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Artificial Intelligence Software Engineer Jobs in Bend, OR

Serán BioScience

Quality Assurance Engineer

Bend, OR · On-site

... learn new software and systems Education and Experience * Bachelor's degree in a science ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Meta

Lead Building Engineer

Prineville, OR

$104K/yr

As a Lead Building Engineer, you will provide senior-level technical leadership across mechanical ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

AAON, Inc.

Strategic Innovation Engineer

Redmond, OR · On-site

Identify potential acquisition targets for complimentary technology and intellectual property ... Proficiency in 3D CAD software (e.g., SolidWorks, Creo) and engineering analysis tools * Strong ...

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Showing results 21-40

All JobsArtificial Intelligence Software Engineer JobsArtificial Intelligence Software Engineer Jobs in Bend, OR

Artificial Intelligence Software Engineer information

See Bend, OR salary details

$67K

$155.6K

$216.8K

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

As of Aug 18, 2026, the average yearly pay for artificial intelligence software engineer in Bend, OR is $155,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $182,500.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an artificial intelligence software engineer?

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.

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 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.

What are popular job titles related to Artificial Intelligence Software Engineer jobs in Bend, OR?

For Artificial Intelligence Software Engineer jobs in Bend, OR, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Software Engineer jobs in Bend, OR look for?

The top searched job categories for Artificial Intelligence Software Engineer jobs in Bend, OR are:

Artificial Intelligence Software Engineer jobs near you
Infographic showing various Artificial Intelligence Software Engineer job openings in Bend, OR as of August 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 100% In-person job distribution, with an average salary of $155,637 per year, or $74.8 per hour.

Quality Assurance Engineer

Serán BioScience

Bend, OR

Full-time

Re-posted 10 days ago

Job description

Serán BioScience is expanding and looking for a Quality Assurance Engineer with industry experience to join at this exciting time. The QA Engineer will be part of a cross functional team that will be responsible for the review and/or approval of qualification/validation of all the lifecycle activities associated with facilities, utilities, equipment, process, cleaning, and computerized systems. The focus of this position will be to support the Commercial Manufacturing Facility that is currently underway.
 
The development and execution of these deliverables requires direct communication with internal and external cross functional teams. Successful candidates will understand that effective communication is essential for alignment on strategies and approaches, and correcting deficiencies while maintaining good working relationships. Qualified candidates will have a thorough understanding of current regulations and guidelines such as but not limited to 21 CFR Parts 11, 210, and 211, EudraLex Volume 4, Annex 15, and GAMP 5 is required.
Duties and Responsibilities
  • Generates and/or supports the generation of risk assessments, user requirements specifications (URS), C&Q plans, change controls, SOPs, CAPAs, and other relevant documents
  • Supports validation lifecycle activities such as, but not limited to, change management, periodic reviews, and re-qualification to ensure that qualified systems remain in their validated state
  • Makes compliance decisions to support commercial operations
  • Mentors colleagues on the reasons or justifications of the requirements and practices
  • Drives process improvement initiatives
  • Provides support during clients and regulatory audits
  • Performs other related duties as assigned
  • Responsibilities may increase in scope to align with company initiatives
Required Skills and Abilities
  • Understanding of current regulations and guidelines (e.g., 21 CFR Parts 11, 210, and 211, EudraLex Volume 4 - Annex 15, GAMP 5, etc.) and how to apply them to support the validation effort
  • Technical writing skills to effectively develop procedures, discrepancies, change controls, CAPAs and associated documents needed to support the validation effort
  • Hands-on experience with the qualification of facilities, utilities, equipment and/or computerized systems, cleaning or process validation (Experience in at least two of these areas is required)
  • Ability to manage multiple projects, create and work within internal timeliness, solve problems, deliver on commitments, and utilize interpersonal skills in a cross-functional team
  • Strong time-management skills and the ability to organize and coordinate multiple projects at a time
  • Communicates effectively and maintains productive relationships with coworkers, clients, and other contacts outside the Company
  • Ability to prioritize tasks and to keep leadership apprised of performance to timelines
  • Accepts feedback from a variety of sources and constructively manages conflict
  • Experience in Oral Solid Dose operations and spray drying is preferable
  • Proficiency in enterprise systems, Microsoft Office, and other office productivity tools, with aptitude to learn new software and systems
Education and Experience
  • Bachelor’s degree in a science, engineering, or related field
  • Minimum of 4 years required within pharmaceutical industry, with preference given to those with 5-10 years of experience
  • Minimum of 4 years of experience performing qualifications and/or validations is required 
Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer
  • Prolonged periods of mobility between offices and campus buildings
  • Adheres to consistent and predictable in-person attendance
Visit https://www.seranbio.com/careers to learn more about company culture and the community of Bend, Oregon.
 
Level and compensation will be based on experience.
 
Applicants must be authorized to work for an employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
 
Benefits Summary:
Serán employees accrue over four weeks of paid time off annually. Employer contributions to a retirement account begin after 90 days and do not require an employee match or vesting period. Various health plans allow employees to find the best coverage for their individual or family needs with minimal employee contributions. Serán covers each employee with basic life and long-term disability, giving access to increase or add coverage. An Employee Assistance Program provides support for all things related to our employees’ wellbeing, along with access to pet insurance.
 
The Corporate Headquarters of Serán BioScience are located at 63047 Layton Ave, Bend, OR 97701

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.