Senior Manager, AI Engineering and Operations
Job at a glance
The Senior Manager of AI Engineering at EchoStar leads the engineering teams responsible for building, deploying, and scaling the next-generation AI ecosystem. This forward-looking leadership position focuses on solving complex challenges in Agentic AI application engineering, intelligent orchestration, and multi-agent system productionalization. The role addresses the need for enterprise-grade scalability by overseeing core Databricks on AWS platform operations that empower advanced LLM-driven capabilities.
Reporting directly to the Head of AI Engineering, this position shapes the technical direction of AI during a period of rapid organizational expansion. What Success Looks Like (Objectives): Spearhead the architecture, development, and productionalization of advanced Agentic AI applications, multi-agent systems, and intelligent workflows Direct-line manage engineering managers and a growing team of junior, mid-level, and senior engineers; drive hiring, onboarding, and technical mentorship as the team expands its application capabilities Provide executive and architectural oversight for the core AI/ML platform (Databricks on AWS), ensuring a highly stable, secure, and optimized environment that accelerates AI application deployment Partner closely with dedicated Product Managers and Product Owners to translate a bleeding-edge AI product roadmap into concrete, predictable engineering execution Establish modern software engineering standards for AI applications, enforcing best practices for code quality, testing frameworks, CI/CD pipelines, and Python development Core Skills, Competencies, and Key Experiences (What you’ll bring) Deep professional expertise in building and deploying production-grade AI applications, Agentic AI workflows, LLM orchestration frameworks, and vector databases Solid architectural capabilities with Databricks and AWS to effectively guide platform operations and ensure infrastructure aligns with application needs Advanced proficiency in Python and modern DevOps/DataOps tooling, including GitLab, Artifactory, and CI/CD pipelines Expert-level capability in Agile and Scrum methodologies using Jira and Confluence to run highly efficient engineering sprints in partnership with Product management Critical experience leading high-performing software or data engineering teams for over seven years, including at least three years of formal people management AI Innovation skills to successfully spearhead next-generation intelligent orchestration across expanding organizational boundaries Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements: Minimum Education: Bachelor’s Degree in Computer Science, Engineering, or a related technical field Minimum Experience: 7 years of experience in software or data engineering, with at least 3 years in a formal people management role Required Technical Skills: Must have at least 3 years of experience with: AI applications, Agentic AI workflows, or LLM orchestration frameworks such as LangChain, LlamaIndex, or AutoGen Databricks and AWS cloud infrastructure optimization Python development and modern DevOps/DataOps tools including GitLab, Artifactory, and CI/CD pipelines Visa sponsorship not available for this role #LI-CH2 Salary Range Compensation: $154,275.00/Year - $208,725.00/Year About Our Department