230 ai deployment engineer jobs at 128 companies in Mountain View, CA
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AI Deployment Engineer, Cyber
San Francisco, California, United States
OnsiteFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
5+ YOE5+ years in technical consulting, solutions engineering, security architecture or deployment engineering; deep cybersecurity domain expertise; hands-on experience with APIs, Python or JavaScript, agents, CI/CD and prototype-to-production deployments; strong communication.
OpenAI Foundation: A nonprofit organization funding research to ensure AI benefits humanity.
5+ YOE5+ years software engineering experience; strong coding in Python, Java, C++, TypeScript/JavaScript; experience with AI/LLM tools, prototyping, system design, and cross‑stakeholder communication.
Chicago or Austin or San Francisco or New York City or Seattle or London
$132k-$166k/yrHybridFull Time
Writer: Platform for building and deploying enterprise generative AI agents.
5+ YOE5+ years in technical SaaS roles (3+ years in solutions architecture/consulting), deep Python and API experience, enterprise deployments for Fortune 500 customers, strong communication and executive presence.
Hippocratic AI: Develops safety-focused generative AI for autonomous clinical healthcare conversations.
0+ YOEBachelor's in engineering/CS from a top university, 0–2+ years software engineering experience with production AI deployments, experience with LLMs/RAG, Python, cloud (AWS/GCP/Azure), EHR/FHIR/HL7 integrations, strong communication skills.
LLMs, RAG, Python, APIs, AWS, GCP, Azure, FHIR, HL7, EHR
Uniphore: Develops an AI cloud platform for enterprise customer engagement.
6+ YOEDegree in CS/Data Science,6+ years engineering experience (2+ in customer-facing roles),proven AI/ML production deployments,full-stack and DevOps skills,knowledge of LLMs,RAG,vector DBs and agent orchestration.
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering or computer science degree, 2+ years in technical client-facing/implementation roles, experience in data modeling and AI/ML, proficiency with formulas and structured modeling, programming (Python/SQL), and APIs/data pipelines.
Sonatus: Develops software platforms for AI-enabled software-defined vehicles.
10+ YOE10+ years ML engineering with 3+ years in Edge AI/embedded systems, Bachelor’s in CS/EE/Software Engineering, expert Python, C++14/17, PyTorch/TensorFlow, edge deployment and model optimization experience.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree in CS/AI/EE/CE plus 6+ years (or Master’s plus 4+) developing AI/ML, strong programming in Python/Go/Scala/Java, cloud AI deployment experience, and ability to lead engineering teams.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years building production-grade generative AI/LLM systems, multi-agent orchestration with LangGraph, RAG, Python backend development, and AI governance for enterprise deployments.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)
Brooklyn Park or Sunnyvale
$132k-$286k/yrHybridFull Time
TargetNYSE: TGT: General merchandise retailer operating physical stores and e-commerce.
5+ YOEDegree in quantitative field or equivalent experience,5+ years applied ML/AI experience,experience with LLMs,agentic systems,model deployment,software engineering practices and strong communication.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
8+ YOE8+ years applied ML/AI engineering; 3+ years delivering production AI systems; MS in CS/Robotics/EE or related; PhD preferred; strong multimodal/3D vision and deployable inference pipelines; strong Python and ML library skills.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
10+ YOEExtensive AI/ML leadership with deep learning, NLP, LLMs, large-scale model development and production deployment; strong communication and mentorship skills.
H2O.ai: Provides open-source machine learning and predictive analytics for enterprises
8+ YOE8+ years AI/ML engineering experience, enterprise delivery leadership, LLM and agentic AI experience, strong Python and ML framework skills, cloud and Kubernetes deployment experience.
Fireworks AI: Provides high-performance generative AI model inference and deployment infrastructure.
5+ YOE5+ years in customer-facing technical engineering roles, strong Python and Kubernetes skills, experience with LLM inference, model serving and fine-tuning, cloud GPU deployment across major clouds, and exceptional communication.
Python, Kubernetes, vLLM, SGLang, TensorRT-LLM, AWS, Microsoft Azure, GCP, Azure AI Foundry, AWS Bedrock, SageMaker, GCP Vertex
Agilent TechnologiesNew York Stock Exchange: A: Providing instruments, software, and consumables for laboratory scientific discovery.
8+ YOEFull‑stack engineering experience building LLM applications, agents, RAG, evaluation, observability, and production deployment; familiarity with MCP/A2A patterns; ability to operate under regulated constraints; typically 8+ years experience.
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
5+ YOE5+ years in engineering/data roles with 2+ years deploying GenAI/LLMs, strong Python skills, experience with LangChain/LlamaIndex/AutoGen, cloud AI services and vector databases, and production deployment experience.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
5+ YOEMaster's+3yrs or Bachelor's+5yrs in engineering fields; 5+ years networking for accelerator systems, Ethernet and RDMA fabrics; experience with AI/HPC/cloud deployments; security screening required.
3+ YOE3-6 years technical experience across software development, data engineering, and DevOps; production AI deployment experience; proficiency in Python; experience with data pipelines, APIs, cloud platforms, and CI/CD.