AI Engineer

This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

• Design, train, fine‑tune, and deploy AI/ML models (LLMs, embeddings, classification models, RAG pipelines)
• Build secure, scalable APIs and services to integrate AI capabilities into business systems
• Design and implement agentic AI workflows that coordinate multiple models or services to achieve mission objectives
• Integrate retrieval‑augmented generation (RAG) and agentic reasoning into production environments
• Implement and maintain automated CI/CD pipelines for model development, testing, deployment, and rollback
• Design and implement containerized applications and services that can be deployed across multiple cloud environments
• Build portable AI pipelines with containerization to ensure future‑proof deployments and migration flexibility
• Integrate security and compliance controls into all phases of development (Dev Sec Ops ), including code scans, dependency management, vulnerability assessment, etc.
• Use Infrastructure as Code (IaC) tools to provision, configure, and maintain cloud resources

• B.S. in Computer Science, Engineering, Mathematics, or related discipline (or equivalent experience)
• Active CompTIA Security+ certification
• Microsoft Certified:
  Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or similar AI certification
• Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & AD&D insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology
• IT Services and IT Consulting

This positioned role utilizes AI and machine learning to develop secure, scalable solutions for business. The role is eligible for benefits and requires a strong background in AI engineering and development.