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Full Time Ai Automation Jobs (NOW HIRING)

Agilent

$168K - $315K/yr

We're looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD's AI ... The full-time equivalent pay range for this position is $168,160.00 - $315,300.00/yr plus ...

Axos Bank

JBATA - AI Automation Developer

San Diego, CA · On-site

$30/hr

This full-time Development Rotational Program is geared toward providing multi-software platform ... exposure to AI-driven automation. For this position, you will be in the Developer Rotational ...

Axos Bank

JBATA - AI Automation Developer

San Diego, CA · On-site

$30/hr

This full-time Development Rotational Program is geared toward providing multi-software platform ... exposure to AI-driven automation. For this position, you will be in the Developer Rotational ...

The Cary Company

AI / Automation Intern

Addison, IL · On-site

$18 - $20/hr

Onsite - Addison, IL $18-$20/hr | Full-time | 10-12 weeks We're looking for a hands-on intern who can help our team build practical AI and automation tools that save time across the company. You'll ...

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How much do full time ai automation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time ai automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

Is full time AI automation a good career?

Full time AI automation is a growing field with high demand for skills in machine learning, programming, and data analysis. It offers opportunities in various industries such as technology, finance, and healthcare, often requiring knowledge of tools like Python, TensorFlow, or automation platforms. The role typically involves continuous learning and adapting to new AI advancements, making it a promising career choice for those interested in technology and innovation.

What are the key skills and qualifications needed to thrive as an AI automation specialist?

To thrive as an AI Automation Specialist, you need strong programming skills (such as Python), a solid understanding of machine learning principles, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), automation tools (such as UiPath or Automation Anywhere), and cloud platforms is typically required, along with certifications in these technologies. Problem-solving abilities, attention to detail, and effective communication are crucial soft skills that help manage complex projects and collaborate across teams. These skills and qualities are important to design, implement, and maintain robust AI-driven automation solutions that drive efficiency and innovation for organizations.

What is a full time AI automation job?

A Full Time AI Automation job involves working with artificial intelligence (AI) systems to automate tasks and processes within an organization. Professionals in this role design, develop, and maintain AI-driven solutions that can handle repetitive or complex tasks with minimal human intervention. This could include automating data analysis, customer service, business workflows, or manufacturing processes. Full-time positions typically require expertise in programming, machine learning, and understanding of automation tools. These roles are in high demand as companies look to improve efficiency and reduce costs through technology.

What are some common challenges faced by professionals in full time AI automation roles, and how can they be overcome?

Professionals in full-time AI automation roles often encounter challenges such as integrating new AI solutions with legacy systems, managing data quality, and keeping up with rapidly evolving technologies. Effective communication with cross-functional teams is crucial to ensure that automation aligns with business objectives and addresses real-world problems. Staying proactive through continuous learning, collaborating closely with IT and business stakeholders, and utilizing agile methodologies can help overcome these challenges and drive successful automation projects.
More about Full Time Ai Automation jobs
What cities are hiring for Full Time Ai Automation jobs? Cities with the most Full Time Ai Automation job openings:
What are the most commonly searched types of Ai Automation jobs? The most popular types of Ai Automation jobs are:
What states have the most Full Time Ai Automation jobs? States with the most job openings for Full Time Ai Automation jobs include:
What job categories do people searching Full Time Ai Automation jobs look for? The top searched job categories for Full Time Ai Automation jobs are:
Full Time Ai Automation jobs near you
Infographic showing various Full Time Ai Automation job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

Lead, AI Engineering & SDLC Automation

Agilent

Santa Clara, CA • On-site, Remote

$168K - $315K/yr

Full-time

Re-posted 13 days ago

Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

88th of 537 rated manufacturers

Job description

Job Description

We're looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD's AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team responsible for delivering AI-assisted engineering capabilities, agentic workflow automation, and SDLC automation that meaningfully improve developer productivity and software delivery across the Productivity Solutions Division.

You will own the selection, integration, governance, and adoption of AI-enabled engineering tools and automation within developer workflows, partnering across DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to scale safe, reliable, and measurable AI-enabled software delivery practices.

Impact

Your leadership will help PSD accelerate software delivery by embedding AI-powered automation into the core of engineering workflows. You will improve developer productivity, reduce manual toil, increase consistency across the SDLC, and help teams adopt AI-enabled practices safely, reliably, and at scale.

What You'll Do

  • Lead and develop the AI Engineering & Automation team responsible for AI-assisted SDLC automation, developer workflow integration, and engineering productivity tooling.

  • Define team priorities, resource needs, operating cadence, performance expectations, and execution plans.

  • Own the roadmap for AI-enabled engineering automation across PSD, from tool selection and integration to adoption, measurement, and continuous improvement.

  • Deliver AI-assisted engineering tools, agentic workflows, copilots, and workflow automation with measurable productivity uplift.

  • Integrate AI automation into CI/CD pipelines, developer paved roads, engineering workflows, and platform services.

  • Establish governance, safety guardrails, evaluation criteria, usage standards, and secure integration patterns for responsible AI adoption in engineering workflows.

  • Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation into software delivery practices.

  • Prioritize AI automation investments based on productivity uplift, developer experience, quality, reliability, security, cost, and platform strategy.

  • Drive cross-organization adoption through enablement, documentation, training, feedback loops, and measurable adoption plans.

  • Resolve conflicting priorities across engineering productivity, security, reliability, cost, and responsible AI adoption.

  • Define and track success measures for AI-enabled engineering automation, including productivity, adoption, toil reduction, quality, reliability, and developer experience.

Qualifications

What You Bring

  • Typically 5+ years of experience formally or informally leading people, projects, and/or programs.

  • Bachelor's or Master's degree or equivalent experience.

  • Strong background in AI-enabled engineering, platform engineering, DevOps, developer productivity, workflow automation, or SDLC automation.

  • Experience leading teams, programs, or cross-functional initiatives in complex software engineering environments.

  • Experience translating organizational strategy into roadmaps, execution plans, governance models, and measurable outcomes.

  • Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation, or agentic workflow automation.

  • Strong understanding of CI/CD, SDLC tooling, developer workflows, engineering productivity tooling, and secure integration patterns.

  • Understanding of responsible AI adoption, AI governance, usage controls, safety guardrails, and secure deployment patterns.

  • Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform organizations.

  • Experience driving adoption, enablement, and behavior change across distributed engineering teams.

  • Ability to balance speed, productivity, quality, reliability, security, cost, and responsible AI use.

  • Strong analytical and communication skills, with the ability to translate productivity and adoption insights into practical roadmap decisions.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least August 11, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $168,160.00 - $315,300.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: R&D

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