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Autonomous Ai Jobs (NOW HIRING)

Key Responsibilities: • Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. • Build and orchestrate multi-agent workflows using modern AI ...

Job Summary We are seeking an experienced AI Architect with strong expertise in Agentic AI systems to design and implement intelligent, autonomous AI solutions capable of reasoning, planning, and ...

AI Lead/Architect

Chicago, IL · On-site

$57 - $78/hr

The role involves building autonomous AI agents, optimizing LLMs, and designing data pipelines to support AI applications. Responsibilities : • Build and orchestrate autonomous AI agents with multi ...

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

The ideal candidate will have strong expertise in autonomous AI systems, Google Cloud AI services, software development lifecycle automation, and enterprise application integration. This role will ...

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...

AI Architect

Conshohocken, PA · On-site

$62 - $81.75/hr

Job Summary We are seeking an experienced AI Architect with strong expertise in Agentic AI systems to design and implement intelligent, autonomous AI solutions capable of reasoning, planning, and ...

AI Agents and autonomous AI systems * Agent architectures and agentic workflows * Large Language Models and LLM-powered applications * Prompt Engineering and advanced prompting techniques * Retrieval ...

Agentic AI Developer

Chantilly, VA · On-site

$125 - $150/hr

Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. * Build and orchestrate multi‑agent workflows using modern AI frameworks and tooling.

Lead AI Developer

Jersey City, NJ · On-site

$61.50 - $80.75/hr

Design and orchestrate autonomous AI agents for requirements analysis, solution design, code generation, testing, documentation, CI/CD, deployment, and operations. * Define enterprise architecture ...

Senior Applied Scientist, ASCS AI Lab Team

Seattle, WA · On-site

$104K - $142K/yr

... deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as ...

Senior Applied Scientist, ASCS AI Lab Team

Seattle, WA · On-site

$104K - $142K/yr

... deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as ...

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Autonomous Ai information

See salary details

$26.5K

$119.8K

$197K

How much do autonomous ai jobs pay per year?

As of Sep 9, 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 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 are the key skills and qualifications needed to thrive as an Autonomous AI engineer?

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 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.

What do autonomous AI agents do?

Autonomous AI agents are software systems designed to perform tasks independently without human intervention. They can analyze data, make decisions, and execute actions in environments such as robotics, virtual assistants, or automated trading, often utilizing machine learning and AI algorithms to adapt and improve their performance over time.

What other helpful pages are available for Autonomous Ai?

Other pages related to Autonomous Ai:

Infographic showing various Autonomous Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $119,841 per year, or $57.6 per hour.

Autonomous AI Agent Developer

Columbia, MD • On-site

$60 - $80/hr

Other

Medical, Retirement, PTO

Posted 7 days ago


Job description

Agentic AI Developer
Who We Are:
Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow’s threats and build the next generation of capabilities.
Position Overview:
We are seeking a highly motivated and innovative Agentic AI Developer to design, develop, and
deploy autonomous AI systems capable of reasoning, planning, and executing complex tasks
with minimal human intervention. This role focuses on building intelligent AI agents and
multi-agent systems that integrate with enterprise tools, APIs, and data sources to solve
real-world operational challenges.
The ideal candidate has hands-on experience developing AI-powered applications using
modern LLM frameworks, containerized environments, and cloud-native development practices.
Key Responsibilities:
• Design and develop autonomous AI agents capable of reasoning, planning, and
executing tasks independently.
• Build and orchestrate multi-agent workflows using modern AI frameworks and tooling.
• Develop AI-enabled applications using large language models and retrieval-augmented
generation (RAG) architectures.
• Integrate AI agents with APIs, databases, enterprise systems, and external services.
• Build conversational and human-in-the-loop interfaces for AI systems.
• Develop observability, tracing, and evaluation pipelines for AI workflows and agent
performance.
• Containerize and deploy AI applications using Docker-based infrastructure.
• Collaborate with software engineers, cybersecurity teams, researchers, and
stakeholders to deliver scalable AI capabilities.
• Maintain CI/CD pipelines and source control workflows using GitLab.
• Optimize prompts, memory systems, context handling, and agent decision-making.
• Research and prototype emerging agentic AI techniques and frameworks.
Required Qualifications:
• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or
related field (or equivalent experience).
• 3+ years of software development experience.
• Strong Python development experience.
• Experience developing applications with large language models (LLMs).
• Experience building AI applications using LangChain.
• Experience with AI observability and tracing tools such as Langfuse.
• Experience developing conversational AI interfaces using Chainlit.
• Experience with containerization technologies such as Docker.
• Experience managing repositories and CI/CD workflows using GitLab.
• Familiarity with REST APIs, vector databases, and modern backend architectures.
• Strong understanding of prompt engineering, RAG pipelines, and agent orchestration
concepts.
• Strong communication and problem-solving skills
Preferred Qualifications:
• Experience designing multi-agent systems and autonomous workflows.
• Familiarity with vector databases and embedding technologies.
• Experience deploying AI services in cloud or hybrid environments.
• Knowledge of AI safety, governance, and observability best practices.
• Experience working in cybersecurity, defense, research, or mission-focused
environments.
• Active security clearance or eligibility to obtain one (if applicable)
Technical Stack:
• Python
• LangChain
• Langfuse
• Chainlit
• Docker
• GitLab
• LLM APIs and AI model providers
• REST APIs and microservices
• Vector databases and RAG architectures
Desired Traits:
• Passion for emerging AI technologies and autonomous systems.
• Ability to thrive in fast-paced, highly technical environments.
• Strong ownership mentality and willingness to prototype rapidly.
• Collaborative mindset with strong communication skills.
• Curious, adaptable, and mission-oriented
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 22, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $69,550.00 - $125,725.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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