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, TensorFlow) 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, and governance practices in production systems.
• Experience delivering AI / ML capabilities in connectivity, telecommunications, aviation, or other high-reliability industries.
• Familiarity with RAG, LLM integration, and evaluation practices for AI assistants and automation use cases.
• Experience building or scaling MLOps platforms (feature stores, model registries, CI / CD for models, observability).

Preferred Skills:

• Strong working knowledge of DevOps, distributed systems, and agile product delivery.
• Track record of measurable business impact from AI / ML initiatives (efficiency gains, cost reduction, improved customer outcomes).

If hired, you will enjoy the following ECLARO Benefits:

• 401k Retirement Savings Plan administered by Merrill Lynch
• Commuter Check Pretax Commuter Benefits
• Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO

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