Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Large Language Model (LLM) Fine-Tuning, Large Language Models (LLMs), Machine Learning Algorithms, Machine Learning MethodsCertifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: GDIT is growing our AI Center of Excellence, and we are seeking a Senior AI Engineer. As a key member of our team, you will apply your AI and machine learning knowledge to build actionable solutions, while also developing compelling briefings and proposal materials for our diverse clientele. Your contributions will directly influence our research and development investments, technical proposals and presentations, ensuring we present AI-driven strategies. Additionally, you will play a pivotal role in planning and executing prototyping and technical implementations, while providing professional consultation to both external clients and internal stakeholders. MEANINGFUL WORK AND PERSONAL IMPACT As a Senior AI Engineer in the AI Center of Excellence, the work you’ll do at GDIT will be impactful to vital national missions. You will play a crucial role in bringing the power of Generative and Agentic AI to our research and development efforts, existing programs, and new programs. You will: - Support implementation of Agentic AI workstreams and platforms. - Support implementation of AI Security features and platforms. - Collaborate with Cyber and Mission Software teams to integrate AI in their missions - Drive innovation and growth by supporting the development of new capabilities - Utilize LLMs, Generative AI, RAG, Agents, MCP, and related AI methods - Professionally consult with external clients and internal stakeholders. WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Senior AI Engineer must have: - Education: Bachelor of Arts/Bachelor of Science - Experience: 5+ years of related experience - Technical skills: Artificial Intelligence, Generative AI, Data Science, AI-Assisted Programming - Role requirements: - Expertise in AI/ML, Generative AI, and Agent-based AI - Expertise in data science and data engineering best practices, tools, and techniques. - Experience with Cloud Services AI and Data Services - Experience with data integration, data migration, analysis and visualization. - Experience in client relationship management & requirements gathering, and an ability to translate technical requirements for client and internal stakeholders. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Flexibility: Full-flex work week to own your priorities at work and at home - Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $119,000 - $161,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: 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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Support the design, build and deployment of applied AI systems under the guidance of senior engineers. • Contribute to backend services, APIs and application components that integrate AI capabilities into production systems. • Assist in experimentation, prototyping and testing of ML and Generative AI solutions. • Write clean, maintainable, well-tested code following established engineering standards. • Participate in code reviews and technical discussions to continuously improve engineering quality. • Help implement monitoring, evaluation and performance tracking for AI-enabled systems. • Collaborate with data scientists, product managers and client stakeholders to understand requirements and translate them into working solutions. • Contribute to internal knowledge sharing and capability development as you grow.

Description About Company JobHire.ai is a vertical AI agent for automated job search. We help thousands of job seekers land interviews faster by finding, tailoring, and applying to jobs on their behalf. We’re profitable, growing fast, and now expanding the product to deliver long-term user value beyond job offers alone. 📈 ~35% MoM; top 1% in growth rate 💰 Profitable from day one 👥 40 people 🚀 Investors: Deel Ventures, Daniel Gutenberg, Dave Waiser, Margulan Seisembayev, and other unicorn founders. Mission  JobHire.ai is a personal AI agent for continuous professional development and happiness at work The role Overview We are looking for an AI Engineering Tech Lead to architect, build, and lead our core AI products. You will split your time between AI development (60%) and technical leadership & mentoring. You will own the technical roadmap for AI features, from candidate matching to resume parsing and conversational agents. Key Responsibilities Technical Leadership - Define best practices for model development, MLOps, code reviews, and testing. - Collaborate with product managers to translate business goals (e.g., match quality, latency) into technical specifications. - Drive architectural decisions for AI services (inference pipelines, embedding stores, LLM orchestration). - Conduct regular design reviews and ensure technical documentation. AI Engineering - Design and fine-tune transformer-based models for resume/job description understanding. - Build and optimize vector search pipelines for semantic candidate matching. - Develop agentic workflows using LLMs (GPT-4, Claude, Gemini) for screening, interview scheduling, and feedback synthesis. - Implement production RAG systems with low latency. - Build data pipelines for feature extraction, embedding generation, and model evaluation. - Monitor model performance, drift, and retraining triggers. Cross-functional Collaboration - Work closely with backend engineers to deploy models via REST APIs (FastAPI, TorchServe, or similar). - Partner with data engineers to ensure high-quality training data from hiring interactions. - Coordinate with product & design to embed AI features seamlessly into UX. - Ensure compliance with data privacy (GDPR, CCPA) and fairness/anti-bias standards.

Description About Company JobHire.ai is a vertical AI agent for automated job search. We help thousands of job seekers land interviews faster by finding, tailoring, and applying to jobs on their behalf. We’re profitable, growing fast, and now expanding the product to deliver long-term user value beyond job offers alone. 📈 ~35% MoM; top 1% in growth rate 💰 Profitable from day one 👥 40 people 🚀 Investors: Deel Ventures, Daniel Gutenberg, Dave Waiser, Margulan Seisembayev, and other unicorn founders. Mission  JobHire.ai is a personal AI agent for continuous professional development and happiness at work The role Overview We are looking for an AI Engineering Tech Lead to architect, build, and lead our core AI products. You will split your time between AI development (60%) and technical leadership & mentoring. You will own the technical roadmap for AI features, from candidate matching to resume parsing and conversational agents. Key Responsibilities Technical Leadership - Define best practices for model development, MLOps, code reviews, and testing. - Collaborate with product managers to translate business goals (e.g., match quality, latency) into technical specifications. - Drive architectural decisions for AI services (inference pipelines, embedding stores, LLM orchestration). - Conduct regular design reviews and ensure technical documentation. AI Engineering - Design and fine-tune transformer-based models for resume/job description understanding. - Build and optimize vector search pipelines for semantic candidate matching. - Develop agentic workflows using LLMs (GPT-4, Claude, Gemini) for screening, interview scheduling, and feedback synthesis. - Implement production RAG systems with low latency. - Build data pipelines for feature extraction, embedding generation, and model evaluation. - Monitor model performance, drift, and retraining triggers. Cross-functional Collaboration - Work closely with backend engineers to deploy models via REST APIs (FastAPI, TorchServe, or similar). - Partner with data engineers to ensure high-quality training data from hiring interactions. - Coordinate with product & design to embed AI features seamlessly into UX. - Ensure compliance with data privacy (GDPR, CCPA) and fairness/anti-bias standards.