Sr. Al Infrastructure Engineer I (6215)

MetroStar•Washington, DC

About The Position

As Sr. Al Infrastructure Engineer I , you’ll work as part of a collaborative and high-performing team providing your expertise to deliver technical solutions within the highest levels of the federal government. We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you’ll do: Provide subject matter expertise on Al infrastructure and Al integration to the government customer. Lead the design. deployment. and maintenance of secure and scalable AI infrastructure to support the execution of Al workloads across on-premesis. hybrid. and cloud environments. Architect and manage compute platforms. storage systems. and containerized environments optimized for Al inference and data processing while ensuring system reliability, performance, and observability. Collaborate with cross-functional teams to integrate Al models. Al services. and runtime environments into operational pipelines. Establish and maintain a high level of customer trust and confidence with your knowledge and skills, and use your creativity to provide innovative solutions that fit the customer’s needs.

Requirements

An active Top Secret with SCI eligibility security clearance.
AI/ML on Kubernetes: Skilled in deploying and managing AI/ML workloads using tools like Ray, Dask, Kubeflow, KServe, MLflow.
Possess a BA/BS in a technology related discipline (i.e. IT, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering)
In leu of degree, candidate must have 8140 certification (i.e. Cloud+, GICSP, GSEC, Sec+, OR SSCP; or Requisite military training)
5 years of experience in designing, deploying, operating, and maintaining Al-related infrastructure; and an additional 5 years of experience in designing, deploying, operating, and maintaining containerized or virtualized infrastructure.
Demonstrated experience supporting projects of similar size, scope, and complexity.

Responsibilities

Provide subject matter expertise on Al infrastructure and Al integration to the government customer.
Lead the design. deployment. and maintenance of secure and scalable AI infrastructure to support the execution of Al workloads across on-premesis. hybrid. and cloud environments.
Architect and manage compute platforms. storage systems. and containerized environments optimized for Al inference and data processing while ensuring system reliability, performance, and observability.
Collaborate with cross-functional teams to integrate Al models. Al services. and runtime environments into operational pipelines.
Establish and maintain a high level of customer trust and confidence with your knowledge and skills, and use your creativity to provide innovative solutions that fit the customer’s needs.