AI Delivery Manager

Company: 3E
Location: Bethesda
Posted on: February 18, 2026

Job Description:

Job Description Job Description About 3E: We are a mission-driven company dedicated to creating a safer and more sustainable world! 3E provides award-winning regulatory expertise and cutting-edge technology that seamlessly integrates data and intelligence regarding chemicals, regulations, products, and supply chains for over 5,000 customers globally. With more than 35 years of experience and 15 locations across North America, Europe, and Asia, we are connecting our customers to a new class of expert-led AI solutions, specifically designed to accelerate future product compliance with trust, speed, and domain authority. Are you ready to help shape the future? Join us! About the Role: The AI Delivery Manager is an engineering-embedded leadership role that transforms how 3E ships software by combining technical execution, program ownership, and change leadership to increase speed, quality, and predictability across programs. Reporting to the Director of Technology Program Management, you will bridge product intent and engineering execution. In this role, you will build AI-enabled delivery systems that surface risk early, automate routine coordination, and embed governance directly into pipelines so teams can deliver faster with greater confidence. If you are someone who has shipped production systems in a technical capacity, wants to build solutions instead of running status meetings, and wants to scale your impact by improving how multiple teams deliver, this role is built for you. Location : This position supports remote work and should be based near one of our U.S. East Coast office locations: Bethesda, MD, or Canton, OH. What You’ll Do Translate product intent into executable tasks and establish automated validation to ensure that requirements are clear, testable, and ready before development begins. Implement traceability across requirements, user stories, tests, and deployments. Build automated validation, ensuring requirements are clear, testable, and ready before development begins Create cross-program detection for dependencies, blockers, and delivery risks, providing real-time visibility through automation. Drive resolutions by actively engaging engineers, developing tools, and reducing the need for repeated interventions. Build and maintain flow metrics infrastructure (including cycle time, lead time, work in progress, throughput, and predictability) to inform decisions regarding scope, timelines, and trade-offs. Deploy forecasting and risk models to facilitate proactive delivery decisions. Eliminate routine coordination through automation, allowing more time for judgment and action. Write production-quality code (in Python, JavaScript, or equivalent languages) to address delivery challenges, review AI-generated code, and debug complex systems. Design and orchestrate multi-agent AI workflows throughout the delivery lifecycle. Integrate DevOps and MLOps practices, embedding governance into CI/CD processes and ensuring release readiness. Lead transformation by actively participating in the process, assisting teams in adopting new tools, expectations, and ways of working. What Makes You a Great Fit Minimum Qualifications: 4 years of experience in a technical role such as Software Engineer, Tech Lead, Platform Engineer, DevOps Engineer, ML Engineer, or Architect, with production delivery experience Strong coding proficiency in Python, JavaScript, or similar, including the ability to write production-quality code, review AI-generated code, and debug Proven experience designing, building, and operating CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar) Practical cloud experience in AWS, Azure, or GCP, including containers and infrastructure-as-code or equivalent deployment automation Delivery leadership experience across multiple global teams and dependencies, with a track record of owning delivery results (not just coordinating) Strong understanding of Agile and flow-based delivery (Scrum, Kanban, or hybrid) and proven use of flow metrics to drive decisions Hands-on experience using AI coding assistants (Claude, Copilot, Cursor, ChatGPT, or similar) in software engineering workflows Excellent communication and relationship-building skills, forming recommendations using data and AI insight, and with the ability to influence across levels and functions Physically located in the Eastern Time Zone (US), with the ability to work without sponsorship Willingness and ability to work effectively across multiple time zones (North America, Europe, and Asia). Preferred Qualifications: DevOps reliability or MLOps experience (model deployment, monitoring, versioning, governance) Experience building internal tools or automations adopted by software engineering teams Familiarity with AI governance concepts or frameworks (for example, NIST AI RMF or EU AI Act concepts) Relevant certifications (cloud, AI, or delivery/agile, such as AWS, Azure, GCP, PMP, CSM/PSM) Experience leading organizational transformation initiatives in a global, distributed environment Proficiency in German or French What’s In It for You Solve Complex, High-Impact Problems: Use AI to address mission-critical challenges that directly influence revenue and drive business value. Work with Proprietary Data: Leverage exclusive datasets and real-world signals to build intelligent systems with lasting competitive advantage. Learn from Proven Leadership: Partner with seasoned executives who’ve scaled AI and product teams at high-growth companies. Best of Both Worlds: Experience the pace and innovation of a startup culture with the stability and resources of a trusted global enterprise. Pay Transparency: The anticipated salary range for this position is $90,000 - 105,000 per year plus incentives. The final offer will depend on several factors, including the successful candidate’s skills, depth of work experience, location, and relevant licenses/ qualifications. Each offer is determined based on individual strengths and relevant business considerations. In addition to the base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements. Our US Benefits Include: - Health, dental, and vision insurance - Life insurance and disability coverage - Open PTO and parental leave - 401(k) plan with company matching - Employee assistance program - Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness) 3E is currently authorized to hire in the following U.S. states: Alabama, Arizona, California, Colorado (excluding Denver), Connecticut, Delaware, District of Columbia, Florida, Georgia, Illinois (excluding Chicago), Indiana, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York (excluding New York City), North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, and Washington. Disclosures: 3E is committed to a diverse and inclusive work environment. 3E is an equal opportunity employer and does not discriminate based on race, nationality, gender, gender identity, sexual orientation, protected veteran status, age, disability, or any other legally protected status. For applicants who would like to request accommodation please send an email to recruiting@hr.3eco.com Visit us at https://www.3eco.com/ Follow us at https://www.linkedin.com/company/3e -safer-world/ Privacy Policy and Candidate Privacy Notice Agencies : 3E is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at 3E via email, the Internet, or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of 3E. No fee will be paid in the event the candidate is hired by 3E because of the referral or through other means. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Keywords: 3E, Alexandria , AI Delivery Manager, IT / Software / Systems , Bethesda, Virginia