Agentic AI Engineer II

Englewood, CO, US • Posted 15 hours ago • Updated 4 hours ago
Full Time
On-site
USD $100,980.00 - 136,625.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Satellite
  • Television
  • Streaming
  • Boost
  • Apache Sling
  • Research and Development
  • Innovation
  • Data Governance
  • Servers
  • Generative Artificial Intelligence (AI)
  • Apache Velocity
  • Regulatory Compliance
  • ProVision
  • Incident Management
  • Payment Card Industry
  • Access Control
  • Microsoft Certified Professional
  • Authentication
  • Web Portals
  • Knowledge Base
  • Durable Skills
  • Unity
  • Orchestration
  • Continuous Integration
  • Continuous Delivery
  • Machine Learning (ML)
  • Artificial Intelligence
  • Analytics
  • Computer Science
  • Information Technology
  • DevOps
  • Databricks
  • Terraform
  • Cloud Computing
  • Amazon Web Services
  • Amazon S3
  • Virtual Private Cloud
  • Python
  • Bash
  • Scripting
  • DMV
  • Management
  • Law
  • Accessibility
  • English
  • Spanish

Summary

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

The Agentic AI Engineer role exists to scale and secure the enterprise Databricks platform on AWS that supports EchoStar's production analytics, machine learning, and AI agent workloads. This role solves problems in platform reliability, data governance under Unity Catalog, CI/CD automation, and the integration layer for AI agent frameworks including MCP servers. The team is building the foundational platform layer that EchoStar's GenAI products run on, so decisions made in this role carry direct impact on AI product velocity, security posture, and governance compliance across the enterprise. This is a hands-on engineering position that requires production Databricks experience, infrastructure automation skills, and genuine interest in AI platform governance.

What Success Looks Like (Objectives)
  • Provision, manage, and continuously improve Databricks workspaces at production scale using Terraform and automated deployment patterns, and take ownership of platform monitoring and incident response
  • Standardize Unity Catalog adoption across the platform, applying data sensitivity classifications including PII, CPNI, and PCI so access control stays consistent and auditable
  • Support the integration of AI agents into the platform by implementing and maintaining Model Context Protocol (MCP) server frameworks and managing authentication for agentic access patterns
  • Build and maintain CI/CD pipelines for Databricks Asset Bundle deployments, and reduce manual toil through self-service tooling on the team's internal developer portal
  • Enforce cluster policies and contribute to cost attribution efforts that connect platform spend to the workloads and teams responsible for it
  • Provide technical guidance to junior team members and document platform patterns that strengthen the team's shared knowledge base

Skills, Experience and Requirements

Core Skills and Competencies (What you'll bring):
  • Critical experience administering Databricks in a production environment, including workspace management, cluster configuration, Unity Catalog governance, and job orchestration
  • Strong Python and Bash scripting ability applied to real automation problems, along with working knowledge of Terraform and CI/CD pipeline design
  • Working knowledge of AWS services relevant to a cloud-native data platform, including IAM, S3, and VPC, gained through experience operating infrastructure in a regulated enterprise environment
  • AI literacy spanning how ML models are served, what agent frameworks require from infrastructure, and how access patterns for AI workloads differ from batch analytics

Minimum Requirements:
  • Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related field
  • Minimum Experience: 3 years of experience in Platform Engineering, DevOps, or Cloud Operations
  • Required Technical Skills: * Databricks administration and operation in production environments
    • Infrastructure-as-Code using Terraform
    • Cloud platform services (AWS S3, IAM, VPC)
    • Python or Bash scripting for automation

Visa sponsorship not available for this role

#LI-CH2

Salary Ranges

Compensation: $100,980.00/Year - $136,625.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120919
  • Position Id: 8c546b9680a1b9599f575869b77327f7
  • Posted 15 hours ago
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