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# Director of AI and ML Engineering - Systems Integrator

- **Company:** Hamilton Barnes
- **Location:** Broomfield, CO, United States
- **Salary:** $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Centers, Machine Learning, Tensorflow, Pytorch, Large Language Models, Information Technology, Low Latency, Machine Learning Operations
- **Published:** July 15, 2026
- **Apply:** https://www.careerjet.com/job/us9500ae378ddc705282b3826515631f7d/eaa

## About the Role

Skills/Must Have:

 * 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

## Description

Join a leading IT solutions provider delivering security, cloud, networking, data center, and managed services to organizations worldwide. With a customer-first approach and deep technical expertise, the organization helps businesses modernize, optimize, and scale their IT infrastructure.
This opportunity is for a Director of AI & ML Engineering to lead the development, delivery, and operationalization of AI and machine learning capabilities across software products and internal platforms. The role involves building and mentoring an AI/ML engineering team, collaborating with cross-functional stakeholders, and driving AI initiatives from strategy and deployment through ongoing governance, optimization, and lifecycle management.
Ready to make a move? Get in touch and apply today!
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


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