Director of AI & ML Engineering

Location: Broomfield

Director of AI & ML Engineering Job Number: 26-00504 Use your skills where innovative technology solutions begin. ECLARO is looking for a Director of AI & ML Engineering for our client in Broomfield, CO. ECLARO’s client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals. If you’re up to the challenge, then take a chance at this rewarding opportunity!

Position Overview:

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 consultant 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). Responsibilities:
Execute the company's AI strategy, aligning with Customer'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. 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…