Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.
50 open listings · Page 2 of 2
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
Comcast
DC - Washington, 1325 G ST NW STE 300 · $142,651 – $213,977
This role involves building scalable backend systems in Golang that power a multimodal ML platform handling video, image, and document processing at scale. It's ideal for a mid-level engineer comfortable with Kubernetes, AWS infrastructure, and integrating LLMs and agent frameworks into production services.
Listed on Comcast’s careers site · Apply there ↗
RingCentral
Full-time · Belmont, CA · $164,000 – $200,000
This role combines product management with hands-on engineering to design and build AI solutions for enterprise customers. It suits engineers who enjoy both architecture work and coding, and want to bridge business problems directly into production systems.
Listed on RingCentral’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 ↗
Protegrity
Menlo Park, CA · $209,100 – $234,100 · Remote
This role involves building backend systems that integrate generative AI safely into enterprise products, using Python, Kubernetes, and vector databases. It suits experienced backend engineers who want to work at the intersection of AI systems and data security infrastructure.
Listed on Protegrity’s careers site · Apply there ↗
Motional
Boston, MA · $149,000 – $198,500 · Remote
This role involves designing and maintaining scalable data infrastructure, APIs, and processing pipelines that support machine learning teams working on autonomous vehicle technology. You'll own critical backend services, mentor junior engineers, and work across teams to define technical strategy for handling massive datasets.
Listed on Motional’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 ↗
Udacity
Contract · Remote
Udacity seeks experienced AI/ML professionals to mentor learners through personalized sessions, technical deep-dives, and group Q&A as part-time independent contractors. This role suits seasoned practitioners who enjoy teaching and want to share their expertise while maintaining flexibility around other commitments.
Listed on Udacity’s careers site · Apply there ↗
Unstructured
Remote
Unstructured is seeking experienced engineers to lead the design and evolution of their data transformation platform, building distributed systems that prepare unstructured data for LLM applications at enterprise scale. This role combines deep systems architecture work with mentorship and partnerships across infrastructure and product, requiring expertise in Kubernetes, Python, and Postgres at a level where you can set technical direction for the entire company.
Listed on Unstructured’s careers site · Apply there ↗
Blumberg Portfolio
New York, NY · $188,000 – $235,000
Addepar is hiring a Senior AI Engineer to architect and ship AI-native products across their wealth management platform, focusing on LLMs, agentic systems, and production-grade infrastructure. This role suits experienced backend engineers with a passion for moving AI from prototype to scalable systems quickly.
Listed on Blumberg Portfolio’s careers site · Apply there ↗
CharacterAI
Redwood City, CA · $200,000 – $300,000 · Remote
This role involves building machine learning systems and infrastructure to power discovery, recommendation, and search features for a rapidly growing AI consumer platform. You'll work cross-functionally to implement ML models, optimize data pipelines, and deploy production systems at scale.
Listed on CharacterAI’s careers site · Apply there ↗
AlphaSense
Full-time · 2 locations · $203,000 – $304,000
AlphaSense seeks an experienced engineering leader to design and operate AI-powered distributed systems at enterprise scale, mentoring a team while establishing reliability practices and shaping the technical roadmap for their market intelligence platform.
Listed on AlphaSense’s careers site · Apply there ↗
Crusoe
Full-time · San Francisco, CA · $250,000 – $285,000
Crusoe seeks a Staff Product Security Engineer to lead offensive security initiatives and secure their AI infrastructure stack, from penetration testing and red team operations to hardening LLM pipelines and Kubernetes environments. This role suits experienced security professionals who combine deep hands-on offensive expertise with strong software engineering skills and a passion for AI/ML systems security.
Listed on Crusoe’s careers site · Apply there ↗
SAP
Full-time · Brno, CZ, 63900
This role involves architecting and leading the migration of SAP Signavio's process mining platform to SAP BTP and HANA Cloud, working with large-scale data processing systems and cloud infrastructure. It suits experienced engineers who can own complex technical transformations end-to-end while collaborating across teams to build scalable, cloud-native solutions.
Listed on SAP’s careers site · Apply there ↗
Visa Inc.
Full-time · Ashburn, VA · $110,700 – $171,800
This role involves designing and building generative AI platforms and full-stack AI applications that power Visa's global operations infrastructure. It suits engineers experienced in AI frameworks, backend development with Python, and cloud platforms who want to work on high-scale systems serving the payments industry.
Listed on Visa Inc.’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 ↗
LSEG
A senior hands-on reliability engineer will lead the establishment of SRE foundations, define observability standards, and collaborate across architecture and engineering teams to embed reliability into systems from inception. This role suits an experienced infrastructure expert comfortable with technical leadership, incident response, and mentoring while working across global teams in a financial markets organization.
Listed on LSEG’s careers site · Apply there ↗
Pinecone
2 locations · $190,000 – $270,000 · Remote
This role involves architecting and building the core retrieval and search infrastructure for an AI knowledge platform, focusing on vector databases, semantic search, and systems that connect data to LLM applications. It suits experienced backend engineers with expertise in distributed systems who understand both traditional and modern retrieval techniques and want to shape infrastructure for AI-native use cases.
Listed on Pinecone’s careers site · Apply there ↗
SAP
Full-time · 2 locations · $176,300 – $374,200
Design and deploy AI-native enterprise applications that integrate large language models, RAG, and agentic systems directly into customer environments. This role is for experienced cloud engineers comfortable owning solutions end-to-end from prototyping through production operations, working closely with customers on complex technical problems in fast-moving teams.
Listed on SAP’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 ↗
SAP
Full-time · 2 locations · $176,300 – $374,200
This is a principal-level enterprise architecture role at SAP focused on designing and leading complex AI transformation programs for large customers. The position suits senior architects with deep expertise in AI systems, cloud platforms, and SAP technologies who want to influence product strategy and mentor teams across multiple high-stakes engagements.
Listed on SAP’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 ↗
SAP
Full-time · Palo Alto, CA
This is a strategic architecture role shaping SAP's data and AI infrastructure, focused on integrating Apache Iceberg and modern data lakehouse technologies across the enterprise. It suits experienced data architects who can bridge open-source innovation with complex enterprise systems while advising C-level leadership on long-term technical direction.
Listed on SAP’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 ↗