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19 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
Intuit
Mountain View, CA · $244,000 – $330,000
Lead a team of Forward Deployed Engineers shipping AI automation into customer finance systems, balancing hands-on technical work with executive-level customer engagement and team development. This role suits experienced solutions or field engineers ready to move into people management while staying deeply technical.
Listed on Intuit’s careers site · Apply there ↗
Rula
Full-time · Remote - United States · $282,000 – $370,650
This role leads the design and deployment of AI and machine learning systems that power patient-provider matching and personalization across a mental healthcare platform. It suits experienced ML engineers who want to apply their expertise to high-stakes healthcare problems, shipping production systems that directly improve access to care.
Listed on Rula’s careers site · Apply there ↗
Bristol Myers Squibb
Full-time · Princeton, NJ · $81,260 – $98,468
This role develops and integrates AI-powered features into Veeva CRM systems for a life sciences company, working with large language models and machine learning workflows to enhance field representative tools and dashboards. It suits mid-to-senior engineers with hands-on CRM platform experience who want to apply AI capabilities to enterprise healthcare applications.
Listed on Bristol Myers Squibb’s careers site · Apply there ↗
State Street Corporation
Full-time · $90,000 – $157,500
This role combines hands-on platform engineering with technical leadership of generative AI initiatives at a major financial services firm. You'll design and deploy AI-powered automation solutions across the enterprise, working with data scientists and business stakeholders to drive transformational projects from architecture through production.
Listed on State Street Corporation’s careers site · Apply there ↗
Accenture
Full-time
This role develops AI-powered business transformation solutions for enterprise clients, combining artificial intelligence with industry expertise across the full software development lifecycle from requirements through operations. It suits engineers with system integration experience who want to work on large-scale projects using generative AI while building skills in modern cloud and data technologies.
Listed on Accenture’s careers site · Apply there ↗
Zillow
Full-time · Remote-USA · $194,200 – $326,600
This role leads the development of AI agent systems at Zillow, building multimodal technologies that power autonomous assistants for real estate. You'll prototype and deploy advanced reasoning models, mentor other engineers, and drive innovation in agentic AI while shipping to millions of users.
Listed on Zillow’s careers site · Apply there ↗
Mastercard
Full-time · O Fallon, MO · $140,000 – $231,000
This is a management role overseeing AI quality and testing for Mastercard's generative AI and LLM systems, suited to engineers with deep expertise in production AI evaluation frameworks and the ability to lead testing strategy across complex AI workstreams.
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 ↗
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 ↗
Expedia Group
Full-time · Austin, TX · $146,000 – $204,500
Expedia's payments team needs a senior backend engineer to design fraud-defense systems using AI agents and LLMs, operating cloud-native services that process over $100 billion annually across 155 countries. This role suits experienced systems builders who can architect agentic workflows, mentor others, and bridge AI-accelerated development with production reliability at scale.
Listed on Expedia Group’s careers site · Apply there ↗
Metropolis Technologies
Full-time · 3 locations · $170,000 – $200,000
Metropolis is hiring a Senior AI Engineer to work across business units, translating operational challenges into AI-first solutions and owning systems from prompt design through production deployment. This role suits builders who excel at stakeholder communication and want to directly impact business operations by building and shipping AI applications rapidly.
Listed on Metropolis Technologies’s careers site · Apply there ↗
Accenture
This role involves designing and delivering AI-powered business transformation solutions for enterprise clients, spanning from initial requirements through system development, migration, and operations. It suits experienced systems engineers and architects who want to lead large-scale projects and mentor teams while working with cutting-edge generative AI technologies.
Listed on Accenture’s careers site · Apply there ↗
Intuit
Mountain View, CA · $202,500 – $274,000
Staff-level engineer building risk and compliance systems for Intuit's fintech platform, combining front-end and back-end development with AI/ML capabilities. Suits architects with deep experience across React, Java, Spring Boot, and financial services who can lead technical strategy and mentor others.
Listed on Intuit’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 ↗
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 ↗
Accenture
€32,000 – €54,900
A production engineer who embeds with enterprise clients to deploy AI platforms at scale, owning business outcomes like time-to-value and adoption. This suits experienced engineers who can translate complex AI architectures into measurable business impact and work directly with senior stakeholders in real-world deployment environments.
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
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 ↗