Machine Learning Jobs in Westminster, CO

Develop and maintain AI-driven autonomous planning, scheduling, and optimization systems for Earth observation satellite operations. Build reinforcement learning algorithms, simulation and evaluation environments, and multi-objective optimization pipelines for satellite constellation tasking. Collaborate with aerospace engineers, mission operators, software engineers, and product teams to translate mission requirements into deployable systems. The role requires strong Java and Spring Boot experience, software engineering fundamentals, and machine learning or optimization expertise.

Lead the AI Center of Excellence’s architecture and execution for enterprise business systems. Design and deploy generative AI, machine learning, agentic, automation, and RAG solutions across Google Cloud, Oracle, and Salesforce ecosystems. Establish ModelOps, security, privacy, governance, observability, and responsible AI standards. Guide integrations, pilots, production rollouts, cost optimization, and technical decision-making while mentoring AI developers and data engineers and communicating with executive stakeholders.

Designs, develops, and deploys AI-powered tools, agents, workflows, and enterprise applications. Partners with business and operations stakeholders to identify automation opportunities, translate requirements into scalable solutions, and integrate LLMs, APIs, cloud AI services, and enterprise technologies. Establishes prompt engineering, validation, governance, monitoring, and responsible AI practices while creating user interfaces and dashboards. Evaluates emerging technologies and contributes to AI architecture, strategy, and innovation initiatives.

Serve as a technical leader supporting sales across enterprise, service provider, and public sector customers. Evaluate F5 solutions, explain technical and business trade-offs, conduct demonstrations and presentations, and collaborate with Sales, Marketing, Product Management, and Development. Provide expertise in application delivery, security, cloud, Kubernetes, containers, Linux, NGINX, APIs, AI infrastructure, and automation. Act as a technical evangelist, publish educational content, mentor solution engineering teams, and support strategic opportunities and product launches.