Software Engineer AI Jobs in North Carolina
Software Engineer AI jobs in North Carolina are in strong and growing demand, concentrated in technology, fintech, advanced manufacturing, and research-driven industries that make the state one of the Southeast's most active markets for this role, with openings from entry-level through senior and staff positions. The heaviest hiring is in the Research Triangle area, Charlotte, and Raleigh-Durham, where employers like Red Hat, Fidelity Investments, and Lenovo have established engineering hubs. The most sought-after specialties are machine learning systems, natural language processing, and AI infrastructure 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 Software Engineer AI Jobs in North Carolina
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Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Software Engineer AI 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 software engineer AI jobs across North Carolina.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python, with hands-on experience building or deploying ML models
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud
- Strong understanding of data pipelines, model evaluation, and experiment tracking
- Ability to collaborate with cross-functional teams including data scientists and product engineers
Software Engineer AI Jobs in North Carolina: Frequently Asked Questions
How do you become a software engineer ai in North Carolina?
A bachelor's degree in computer science, data science, or a closely related field is the standard entry point for software engineer ai roles in North Carolina, and no state-issued license is required. Most North Carolina employers expect demonstrated experience with machine learning tools and applied AI projects, which candidates typically build through university programs at NC State, UNC-Chapel Hill, or Duke, followed by internships or research roles at companies in the Research Triangle or Charlotte tech corridor.
How much do software engineer AIs make in North Carolina?
Software engineer AIs 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 software engineer ais in North Carolina?
Employers hiring software engineer ais 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 fintech firms in Charlotte, enterprise software companies in the Research Triangle, and manufacturing technology operations across the Piedmont region gives this role a broad set of industries to target.
Which North Carolina cities have the most software engineer ai jobs?
Raleigh, Charlotte, and North Carolina have the most software engineer ai openings in North Carolina. Raleigh and Durham dominate because the Research Triangle anchors a dense cluster of technology companies, university spinoffs, and enterprise software employers, while Charlotte draws AI engineering roles from its large financial services and fintech sector, and cities like Cary and Morrisville add volume through established corporate campuses just outside the Triangle.
Are there remote software engineer ai jobs in North Carolina?
Yes, and more than most fields. About 89% of software engineer ai openings tied to North Carolina are remote or hybrid as of August 2026, reflecting how well-suited this work is to distributed environments. The roles most commonly offered fully remote are those focused on model development, research, and MLOps, while positions involving embedded systems or on-site infrastructure tend to require in-person presence.
How can I get hired as a software engineer ai in North Carolina with little or no experience?
The most realistic entry path is through a junior or associate AI engineer role or a machine learning internship at one of the large North Carolina employers in the Research Triangle. Companies like SAS Institute and IBM's North Carolina offices run graduate and new-hire programs that consider candidates with strong project portfolios even without prior full-time experience. Building a public GitHub portfolio with applied ML projects and completing a relevant certification in deep learning or cloud AI services gives candidates a meaningful edge when applying to these entry-level programs.
Where can I find and apply to software engineer ai jobs in North Carolina?
You can find and apply to software engineer ai jobs in North Carolina on Migrate Mate, which lists current North Carolina openings across industries and experience levels. Search the available roles, find one that fits your background and target location, and apply directly.
See All 15 Software Engineer AI Jobs in North Carolina
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