Senior Manager, AI Engineering and Operations
About The Position
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.
Requirements
- 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
- Bachelor’s Degree in Computer Science, Engineering, or a related technical field
- 7 years of experience in software or data engineering, with at least 3 years in a formal people management role
- At least 3 years of experience with: Production-grade AI applications, Agentic AI workflows, and 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
Responsibilities
- 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
Benefits
- Flexible spending accounts
- HSA
- 401(k) Plan with company match
- ESPP
- Career opportunities
- Flexible time away plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
