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11 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
Sigma Computing
Internship · 2 locations · $80 – $90 / hour
Join Sigma's AI/ML team as a PhD intern to conduct original research on search, recommendations, NLP, and agentic systems while building production-grade AI infrastructure for their cloud data platform. This role bridges cutting-edge research with real-world impact, letting you ship AI systems used by thousands of enterprises.
Listed on Sigma Computing’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $270,000 – $365,000
Anthropic seeks an engineer with deep technical expertise and teaching experience to lead hands-on instruction for their AI development programs, spending roughly half the time delivering live technical courses and half developing other instructors and improving teaching standards across the organization. This role suits someone who codes fluently, debugs systems under pressure, and has the rare ability to both teach complex concepts clearly and coach other teachers to improve.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Vanta
Remote U.S. · $176,000 – $207,000
This role designs and builds the workflow systems that help Vanta's engineering, product, and design teams operate effectively, using Jira and AI automation as the foundation. It suits someone who ships working solutions quickly, understands root causes of delivery problems, and can drive adoption through persuasion and well-designed tools rather than formal authority.
Listed on Vanta’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 ↗
Comcast
VA - Virtual - D+ · $167,384 – $251,076
This role leads the design and development of AI-powered product capabilities at FreeWheel, building agentic workflows and intelligent automation systems that help teams across the company make better decisions and automate work. It suits experienced software engineers with strong production AI/ML backgrounds who want to drive product innovation and mentor others while working on large-scale distributed systems.
Listed on Comcast’s careers site · Apply there ↗
LSEG
New York, NY · $126,900 – $211,500
Lead product strategy and delivery for AI applications serving financial markets professionals, combining deep understanding of how intelligence works with proven ability to ship commercial products. This role suits people with research or academic grounding in AI, cognitive science, or related fields who have moved into building real-world products and want to apply that foundation at the intersection of AI and finance.
Listed on LSEG’s careers site · Apply there ↗
Temporal
Full-time · San Francisco, CA · $260,000 – $325,000
A senior practitioner role building trust and influence for Temporal in the AI engineering community through technical content, conference speaking, and ecosystem partnerships. This suits experienced AI engineers who've shipped production systems and have an established voice or following in the field.
Listed on Temporal’s careers site · Apply there ↗
Ando
San Francisco, CA
Ando is building a next-generation messaging platform that integrates AI agents as first-class participants alongside humans. This founding engineer role involves architecting core infrastructure, developer platforms, and memory systems while working on a product designed to reach hundreds of thousands of users.
Listed on Ando’s careers site · Apply there ↗
Accenture
This role embeds engineers directly with enterprise clients to design, deploy, and scale AI systems from concept through production using platforms like Claude, GPT, and Azure OpenAI. It suits engineers who thrive in hands-on delivery, want to own outcomes end-to-end, and are energized by working across ambiguous problems in large organizations.
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 ↗