Senior AI Engineering & Platforms Lead

EchoStar Corporation; Denver (CO); Hybrid; USD 154,000 - 209,000; Full time

Benefits offered by this job

Health perks

HSA

401(k) plan

ESPP

Flexible time off

Job summary

EchoStar Corporation seeks a Senior Manager of AI Engineering to lead the engineering teams building and scaling the next‑gen AI ecosystem. You will oversee Databricks on AWS, architect intelligent orchestration, and drive enterprise‑grade productionalization of Agentic AI capabilities.

You will partner with Product Management to map ambitious AI roadmaps to concrete engineering work, set standards, and mentor engineers across levels in a rapidly expanding organization.

Qualifications

• Minimum Education: Bachelor's Degree in Computer Science, Engineering, or a related technical field.
• Minimum Experience: 7 years in software or data engineering, with at least 3 years in a formal people management role.
• Production-grade AI applications, Agentic AI workflows, and LLM orchestration frameworks such as LangChain, LlamaIndex, or AutoGen.

Responsibilities

• Lead 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 engineers; drive hiring, onboarding, and mentorship as the team grows.
• Provide executive and architectural oversight for the core AI/ML platform (Databricks on AWS).
• Collaborate with Product Managers to translate an AI product roadmap into concrete engineering execution.
• Establish modern software engineering standards for AI applications, including code quality, testing, CI/CD, and Python development.

Skills

Agentic AI workflows

LLM orchestration

Databricks on AWS

Python development

CI/CD pipelines

Agile and Scrum

People management

Jira/Confluence

Vector databases

Education

Bachelor's Degree in Computer Science, Engineering, or related field

Tools

Databricks

AWS

Job description

EchoStar Corporation seeks a Senior Manager of AI Engineering to lead the engineering teams building and scaling the next‑gen AI ecosystem. You will oversee Databricks on AWS, architect intelligent orchestration, and drive enterprise‑grade productionalization of Agentic AI capabilities.

You will partner with Product Management to map ambitious AI roadmaps to concrete engineering work, set standards, and mentor engineers across levels in a rapidly expanding organization.