Senior Third Party Risk Management AI Automation Engineer

EchoStar; Englewood, Northern (CO, KY); Hybrid; USD 96,000 - 138,000; Full time

Benefits offered by this job

Health perks

401(k) Plan with company match

ESPP

Job summary

EchoStar Corporation is seeking an AI Automation Engineer to modernize and scale Third Party Risk Management processes within Information Security. The role focuses on building secure GenAI models, predictive analytics, and real-time automation pipelines to centralize compliance telemetry and enable proactive security decisions.

The position emphasizes resilient AI architectures, live dashboards, and guardrails to mitigate LLM hallucinations while expanding to broader Governance, Risk, and

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent industry experience.
• 5+ years in Software Engineering, Security Automation, GRC Systems Engineering, or Data Engineering.
• 3+ years hands-on GENAI development, LLM integration, and security expertise.

Responsibilities

• Build secure, LLM-driven platforms and pipelines for Third Party Risk Management and GRC use cases.
• Develop predictive security models and risk forecasting analytics from logs and threat signals.
• Create live interactive dashboards consolidating security data and enabling executive reporting.
• Implement secure AI pipelines using RAG, chunking, and vector storage for unstructured data parsing.
• Deploy guardrails to automate vendor risk reviews and reduce LLM hallucinations.

Skills

LLM platforms

Data visualization

Predictive modeling

Compliance frameworks

Python for AI/ML

Cloud-native data pipelines

Education

Bachelor's degree in CS/IT

Tools

Archer

ServiceNow

Jira

Smartsheets

Job description

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.

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 [e-mail] 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)