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Kforce Inc
AI Engineer
On-site
Chantilly, VA, United States
Full-time
$125,000 -
$150,000
About AI Engineer
Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
About the Role
Kforce has a client that is seeking an AI Engineer in Chantilly, VA.
Qualifications
B.S. in Computer Science, Engineering, Mathematics, or a related discipline.
Equivalent experience may be accepted in lieu of formal education.
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.
Equivalent experience may be accepted in lieu of formal education.
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.
Responsibilities
AI Engineer will 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.
As an AI Engineer, you will build portable AI pipelines with containerization to ensure future-proof deployments and migration flexibility.
Integrate security and compliance controls into all phases of development (DevSecOps), code scans, dependency management, vulnerability assessment, etc.
Use Infrastructure as Code (IaC) tools to provision, configure, and maintain cloud resources.
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.
As an AI Engineer, you will build portable AI pipelines with containerization to ensure future-proof deployments and migration flexibility.
Integrate security and compliance controls into all phases of development (DevSecOps), code scans, dependency management, vulnerability assessment, etc.
Use Infrastructure as Code (IaC) tools to provision, configure, and maintain cloud resources.
Benefits
We offer comprehensive benefits including: medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD 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.
