Senior AI Software Engineer Jobs in North Carolina
Senior AI Software Engineer jobs in North Carolina are among the most actively recruited technology positions in the state, concentrated in enterprise software, life sciences, financial services, and defense contracting, with demand at every level from mid-career engineers through principal-level architects. The heaviest hiring is in the Research Triangle area of Raleigh, Durham, and Chapel Hill, along with Charlotte and Cary, where established employers like Red Hat, SAS Institute, and Lenovo maintain significant engineering operations. The most in-demand specialties include large language model development, MLOps infrastructure, and AI-driven data platform engineering. Find a role that fits below and apply directly.
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ABOUT US:
Ethos Risk Services is a leading insurance claims investigation and medical management company committed to providing better data that translates into better decision-making for our clients. We are at the forefront of innovation in our space, and our success is driven by a dynamic team passionate about delivering exceptional services to our customers.
JOB SUMMARY:
Our synergetic Ethos IT Team is growing and seeking a full-time Agentic AI Software Developer (REMOTE) to architect and guide software solutions in an AI-first, spec-driven environment. This role translates business requirements into structured specifications, oversees AI-assisted development workflows, and ensures the quality, security, and performance of AI-generated code.
Our ideal candidate is a senior engineer with hands-on spec-driven development experience who has worked with agentic AI tools and AI-integrated systems. They have strong SQL experience, preferably PostgreSQL, and experience on development teams leveraging AI-assisted workflows, including reviewing and validating AI-generated code.
KEY RESPONSIBILITIES:
- Spec-Driven Development– Translate business requirements into clear, testable specifications for AI-assisted development.
- AI Workflow Orchestration – Oversee software generation using agentic AI tools, ensuring alignment with architecture.
- Code Review & Quality – Rigorously review AI-generated code for accuracy, security, and maintainability.
- Testing & Validation – Ensure outputs meet specifications through strong testing practices.
- Prompt Engineering – Develop and refine prompts, constraints, and AI workflows for better outcomes.
- Architecture & Modernization – Support scalable system design and migration from legacy environments.
- Risk & Security – Identify and mitigate risks in AI-generated code and ensure secure development practices.
- CI/CD & Automation – Contribute to pipelines with validation and quality gates for generated code.
- Mentorship & Support – Guide team members and provide production support for AI-assisted systems.
- Documentation – Maintain clear specifications, workflows, and technical documentation.
- Collaboration – Partner with stakeholders to refine requirements and solution design.
QUALIFICATIONS:
Education: Master's degree in Computer Science, Data Science or a related field (preferred). Relevant experience may be a substitute for formal education.
Experience:
- Minimum of 7 to 10 years of software development experience, primarily with C# and .NET technologies (required).
- Minimum of 5 years working with MS SQL Server and PostgreSQL (required).
- Minimum of 3 to 5 years of experience with cloud platforms, preferably in AWS (required).
- Hands-on experience with AI-assisted or spec-driven development tools (e.g., Kiro or similar) (strongly preferred).
- Proven experience reviewing and validating AI-generated code (required).
- Experience with modern front-end frameworks, preferably in React.
- Strong background in CI/CD pipelines, automation, and quality assurance.
- Demonstrated ability to lead architecture and mentor engineering teams.
Certifications:
- AI-assisted development or prompt engineering certifications (preferred).
- Microsoft, AWS, or security certifications (plus).
- Required completion of secure software development training annually, including AI-specific secure coding practices and validation techniques.
Skills:
- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch (preferred).
- Experience with MLOps, CI/CD pipelines, and infrastructure-as-code (Terraform or CloudFormation) (required).
- Strong understanding of data pipelines, model deployment, and performance monitoring (preferred).
- Ability to translate business requirements into scalable AI system designs (preferred).
- Excellent communication, stakeholder management, and problem-solving skills (required).
WORKING CONDITIONS:
This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. Communication with team members, clients, and stakeholders is expected.
Ethos Risk Services is an equal opportunity employer that does not discriminate on the basis of religious creed, sex, national origin, race, veteran status, disability, age, marital status, color or sexual orientation or any other characteristic.
See All 15 Senior AI Software Engineer Jobs in North Carolina
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Where North Carolina roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Healthcare & Medical Services
What North Carolina Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across North Carolina.
- Bachelor's or master's degree in computer science, artificial intelligence, or a related engineering field
- Demonstrated experience designing and deploying machine learning models in production environments
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms including AWS, Azure, or Google Cloud for AI workloads
- Strong background in MLOps practices including model monitoring, versioning, and CI/CD pipelines
- Ability to collaborate cross-functionally with data scientists, product managers, and platform engineers
Senior AI Software Engineer Jobs in North Carolina: Frequently Asked Questions
How do you become a senior ai software engineer in North Carolina?
Becoming a senior ai software engineer in North Carolina typically requires a bachelor's or master's degree in computer science, data science, or a closely related field, followed by several years of hands-on experience building and deploying AI systems. North Carolina does not require a state-issued license for this role. Employers in the Research Triangle and Charlotte corridors place strong weight on demonstrated production ML experience, published work, or open-source contributions alongside formal credentials.
How much do senior AI software engineers make in North Carolina?
Senior AI software engineers in North Carolina earn a median of about $134,710 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,840 for the lowest 10% to over $179,310 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in North Carolina?
Employers hiring senior ai software engineers in North Carolina right now include Wells Fargo, Cisco, and Google, based on current listings on Migrate Mate as of August 2026. North Carolina's concentration of research universities and major technology campuses, particularly around the Research Triangle Park, makes the state an ongoing destination for companies scaling AI engineering teams.
Which North Carolina cities have the most senior ai software engineer jobs?
The cities with the most senior ai software engineer openings in North Carolina are Raleigh, Charlotte, and North Carolina. The Research Triangle area anchors most of this demand, driven by the dense cluster of technology companies, life sciences firms, and research institutions in and around Raleigh, Durham, and Chapel Hill, while Charlotte generates significant openings through its large financial services and enterprise technology employers.
Are there remote senior ai software engineer jobs in North Carolina?
Yes, and more than most fields. About 89% of senior ai software engineer openings tied to North Carolina are remote or hybrid as of August 2026, reflecting how broadly AI engineering work translates to distributed teams. Model research, experimentation, and pipeline development are the parts of the role most commonly offered fully remotely, while on-site expectations tend to concentrate around collaborative sprint work and stakeholder integration.
How can I get hired as a senior ai software engineer in North Carolina with little or no experience?
The most realistic entry path is building a portfolio of end-to-end machine learning projects and targeting associate or junior AI engineer roles at North Carolina technology companies before moving into senior positions. Employers such as SAS Institute and IBM's Research Triangle Park operations have historically run new-grad and rotational programs for early-career engineers. Transitioning from a data analyst, software developer, or data engineer role is a common lateral move that opens doors, and completing a recognized graduate certificate in machine learning strengthens candidacy significantly.
Where can I find and apply to senior ai software engineer jobs in North Carolina?
You can find and apply to senior ai software engineer jobs in North Carolina on Migrate Mate, which lists current openings tied to the state. Find roles that fit your experience and apply directly to the ones that match.
See All 15 Senior AI Software Engineer Jobs in North Carolina
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