# Lead AI Engineer **Company**: GDIT **Location**: Chantilly, VA **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Salary**: $169,604 - $229,464 **Category**: Data Science **Industry**: Technology **Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-VA-Chantilly/Lead-Artificial-Intelligence--AI--Engineer_RQ229558-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_38160952-9b3 ## Description We are seeking a Lead AI Engineer to join our team at GDIT, working on a large-scale, pioneering National Intelligence program. This is an incredible opportunity to immerse yourself into an environment that fuses innovation, speed, and security to safeguard our Nation. As a Lead AI Engineer, you will serve as the innovation and technical AI lead across a six–Task Order (TO) software-development IDIQ portfolio. Operating within the Program Management Office (PMO) and reporting directly to the Solution Architect, you will be responsible for: - Rationalizing and optimizing the solution portfolio - Guiding AI/ML and automation insertion across multiple TOs - Driving continuous improvement in delivery processes and technical solutions - Leading selection of AI models based on use case and performance requirements, including model optimization and tuning - Exploring use of open-weight/open-source models to reduce token consumption across the program and TOs - Collaborating with customer on adoption of new and emerging AI capabilities - Ensuring cost, schedule, and performance objectives are met across completion-based task orders **Key Responsibilities** - **Portfolio-Level AI Leadership** - Develop and maintain an AI/ML strategy for the six–Task Order IDIQ portfolio, aligned with enterprise architecture and program objectives. - Assess current systems and capabilities to identify opportunities for AI-driven enhancements, cost savings, and performance improvements. - Rationalize overlapping solutions and tools across task orders, driving reuse, common services, and standardized approaches to AI/ML. - **AI Insertion & Technical Execution** - Architect and guide the design, development, integration, and deployment of AI/ML solutions (e.g., predictive analytics, NLP, recommendation engines, intelligent automation) into existing and new applications. - Leverage GDIT enterprise accelerators,including ALAMO, Coral, and SDAF,to rapidly design, prototype, and operationalize AI capabilities across the portfolio. - **Continuous Improvement & Innovation** - Drive continuous improvement across the portfolio by introducing modern engineering practices (MLOps, DevSecOps, CI/CD, infrastructure as code, automated testing, observability). - Lead proof-of-concept and rapid prototyping efforts to validate new AI capabilities before scaling. - **Legacy Transition & Modernization** - Lead technical planning and execution for transitioning legacy systems and workflows to modern architectures, including cloud-native and AI-enabled platforms. - **Cost, Schedule, and Performance Management** - Support PMO and Solution Architect in estimating AI-related work, defining scope, and planning for cost-effective delivery. - **Collaboration & Stakeholder Engagement** - Work closely with TO leads, software engineers, data engineers, business analysts, and UX teams to integrate AI into end-to-end solutions. **Required Qualifications** - Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or related field; or equivalent experience. - 5+ years of professional experience in software engineering and/or AI/ML engineering. - Proven experience designing, developing, and deploying AI/ML solutions in production environments. - Hands-on experience with common AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, spaCy, Hugging Face, etc.). - Strong proficiency in at least one modern programming language (e.g., Python, Java, C#, or similar). - Experience with cloud platforms and services (e.g., AWS, Azure, GCP) and data pipelines for AI/ML workloads. **Desired Skills and Experience** - Advanced degree (Master’s or PhD) in a relevant technical field. - Experience supporting government or regulated industry customers under IDIQ or similar contract vehicles. - Background in MLOps and observability for AI systems (model monitoring, drift detection, logging, metrics). **Benefits** Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. ## Skills ### Required - AI Concepts - AI Systems - Artificial Intelligence (AI) - Data Science - Machine Learning (ML) - Python - TensorFlow - PyTorch - scikit-learn - Transformers - spaCy - Hugging Face - AWS - Azure - GCP ### Nice to have - MLOps - observability - model monitoring - drift detection - logging - metrics - data governance - responsible AI - explainable AI (XAI) --- Source: [Apply at gdit.wd5.myworkdayjobs.com](https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-VA-Chantilly/Lead-Artificial-Intelligence--AI--Engineer_RQ229558-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)