AI/ML Engineering Director

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. Must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info, no invented summary. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also remove "GDIT IS YOUR PLACE", "OWN YOUR OPPORTUNITY", etc? Those are marketing but maybe considered boilerplate? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The marketing sections like "GDIT IS YOUR PLACE" might be considered boilerplate? Not explicitly listed, but they are promotional. Might be considered not substantive? However they contain info about benefits etc. But we have separate Benefits section. The marketing text includes details about growth, support, rewards, flexibility, community. Those could be considered benefits. But we already have Benefits section from "Total Rewards". We could incorporate those details into Benefits. However we must not invent or summarize away detail. We need to preserve all substantive information. So we need to extract substantive content: responsibilities list, qualifications, required qualifications, skills, pay range, schedule (40 hours weekly, travel 10-25%, remote). Benefits: medical, dental, vision, 401k, paid time off, paid leave, holidays, paid family leave, disability, life insurance etc. Also mention flexibility: full-flex work week. Also mention location: remote, any location. Also mention clearance: must be able to obtain Top Secret, US citizenship required. Also mention experience: 5+ years required, 15+ preferred, including 8+ years AI/ML etc. Also education: Bachelor's degree in IT or equivalent. Also mention skills: list of AI/ML competencies etc. Also mention "Job Family: Data Science and Data Engineering". Also mention "Skills: Job Qualifications: Collaboration, Digital Transformation Initiatives, Innovation, Performance Driven, Sustainability". That seems like a list of skills/qualifications. Also "Certifications: None". Also "Clearance Level Must Currently Possess: None Clearance Level Must Be Able To Obtain: Top Secret Public Trust/Other Required: None". Also "Job Type: Regular". Also "Requisition Type: Regular". We need to decide sections. We have headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to include only those with real content. About the role: we have a paragraph describing the role: "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." That's substantive. Responsibilities: list of key responsibilities (bulleted). We'll put

• each. Requirements: maybe include clearance, citizenship, experience, education, location? Could be under Requirements. But we also have Qualifications and Skills sections. The posting has "Required Qualifications" with education, experience, clearance, citizenship, location, etc. Also "Skills" list: Collaboration, Digital Transformation Initiatives, Innovation, Performance Driven, Sustainability. Also later list of AI/ML competencies etc. Might be better to split: Qualifications (education, experience, clearance, citizenship, location) and Skills (technical and soft skills). But we must not create thin sections; prefer few substantive sections. Could combine Requirements and Qualifications? But we have separate headings allowed. We need to decide. We have "Job Qualifications: Collaboration, Digital Transformation Initiatives, Innovation, Performance Driven, Sustainability". That's a list of skills/qualities. Then later "Required Qualifications" includes education, experience, clearance, citizenship, location, etc. Then later "Experience delivering modern AI methods..." etc. That's more qualifications. Then "Hands-on experience with AI/ML competencies such as: ..." That's skills. Thus we could have: - About the role (paragraph) - Responsibilities (list) - Qualifications (education, experience, clearance, citizenship, location, preferred experience) - Skills (soft skills list + technical AI/ML competencies) - Benefits (total rewards details) - Pay (salary range) - Schedule (weekly hours, travel, remote) We must not include sections with placeholder or vague like "commensurate with experience". We have specific pay range: $170,144 - $230,000. So Pay section valid. Schedule: we have "Scheduled Weekly Hours: 40", "Travel Required: 10-25%", "Telecommuting Options: Remote Work Location: Any Location / Remote". So we can include Schedule section. Benefits: we have detailed Total Rewards. So include Benefits. Now we must ensure we don't repeat info unnecessarily but preserve all substantive info. We'll need to include all points. Let's extract details: About the role paragraph: as above. Responsibilities list (from "Key Responsibilities"): each bullet: - 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 Note: The last bullet includes a sublist. We could keep as part of that bullet with sublist
  • . That's okay. Now Qualifications: from "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 Also maybe include "Job Family: Data Science and Data Engineering". Could be part of Qualifications. Also "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.)" Also "Experience designing or implementing AI and automation solutions within support organizations" Also "Ability to assess and redesign support operating models for efficiency and scalability" Also "Strong executive communication and client-facing consulting skills" Also "Demonstrated experience owning/supporting a portfolio of work to include delivering to a cost model or owning P&L" Also "Familiarity with Agentic and Gen AI-enabled support capabilities and copilots" Also "Experience developing business cases or ROI/Cost models for automation initiatives" Also "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" These are more like skills/experience. Could go under Skills. Now Skills: from earlier "Skills: Job Qualifications: Collaboration, Digital Transformation Initiatives, Innovation, Performance Driven, Sustainability". Also maybe include the technical AI/ML competencies list. Thus Skills section could contain two sublists: soft skills and technical skills. We must not create placeholder sections. All good. Now Benefits: from "Total Rewards At GDIT:" paragraph. Need to capture all details: - variety of medical plan options, some with Health Savings Accounts - dental plan options - vision plan - 401(k) plan offering ability to contribute both pre and post-tax dollars up to 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. Also earlier "GDIT IS YOUR PLACE" includes: Growth: AI-powered career tool..., Support: internal mobility team..., Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off, Flexibility: Full-flex work week..., Community: Award-winning culture... This overlaps with benefits but we can incorporate. We must not duplicate lines. We'll combine unique info. Now Pay: "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." We should include that exactly? We can include the range and note it's not guarantee. That's substantive. Schedule: "Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations:" We'll include weekly hours 40, travel 10-25%, remote work. Now we need to output HTML fragment only, no markdown fences. We'll structure:

    About the role

    ...

    Responsibilities

    • ...
    ...

    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