Today
Top Secret
Unspecified
Unspecified
IT - Software
Washington, DC (On-Site/Office)
We are seeking a highly skilled, self-motivated, and resourceful AI Systems Engineer to spearhead the design and deployment of AI capabilities supporting the highest levels of government. This is a unique opportunity to build and manage a complete AI team, vision, infrastructure, and suite of capabilities from the ground up. This role demands a deep understanding of hardware, data engineering, software engineering, containerization, and system administration, coupled with a proactive and problem-solving mindset.
Seize your opportunity to fulfill our AI systems engineering requirements across our set of managed services and processes. With GDIT, you will gain unmatched experience within our fast-paced environment along with extensive options for further training, certification, and career advancement.
How an AI Systems Engineer will make an Impact:
What You'll need to Succeed:
GDIT Is Your Place:
Work Requirements
Seize your opportunity to fulfill our AI systems engineering requirements across our set of managed services and processes. With GDIT, you will gain unmatched experience within our fast-paced environment along with extensive options for further training, certification, and career advancement.
How an AI Systems Engineer will make an Impact:
- Identify and recommend optimal hardware infrastructure (compute, storage, networking) required to support inference workloads within a self-hosted, offline environment.
- Implement the integration of AI-specific hardware (e.g., GPUs and servers) within our existing Kubernetes clusters. Configure and optimize Kubernetes for AI workloads.
- Research, deploy, and manage suitable engines for large language models and other AI models. Optimize these engines for performance and efficiency.
- Evaluate and select open-weight models based on accuracy, performance, consistency, and unbiased responses.
- Implement prompt engineering concepts to provide optimal output and the best user experience.
- Develop Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources.
- Properly format, chunk, and embed documents into vector databases for advanced search and Retrieval Augmented Generation (RAG) capabilities.
- Implement and manage appropriate database solutions for storing and retrieving data relevant to the AI applications. Ensure data integrity, security, and performance.
- Maintain and troubleshoot the underlying Linux operating systems powering the AI infrastructure. Ensure system stability, security, and performance.
- Configure on-prem S3-compatible storage solutions for storing datasets, models, and other AI-related artifacts.
- Implement and maintain stringent security measures to protect the AI infrastructure and data within the environment. Adhere to internal compliance requirements.
- Contribute to engineering of software that interacts with our internal models and other data platforms.
- Proactively monitor the AI infrastructure, diagnose and resolve issues, and provide support to internal users of the AI capabilities.
- Create comprehensive documentation for the infrastructure, deployment processes, and operational procedures.
- Stay up to date with the latest advancements in hardware, software, and best practices, and adapt them for our unique environment.
What You'll need to Succeed:
- Experience with containerization technologies, particularly Kubernetes, including hardware integration (e.g., GPU nodes).
- Strong understanding of AI/ML concepts and experience deploying and managing inference engines.
- Experience in designing and implementing data pipelines using relevant tools and technologies.
- Software engineering/development experience.
- Proficiency in database management.
- Proficiency in Linux system administration, including scripting and automation.
- Experience with configuring and managing S3-compatible storage solutions.
- Excellent problem-solving and troubleshooting skills, with the ability to work independently in a challenging environment.
- Strong understanding of security best practices for isolated environments.
- Excellent communication and documentation skills.
- Education: BS in Computer Engineering, Computer Science or related technology field. Experience may be substituted for education.
- Required Experience: 10+ years
- Required Technical Skills: DoD 8140/8570 IAT III compliance
- Security Clearance Level: Active Top Secret
- Location: Washington, District of Columbia; limited telework may be available
GDIT Is Your Place:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays
Work Requirements
group id: 90979310
Explore the Art of the Possible | GDIT