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Computer Science Engineering Jobs in Alaska (NOW HIRING)

Workiva

$40/hr

Implement developer tools or product features under the direction of a senior developer ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

Workiva

$40/hr

Implement developer tools or product features under the direction of a senior developer ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

Workiva

$40/hr

Implement developer tools or product features under the direction of a senior developer ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

U.S. Navy

Engineering Duty Officer

Juneau, AK · On-site

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval Construction and Engineering * Nuclear Engineering QUALIFICATIONS AND REQUIREMENTS * Bachelor's degree * U.S ...

U.S. Navy

Engineering Duty Officer

Fairbanks, AK

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval Construction and Engineering * Nuclear Engineering QUALIFICATIONS AND REQUIREMENTS * Bachelor's degree * U.S ...

U.S. Navy

Engineering Duty Officer

Anchorage, AK

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval Construction and Engineering * Nuclear Engineering QUALIFICATIONS AND REQUIREMENTS * Bachelor's degree * U.S ...

U.S. Navy

Engineering Duty Officer

Anchorage, AK · On-site

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval Construction and Engineering * Nuclear Engineering QUALIFICATIONS AND REQUIREMENTS * Bachelor's degree * U.S ...

U.S. Navy

Engineering Duty Officer

Juneau, AK

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval Construction and Engineering * Nuclear Engineering QUALIFICATIONS AND REQUIREMENTS * Bachelor's degree * U.S ...

U.S. Navy

Engineering Duty Officer

Fairbanks, AK · On-site

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval Construction and Engineering * Nuclear Engineering QUALIFICATIONS AND REQUIREMENTS * Bachelor's degree * U.S ...

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Showing results 21-40

All JobsComputer Science Engineering JobsComputer Science Engineering Jobs in Alaska

Computer Science Engineering information

See Alaska salary details

$52.2K

$130.9K

$148.1K

How much do computer science engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer science engineering in Alaska is $130,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What is computer science engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What are the key skills and qualifications needed to thrive as a computer science engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.

What are some common challenges faced by computer science engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and computer hardware, often collaborating in teams and using tools like integrated development environments (IDEs). Their roles can include software development, system analysis, cybersecurity, and technical support.

What are popular job titles related to Computer Science Engineering jobs in Alaska?

For Computer Science Engineering jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Computer Science Engineering jobs in Alaska look for?

The top searched job categories for Computer Science Engineering jobs in Alaska are:

Computer Science Engineering jobs near you
Infographic showing various Computer Science Engineering job openings in Alaska as of September 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $130,865 per year, or $62.9 per hour.

Generative AI Automation Engineer - Remote Job

Fairbanks, AK • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply