AI/ML Engineering Director

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: Top Secret Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Collaboration, Digital Transformation Initiatives, Innovation, Performance Driven, Sustainability Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes Job Description: GDIT is seeking a Director-level AI/ML Engineer to support CCaaS & AI digital transformation initiatives across federal and public sector environments. This role combines hands-on architecture, POC development, and presales engagement. Candidates must be able to prototype solutions, lead discovery sessions, present architectures to executives and develop AI capabilities end-to-end. This role is focused on modernizing citizen and employee engagement through strategic adoption of AI, automation, analytics, and workflow optimization. This position has strategic advisory and architectural responsibilities and benefits from a strong understanding of operational delivery models. Successful candidates bring deep experience from previously leading advanced analytics, AI/ML, modeling, simulation, optimization and/or decision intelligence capabilities to advise clients on modernization strategies and technology roadmaps. Key Responsibilities • Assess current-state service desk and contact center environments, including people, process, technology, and operating & costing models • Design future-state support models emphasizing AI, automation, self-service, and workflow orchestration • Develop modernization roadmaps aligned to federal mission requirements, user experience goals, and operational efficiency objectives • Analyze client data to create value-based proposals demonstrating return on investment and measurable cost savings • Advise clients on reducing manual effort and repetitive support activities through intelligent automation and AI-driven solutions • Brief internal and customer stakeholders on the technologies and methodologies described in the required qualifications • Support capture and business development efforts such as responding to proposals, request for information and whitepapers • Support transformation initiatives involving ITSM, customer experience, omnichannel support, and enterprise service Management • Facilitate workshops, stakeholder interviews, and operational assessments • Convert operational pain points into scalable technical and process solutions • Produce architectural documentation, transformation strategies, business cases, and executive-level briefings • Collaborate with delivery teams, engineers, and client stakeholders to align solutions with mission outcomes and compliance requirements • Evaluate, recommend and implement technologies including: • Conversational AI/chatbots • Virtual agents • Intelligent routing • Knowledge-Centered Service (KCS) • Robotic Process/Agentic Automation (RPA) • Workflow automation platforms • Agent Assist capabilities • Predictive analytics and reporting What Success Looks Like • Reduced dependence on labor-intensive support models • Increased automation and self-service adoption • Improved customer and employee experience • Faster resolution times and operational efficiency gains • Measurable cost optimization through AI-enabled transformation • Sustainable modernization strategies aligned to mission objectives • Demonstrated portfolio growth based on successful sales activities Required Qualifications • Education: Bachelor’s Degree in Information Technology (or equivalent experience) • Experience: 5+ years of related experience required; 15+ years of related experience preferred, including 8+ years of experience in artificial intelligence, machine learning, intelligent workflow automation, or a related technical field • Security Clearance Level: Must be able to obtain and maintain a Top Secret security clearance • US Citizenship Required • Location: Remote • Experience delivering modern AI methods to real-world problems in complex technical environments across Government or Commercial industries (Federal, State & Local, retail, financial services, insurance, healthcare, telecom, technology etc.) • Experience designing or implementing AI and automation solutions within support organizations • Ability to assess and redesign support operating models for efficiency and scalability • Strong executive communication and client-facing consulting skills • Demonstrated experience owning/supporting a portfolio of work to include delivering to a cost model or owning P&L • Familiarity with Agentic and Gen AI-enabled support capabilities and copilots • Experience developing business cases or ROI/Cost models for automation initiatives • Hands-on experience with AI/ML competencies such as: • Virtual Agents • LLM orchestration • Agentic AI patterns • Safety, compliance and guardrails • Conversational design • AI evaluation frameworks • Prompt engineering and context engineering The likely salary range for this position is $170,144 - $230,000. 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: 10-25% 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. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.