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.
The TPRM AI Automation Engineer position addresses the challenge of modernizing and scaling manual Third Party Risk Management processes within the Information Security department. This role focuses on solving data fragmentation and delayed threat visibility by designing, building, and operationalizing secure Generative AI models, predictive analytics, and real-time automation pipelines. By transforming unstructured vendor risk data into actionable risk forecasts and interactive dashboards, the position centralizes compliance telemetry and enables proactive security decision-making. Over time, these automated solutions will scale beyond TPRM to address broader Governance, Risk, and Compliance domain challenges across the organization.
What Success Looks Like (Objectives):
- Build secure, LLM-driven platforms and pipelines tailored specifically for Third Party Risk Management and broader Governance, Risk, and Compliance use cases
- Develop predictive security models and risk forecasting analytics to evaluate compliance telemetry, audit logs, and threat signals
- Architect live interactive dashboards that consolidate decentralized security data and automate executive compliance reporting
- Implement secure AI pipelines using advanced RAG, chunking, and vector storage for complex, unstructured data parsing
- Deploy agentic workflows, evaluation frameworks, and guardrails to automate vendor risk reviews while mitigating LLM hallucinations
Skills, Experience and Requirements
Core Skills and Competencies (What you’ll bring):
- AI Application expertise in building, integrating, and securing LLM platforms, vector databases, and RAG architectures
- Strong data interpretation and visualization skills to build live dashboards using Power BI, Tableau, Streamlit, or custom frameworks
- Ability to apply predictive modeling and quantitative risk management methodologies like the FAIR framework
- Solid understanding of standard compliance frameworks such as NIST CSF, ISO 27001, SOC 2, and HIPAA
- Proficiency in Python for developing AI/ML pipelines, API integrations, and continuous evidence-collection models
- Critical experiences navigating highly regulated compliance environments and securing cloud-native data pipelines
Additional Qualifications:
- Familiarity with GRC tooling like Archer or ServiceNow and project management platforms like Jira or Smartsheets APIs
Minimum Requirements:
- Minimum Education: Bachelor’s degree in Computer Science, Information Technology, related discipline, or commensurate industry experience
- Minimum Experience: 5+ years of experience in Software Engineering, Security Automation, GRC Systems Engineering, or Data Engineering
- Required Technical Skills: Must have at least 3 years of experience with:
- Hands-on GENAI development, modeling, LLM integration, and security
- LLM evaluation tools and frameworks such as Ragas, TruLens, or LangSmith
- Python programming for AI/ML pipelines, automation, and API integrations
Visa sponsorship not available for this role
Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/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 [email protected] 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)
Skills Required
- Bachelor’s degree in Computer Science, Information Technology, a related discipline, or commensurate industry experience
- 5+ years of experience in Software Engineering, Security Automation, GRC Systems Engineering, or Data Engineering
- At least 3 years of hands-on Generative AI development, modeling, LLM integration, and security experience
- At least 3 years of Python programming experience for AI/ML pipelines, automation, and API integrations
- At least 3 years of experience with LLM evaluation tools and frameworks such as Ragas, TruLens, or LangSmith
- Experience building, integrating, and securing LLM platforms, vector databases, and RAG architectures
- Experience developing live dashboards using Power BI, Tableau, Streamlit, or comparable frameworks
- Knowledge of predictive modeling, quantitative risk management, and the FAIR framework
- Understanding of NIST CSF, ISO 27001, SOC 2, and HIPAA compliance frameworks
- Experience navigating regulated compliance environments and securing cloud-native data pipelines
- Familiarity with GRC tools such as Archer or ServiceNow and project management platforms such as Jira or Smartsheet APIs
- Willingness to participate in at least one in-person interview
What the Team is Saying
What We Do
Tune into the innovation, collaboration and culture that our team members bring to the office every day. We want you to be a part of our journey to build the next generation of technology that transforms the way the world communicates. Our team members are the key to our history of groundbreaking innovation and our continued progress. If you bring an inquisitive curiosity, a sense of pride in your work, an openness to adventure and a drive to win, we’ll provide the structure to take the next step in your career. This is more than just another job, this is your launchpad to achieve your potential and a community dedicated to your growth.
Why Work With Us
At EchoStar, we work to create opportunity and cultivate an environment where people thrive. Between our brands, our partners, our teams and our customers, the opportunities are endless. Get started on your next career adventure with EchoStar!
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EchoStar Offices
OnSite Workspace
All team members are in person at one of our locations across the globe. We proudly call Colorado home with several corporate offices in the Denver-Metro area and 4,000+ team members in the Denver-Metro area.
