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Artificial Intelligence Software Engineer Jobs in Alaska

Director of Enterprise Systems

Homer, AK

$111K - $138K/yr

... expertise in DevOps methodologies, infrastructure automation, and modern software development ... artificial intelligence and machine learning capabilities * Lead and mentor teams of platform ...

New

... Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems, or distributed software architecture. 3-5+ years designing and ...

VP AI Engineering

Minto, AK · On-site

$186K - $240K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related field; advanced degree preferred. 10+ years of experience in software engineering ...

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Showing results 1-20

Artificial Intelligence Software Engineer information

See Alaska salary details

$68.4K

$158.9K

$221.3K

How much do artificial intelligence software engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for artificial intelligence software engineer in Alaska is $158,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $186,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Software Engineer, and why are they important?

To thrive as an Artificial Intelligence Software Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python or Java, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Strong problem-solving skills, creativity, and effective communication help set top performers apart in this role. These competencies are crucial for designing innovative AI solutions, collaborating with teams, and ensuring successful deployment in real-world applications.

What does an Artificial Intelligence Software Engineer do?

An Artificial Intelligence Software Engineer designs, develops, and implements software systems that use AI techniques such as machine learning, deep learning, and natural language processing. They work with large datasets, build and train models, and integrate AI capabilities into applications to solve complex problems. Their responsibilities often include collaborating with data scientists, optimizing algorithms, and ensuring the scalability and efficiency of AI solutions.

What is the difference between Artificial Intelligence Software Engineer vs Data Scientist?

AspectArtificial Intelligence Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; programming skillsBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and software applicationsAnalyzes data, builds models, and interprets insights
Employer & Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonFocuses on AI development and software engineeringFocuses on data analysis and statistical modeling

While both roles require programming skills and a background in data or AI, Artificial Intelligence Software Engineers primarily develop AI algorithms and software applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different core functions within tech and data-driven organizations.

How does an Artificial Intelligence Software Engineer typically collaborate with data scientists and product teams?

Artificial Intelligence Software Engineers frequently work alongside data scientists to translate complex models and algorithms into scalable, production-ready code. They also collaborate closely with product managers and UX teams to ensure AI solutions align with user needs and business objectives. Effective communication and a strong understanding of both software engineering and data science principles are essential, as these engineers often serve as a bridge between technical and non-technical stakeholders throughout the project lifecycle.
What job categories do people searching Artificial Intelligence Software Engineer jobs in Alaska look for? The top searched job categories for Artificial Intelligence Software Engineer jobs in Alaska are:
Infographic showing various Artificial Intelligence Software Engineer job openings in Alaska as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,875 per year, or $76.4 per hour.

Lead Information Technology Specialist (Software Engineer)

Criminal Investigation & Law Enforcement | IRS Careers

Anchorage, AK

$125K/yr

Other

Posted 4 days ago


Job description

WHAT IS THE INFORMATION TECHNOLOGY DIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Tax Processing - Information Technology.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
Minimum requirements for Grade 12 and UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.
Specialized Experience GS-14 Level: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service, specialized experience includes:

  • Leading or coordinating IT projects, application-related efforts, operational initiatives, or system-related activities that affect multiple users, teams, programs, or business processes.
  • Applying advanced IT principles, concepts, methods, and practices to evaluate requirements; resolve technical issues; guide system, application, or code testing and configuration decisions; and ensure technical documentation and federal cybersecurity, privacy, or regulatory requirements are addressed.
  • Engaging customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or improvement efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists on the selection, design, configuration, implementation, or improvement of IT solutions with organizational impact.
  • Applying advanced software engineering principles, methods and practices to design, develop, modernize, integrate, test or maintain software applications and systems to analyze and resolve technical issues and improve IT systems and processes.
  • Providing technical leadership by mentoring, coaching the team, developing and interpreting organizational policies and procedures, providing guidance or recommendations on software engineering and systems. integration, application modernization, cybersecurity or IT service delivery initiatives.
  • Leading, developing and delivering IT projects or initiatives by planning, monitoring and identifying resource requirements and reporting project status to upper management and/or executives.
  • Applying systems development life cycles (SDLC), Agile, DevOps or CI/CD automation, logging or monitoring practices to improve software delivery, operational performance or system reliability.
  • Evaluating and implementing emerging technologies, including cloud-based architecture, containerization, infrastructure-as-code, and Artificial Intelligence (AI) assisted development tomodernize legacy mainframe applications to modern architecture and design patterns.
  • Analyzing and resolving IT software engineering technical issues and evaluating or implementing improvements to software applications, enterprise systems, development processes or IT operations.
  • Developing, integrating or supporting front-end, back-end, API, cloud-based, or enterprise application solutions using programming languages, frameworks and development tools.
  • Performing detailed code reviews and ensure adherence to security, maintainability, and accessibility standards.
  • Applying project management principles, methods, and practices including developing plans and schedules, estimating resource requirements and training requirements to support organizational performance.
  • Communicating technical information, recommendations or project updates to upper management/executives, stakeholder or technical teams through oral and written communication.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.


For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER