Director, AI & ML Engineering

Location: Broomfield

Director, AI & ML Engineering page is loaded## Director, AI & ML Engineering locations:
Broomfield, CO United Statestime type:
Full time posted on:
Posted Todayjob requisition :
R4088

We will be accepting applications through April 5, 2026 or until filled.

--- --- ---Gogo, a leading satellite connectivity reseller, is seeking a
** Director of AI & ML Engineering
** to lead the engineering, delivery, and operationalization of AI/ML capabilities across our software products and internal platforms. This role will build and mentor a high-performing AI/ML engineering team and partner closely with Product, Operations, Support, Sales, IT, Security, and Data to identify and deliver practical AI/ML solutions that improve business efficiency, enhance customer experience, and increase the value of our core products.

The ideal candidate is a hands-on technical leader who understands how to take AI/ML initiatives from opportunity discovery through production deployment and long-term lifecycle ownership (monitoring, retraining, governance, and cost/performance optimization).COME ON BOARD THE GOGO SAAS ENGINEERING TEAM!
* Execute the company’s AI strategy, aligning with Gogo’s business objectives and the evolving needs of the satellite connectivity industry
* Lead the design, build, and deployment of AI/ML solutions that improve customer experience and operational outcomes, including areas such as network/service insights, predictive maintenance, anomaly detection, support automation, and sales enablement
* Own the end-to-end delivery lifecycle for AI/ML initiatives: problem framing, data readiness, experimentation, production-ization, monitoring, and continuous improvement
* Partner with Product to translate business goals into actionable AI/ML roadmaps and measurable outcomes tied to customer and operational value
* Establish and mature ML Ops and LLM Ops practices: model versioning, CI/CD, evaluation, monitoring, drift detection, retraining workflows, and production support
* Define engineering standards for AI/ML systems including quality, reliability, security, latency, cost-to-serve, and scalability
* Collaborate with platform and data teams to ensure strong foundations for data pipelines, feature management, and model-ready datasets
* Work with cross-functional stakeholders (Product, Operations, Support, Sales, IT, Security, Legal/Compliance) to identify high-value AI/ML opportunities and integrate solutions into business workflows and customer-facing experiences
* Ensure AI/ML capabilities are delivered as durable product features and operational tools.
* Communicate plans, tradeoffs, progress, and outcomes clearly to both technical and non-technical audiences
* Establish best practices for data governance, privacy, security, and responsible AI usage, ensuring compliance with internal policies and applicable regulations
* Implement guardrails and review processes for model risk, bias, explainability (where needed), and appropriate use of customer and operational data
* Build, lead, and develop a team of AI/ML engineers and applied scientists; set expectations, coach performance, and foster a culture of execution and continuous learning
* Manage vendor relationships and partnerships related to AI/ML platforms, tooling, and services
* Support budgeting and capacity planning for AI/ML programs and platform investments.##
** Qualifications
* ** Bachelor’s Degree in
** Computer Science**,
** Engineering**,
** Data Science**, or related field (Master’s preferred)
* 10+ years of engineering experience with 6+ years delivering
** ML/AI solutions
*** 3+ years in a
** technical leadership role
**** Required Skills, Talents, & Experience
*** Demonstrated success taking
** AI/ML systems
** into production and owning operational performance (monitoring, reliability, retraining, cost)
* Strong experience with modern
** ML tooling and frameworks** (e.g.,
** PyTorch**,
** Tensor Flow**) and
** cloud-based AI services** (
** Azure**,
** AWS**, or
** GCP**)
* Proven ability to lead cross-functional execution and communicate effectively with engineering, product, and business stakeholders
* Strong understanding of
** data privacy**,
** security**,…