1,000+ matching jobs for “Senior AI Engineer”

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Adobe

Senior Machine Learning Engineer

San Jose, California, United States

Full time
Regular

Pay posted by employer$151,800–$265,350 per year

… . 5+ years of experience building and deploying production ML systems, with demonstrated work on models and AI-powered applications that serve real users at scale. Strong software engineering fundamentals: proficiency …

Added Oct 27, 2026

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Workday

Senior Software Development Engineer

San Francisco, California, United States

Flex
Full time

… pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their …

Added Oct 27, 2026

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Ingram Micro Holding

Sr. Engineer, Software Development

Mumbai, Maharashtra, India

We are seeking an experienced and highly skilled Senior Java Developer to design, develop, and maintain scalable, high-performance enterprise applications. The …

Added Nov 6, 2026

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Nvidia

Senior SOC Design Engineer

Santa Clara, California, United States

NVIDIA is looking for a Senior SOC Design Engineer to join our SOC Design team! At NVIDIA, you'll collaborate with brilliant minds to …

Added Oct 27, 2026

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Walmart

Senior, Software Engineer

Dallas, Texas, United States

Pay posted by employer$90,000–$180,000 per year

... Walmart-VIZIO’s Technology – Software and Services division is seeking a Senior Software Engineer with expertise in video, audio and graphics pipeline to join their growing team. A …

Added Oct 27, 2026

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Danaher

Senior Mechanical Engineer

San Jose, California, United States

Regular

Pay posted by employer$116,000–$150,000 per year

… discovery for life science customers in academia, biotech, pharma, and government. Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain deep insights, accelerating …

Added Oct 15, 2026

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Danaher

Sr. Electrical Engineer

San Jose, California, United States

Regular

Added Oct 15, 2026

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Nvidia

Senior Digital Design Engineer

Santa Clara, California, United States +2 locations

We are looking for a Senior Digital Design Engineer to join our Semi-Custom Silicon products group. In this role, you will join a group …

Added Oct 31, 2026

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Hewlett Packard Enterprise

Data scientist - Agentic AI

San Jose, California, United States

Pay posted by employer$155,500–$315,000 USD per year

Data Scientist – Agentic AI The Data Scientist – Agentic AI builds and operationalizes the core agentic workflows that power Marvis, …

Added Nov 3, 2026

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Cisco Systems

Senior Software Engineer

Milpitas, California, United States

Pay posted by employer$167,700–$245,200

… Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans …

Added Oct 27, 2026

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Pfizer

Automation Senior Engineer

Rocky Mount, North Carolina, United States

Full time
Regular

… Practices (GMP) Ability to train others effectively Strong problem-solving skills Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving …

Added Oct 16, 2026

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Capital One Financial

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)

San Jose, California, United States +4 locations

… team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of …

Added Oct 27, 2026

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Amgen

Sr Associate Software Engineer

India - Hyderabad 3 postings

Level 4 Sr Associate Software Engineer: Role Description: The Software Engineer is responsible for designing, developing, and maintaining software …

Added Oct 18, 2026

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CDW

Senior Network Security Engineer

Washington D.C. - VA

Not Remote
Regular

Pay posted by employer$140,000–$155,000

include providing senior engineering analyses, design, testing, integration, and Level 3 operations for the House wide-area …

Added Nov 3, 2026

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Palo Alto Networks

Sr. Software Engineer

Office - USA - CA - Headquarters

Your Career We are looking for a Backend Engineer to join Global Infra TEAM. The group develops and maintains the backend of Global Infra Platform & Cortex …

Added Oct 27, 2026

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Cisco Systems

AI CX Solutions Consultant - 5+yrs - AI tools, Python/Node.js

Bengaluru, Karnataka, India +2 locations

… REST APIs, webhooks, JSON, authentication, and enterprise platforms. Configure and develop conversational AI and workflow experiences using Webex AI capabilities and Webex AI Agent Studio. Connect AI experiences to …

Added Oct 27, 2026

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Booz Allen Hamilton

Artificial Intelligence Engineer, Senior

El Segundo, California, United States

Pay posted by employer$99,000–$225,000

Artificial Intelligence Engineer, Senior The Opportunity: Great AI solutions start with understanding the problem—then designing so met hing …

Added Oct 27, 2026

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S&P Global

Senior Machine Learning Engineer

Hyderabad, Telangana, India +1 location

Full time

Grade Level (for internal use): 03 Who We Are- Kensho is S&P Global’s hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and …

Added Oct 27, 2026

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Mastercard

Senior Software Engineer

O'Fallon, Missouri, United States

Pay posted by employer$115,000–$184,000 USD

… services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Job Overview: Responsible for the analysis, design, development, testing, and delivery of …

Added Oct 27, 2026

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Nvidia

Senior Verification Engineer, SoC

Santa Clara, California, United States +4 locations

NVIDIA is seeking an exceptional Senior SoC ASIC Verification Engineer to confirm the functionality of the world’s most powerful AI-enabled SoCs. …

Added Oct 27, 2026

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Adobe

Senior Machine Learning Engineer

San Jose, California, United States

Full time
Regular

Pay posted by employer$151,800–$265,350 per year

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Core Requirements · employer excerpt

Ph.D. or M.S. in Computer Science or related field required.
5+ years of experience building and deploying production ML systems, with demonstrated work on models and AI-powered applications that serve real users at scale.
Strong software engineering fundamentals: proficiency in Python and/or Java, experience designing APIs and microservices, and comfort owning production systems end-to-end (deployment, monitoring, incident response).
Deep hands-on experience with at least one modern deep learning framework (PyTorch, TensorFlow, JAX).
Production experience with LLMs: prompt/context engineering, working with LLM APIs, fine-tuning, or building LLM-powered applications.

