AI Delivery Manager

AI Delivery Manager

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!

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.

• 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 Dev Ops 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.

• Minimum Qualifications:
• 4+ years of experience in a technical role such as Software Engineer, Tech Lead, Platform Engineer, Dev Ops 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 (Git Hub Actions, Git Lab CI, Jenkins, Azure Dev Ops, 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).

• Dev Ops 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,…