suits someone with strong technical foundations in SQL or Python who wants to grow in consulting while working across European client sites.
Listed on Accenture’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 expertise with backend services development for Target's Circle Card application platform. It's suited for senior engineers who want to design and deploy production AI systems while building scalable, high-performance microservices in a retail-scale environment.
Listed on Target’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 ↗
LSEG
$78,900 – $131,500
This role leads the strategy for integrating LSEG's financial data tools into AI agent frameworks and multi-step autonomous workflows across major platforms like Claude, Copilot Studio, and OpenAI. It suits someone with product management experience in APIs or developer platforms who understands agentic AI patterns and can design reliable, safe systems for enterprise financial automation.
Listed on LSEG’s careers site · Apply there ↗
CrowdStrike
Full-time · USA - Remote · $160,000 – $250,000
Build the technical foundation for CrowdStrike's AI-powered marketing platform, architecting integrations, orchestration pipelines, and user interfaces that transform how marketing teams execute campaigns at scale. This role suits full-stack engineers with deep AI and systems design experience who want greenfield ownership of a high-impact internal platform reporting to VP-level leadership.
Listed on CrowdStrike’s careers site · Apply there ↗
iHeartMedia
Full-time
Lead AI strategy and product development at a global broadcast technology company serving radio and TV stations worldwide. This role suits experienced product leaders who understand enterprise software, modern AI architectures, and can translate emerging technologies like LLMs and agentic AI into customer value across a SaaS and on-premise portfolio.
Listed on iHeartMedia’s careers site · Apply there ↗
Unstructured
Remote
This role involves designing and shipping AI systems for government clients, splitting time between building production RAG pipelines and experimenting with new models. It suits engineers who thrive moving research into deployable systems within restrictive cloud environments and working with minimal oversight on complex, ambiguous problems.
Listed on Unstructured’s careers site · Apply there ↗
SAP
Full-time · Newport Beach, CA · $131,000 – $271,600
This role leads the design and production deployment of multi-agent AI systems that automate business processes for SAP's enterprise customers. You'll architect agent orchestration, build evaluation frameworks, and mentor engineers on a global team working on specialized foundation models and autonomous workflows.
Listed on SAP’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
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
Lead the design and implementation of AI and machine learning platforms embedded in infrastructure management systems, architecting production-grade MLOps and GenAIOps solutions across cloud environments. This role suits experienced ML engineers who want to move into infrastructure automation and advisory work, combining deep technical expertise with client-facing strategy and mentorship.
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
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
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
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 ↗