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Autonomous Ai Jobs (NOW HIRING)

Senior AI Engineer

$107K - $146K/yr

Responsibilities : โ€ข Architect and deploy autonomous AI agents and multi-agent workflows โ€ข Design strict-source-following Retrieval-Augmented Generation (RAG) systems that minimize hallucination ...

Agentic AI Developer

Tampa, FL

$45.75 - $60.75/hr

The organisation's expertise lies in developing cutting-edge autonomous AI systems that empower healthcare payers and providers to optimise clinical, financial, and operational results. They are ...

We're proving that autonomous AI agents can deliver consistent performance across multiple asset classes. Backed by Galaxy Digital , we've built execution infrastructure that connects to major ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

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Autonomous Ai information

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$26.5K

$119.8K

$197K

How much do autonomous ai jobs pay per year?

As of Jun 10, 2026, the average yearly pay for autonomous ai in the United States is $119,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $155,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Autonomous AI Engineer, and why are they important?

To thrive as an Autonomous AI Engineer, a strong background in computer science, machine learning, and robotics, typically supported by a relevant degree, is essential. Familiarity with programming languages like Python and C++, frameworks such as TensorFlow or PyTorch, and experience with automation systems or simulation environments are typically required. Creative problem-solving, adaptability, and strong communication skills help individuals excel in collaborative and rapidly-evolving technical teams. These skills ensure the development of reliable, safe, and innovative autonomous AI solutions that meet complex real-world challenges.

What are some of the typical challenges faced when working in an Autonomous AI role, and how can job seekers prepare for them?

Professionals in Autonomous AI roles often encounter challenges related to the complexity of integrating AI systems with real-world environments. This can include ensuring safety, reliability, and scalability of algorithms when deployed in dynamic settings such as robotics or autonomous vehicles. Job seekers should be prepared to collaborate closely with cross-functional teams, including engineers, data scientists, and domain experts, and stay updated on the latest advancements in AI ethics, regulation, and technology. Proactively engaging in hands-on projects and continuous learning will help address these challenges and foster successful contributions to the field.

What is Autonomous AI?

Autonomous AI refers to artificial intelligence systems capable of making decisions and taking actions without human intervention. These systems use machine learning, perception, and reasoning to independently complete tasks in dynamic environments. Examples include self-driving cars, industrial robots, and virtual assistants that learn and adapt over time. The goal of autonomous AI is to reduce the need for manual control, increase efficiency, and improve safety in various applications.

What is the difference between Autonomous Ai vs Data Scientist?

AspectAutonomous AiData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI and machine learningDegree in statistics, computer science, or related fields; certifications in data analysis and machine learning
Work EnvironmentDeveloping and deploying AI systems, often in tech companies or research labsAnalyzing data, building models, and providing insights, mainly in corporate or research settings
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, and tech industries

While Autonomous Ai focuses on creating and managing autonomous AI systems, Data Scientists analyze data to inform decision-making. Both roles require strong technical skills and knowledge of machine learning, but their daily tasks and objectives differ significantly.

Infographic showing various Autonomous Ai job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 7% Part Time, and 27% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $119,841 per year, or $57.6 per hour.
Head of Strategic Partnerships, Autonomous AI (SF)

Head of Strategic Partnerships, Autonomous AI (SF)

Lavendo

San Francisco, CA โ€ข On-site

$220K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago


Job description

Lavendo partners with startups and highโ€‘growth companies to help them hire topโ€‘tier sales, GTM, and technical talent. This role is with one of our clients; weโ€™ll share full details about the company and interview process as we get to know you and confirm mutual fit.

About the Company

Our client is a category-defining AI company on a mission to bring full autonomy to software engineering. Their platform empowers the world's largest engineering organizations to build truly autonomous software development lifecycles โ€” where every signal an engineering system generates is intercepted by an AI agent that takes the first pass and brings it to a human. Customers include global enterprises such as Nvidia, Adobe, and Ernst & Young. The company scaled from $0 to $100M ARR in just twelve months and recently closed a $150M Series C.

The Mission

To usher in the native wave of agent-driven software development โ€” not just improving individual developer productivity, but transforming how entire engineering organizations build, maintain, and scale software.

The Opportunity

This is a high-leverage, 0-to-1 role at one of the fastest-scaling AI companies in the world. You'll architect and own the entire strategic partnerships function โ€” spanning AI labs, cloud hyperscalers, and SDLC platform partners โ€” at a pivotal inflection point. You'll report directly to a senior company leader, have a clear line to the founders, and define what world-class strategic partnerships look like in the autonomous AI era. There is no playbook. You'll write it.

What You'll Do
  • Own and architect the 90-day and 6-month partnership roadmaps across all current strategic partners

  • Identify and prioritize the next wave of partners the company should be working with

  • Build partnerships with AI model labs โ€” including for post-training, data evaluations, and collaborative research

  • Extend the product through strategic integrations across the full software development lifecycle, embodying a modular, composable product philosophy

  • Drive deep co-sell and co-build motions with cloud hyperscalers tied to enterprise modernization and migration workloads

  • Operate cross-functionally alongside product, engineering, GTM, legal, and finance to bring partner motions to life

  • Build and eventually scale a team to execute on the partnership strategy you define

What You Bring
  • 6โ€“12 years of B2B enterprise SaaS strategic partnerships experience

  • Proven ability to build partnerships from scratch at a high-growth startup or top-tier tech company (not just maintain or inherit them)

  • Named, verifiable partnerships you personally drove โ€” with measurable revenue, product, or market impact

  • Fluency across the full range of partnership types: AI lab relationships, cloud co-sell motions, and product/SDLC integrations

  • Strong cross-functional operating skills โ€” you can align product, engineering, and GTM around a shared partner vision

  • Ability and willingness to work in-office 5 days/week in San Francisco (SoMa) and travel frequently for partner meetings and events

Key Success Drivers
  • 0-to-1 instinct โ€” you're energized by ambiguity and building where nothing existed before

  • Executive presence โ€” you operate credibly at the C-suite level with AI labs, cloud providers, and Fortune 500 partners

  • Frontier curiosity โ€” you track the AI model landscape closely and see partnership opportunities before they're obvious

  • Extreme ownership โ€” you define the roadmap, you drive it, you own the outcomes

  • Speed without sacrificing depth โ€” you make fast, high-quality decisions and build durable relationships simultaneously

  • Startup metabolism โ€” you thrive in fast-moving environments and don't need a large team or established playbook to produce results

Why Join?
  • Rocketship trajectory โ€” $0 to $100M ARR in 12 months; growth continues at a rate few companies ever achieve

  • $150M Series C โ€” well-capitalized to accelerate partnerships, product, and go-to-market at scale

  • Elite enterprise customers โ€” trusted by industry leaders including Nvidia, Adobe, and Ernst & Young

  • $220Kโ€“$300K base salary plus meaningful equity; relocation support and visa sponsorship available for the right candidate

  • Define your career โ€” the team lives and breathes AI-native work; you'll use the product yourself and uplevel how partnership work gets done

  • Direct founder access โ€” small team, high trust, massive scope

  • Fully covered benefits โ€” medical, dental, and vision insurance at 100% employer cost

  • 401(k) + FSA โ€” retirement and flexible savings from day one

  • On-site perks โ€” daily catered lunches and dinners, on-site gym, and desk setup stipend

Interview Process
  • HR Screen

  • Interview with the Hiring Manager

  • Interview with an Advisor

  • On-site (Case study)

  • Offer

We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Compensation Range: $220K - $300K


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About Lavendo

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021