9 more in the full description below.

About this opportunity

Original employer description

Senior Machine Learning Engineer

Agent Platform — Adobe Experience Platform

THE OPPORTUNITY

Build the Agent Platform That Powers Enterprise AI

Adobe Experience Platform powers personalized experiences for the world's largest brands. Our AI team is building a production-grade platform for autonomous AI agents — not a wrapper around an LLM API, but a full agent runtime with sub-second orchestration, tool and skill layers spanning thousands of endpoints, long-term memory, sandboxed execution, and a multi-tenant Agent-Ops stack, all runtime-swappable across providers.

We're hiring Senior ML Engineers to own major components end-to-end. You'll work at the intersection of applied ML and systems engineering, and your decisions will shape a system that serves Fortune 500 marketing teams.

Multiple roles, one team: The team is growing fast to match the scale of what we’re building — we’re actively hiring multiple Senior ML Engineers across the focus areas described below. We’ll match your strengths to the right domain during the interview process.

WHAT YOU’LL DO

Your Impact

You'll spend most of your time building platform infrastructure, with regular exposure to customer needs that shapes what you build.

Build core agent infrastructure. Own major components of the platform — the agent runtime, tool execution layer, memory systems, sandboxed execution, or control plane — and ship production-ready code against real constraints: sub-second orchestration latency, cost-aware model routing, and high-throughput inference pipelines.

Design ML workflows at enterprise scale. Build the systems for model customization, serving, and lifecycle management that let the platform adapt to diverse customer workloads.

Innovate, don't just build. You'll have room to explore new approaches to agent reasoning, tool orchestration, memory, or evaluation — and carry the best ideas from experiment to production. We value engineers who push the platform forward with original thinking, not just execute on a spec.

Close the loop with customers. Join regular customer engagements to see how your systems perform in real deployments, then feed those insights back into the platform roadmap. This isn't a customer-facing role, but your work is directly shaped by the people who use it.

Own what you ship. Architecture through production operations — deployment, monitoring, observability, and incident response. No throwing code over the wall.

Example Focus Areas

Most engineers go deep in one or two areas while collaborating across the broader platform:

Agent runtime and orchestration

Tool execution infrastructure

Retrieval, memory, and context systems

Evaluation, observability, and agent quality

Sandboxed execution and security

Fine-tuning, serving, and model lifecycle infrastructure

WHAT YOU BRING

Core Requirements

Ph.D. or M.S. in Computer Science or related field required.

5+ years of experience building and deploying production ML systems, with demonstrated work on models and AI-powered applications that serve real users at scale.

Strong software engineering fundamentals: proficiency in Python and/or Java, experience designing APIs and microservices, and comfort owning production systems end-to-end (deployment, monitoring, incident response).

Deep hands-on experience with at least one modern deep learning framework (PyTorch, TensorFlow, JAX).

Production experience with LLMs: prompt/context engineering, working with LLM APIs, fine-tuning, or building LLM-powered applications.

Experience with cloud platforms (AWS or Azure) and data infrastructure (Postgres, Redis, Elasticsearch, Snowflake, or similar).

Self-motivated with strong communication skills and the ability to influence technical decisions in a collaborative, multi-functional environment.

What Sets You Apart

You don't need all of these — depth in one or two is what matters. We'll match you to the domain where your experience has the most impact.

Agent or LLM infrastructure depth. You've built agent loops, tool-use orchestration, RAG pipelines, long-term memory systems, or fine-tuning/serving infrastructure — not as a prototype, but in production systems handling real traffic.

Platform-scale systems thinking. You've designed catalog systems, plugin architectures, or intent routing that work across hundreds or thousands of endpoints, and you've dealt with the messy reality of overlap resolution, versioning, and cost-aware routing at that scale.

ML-Ops or Agent-Ops experience. You've built eval frameworks, execution tracing, drift detection, guardrails, or HITL intervention systems — the operational backbone that makes autonomous AI trustworthy in production.
Builder who innovates. You don't just implement — you've prototyped novel approaches, run experiments, and improved systems in ways that weren't on the original roadmap. Publications or open-source contributions are a plus, not a requirement.

Multiplier instincts. You've mentored engineers, shaped a team's technical roadmap, or built internal tools and practices that made the people around you more effective.

LEARN MORE ABOUT OUR TEAM

Explore our research, blog posts, and product work:

Team page: https://business.adobe.com/resources/adobe-experience-platform-ai.html

Blog: “Show, Don’t Tell: Multimodal Answers with AI Assistant”

Blog: “Raising the Bar for AI Assistant in Adobe Experience Platform”

Blog: “AI Assistant Evaluation and Continual Improvement”

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 - $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $183,300 - $265,350


At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Why this result? · Employer labels

Keywords also found in description

Engineering
Full time
Regular

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.