Senior Third Party Risk Management AI Automation Engineer

Echo Star 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.

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.

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.

• 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

• 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

• Familiarity with GRC tooling like Archer or Service Now and project management platforms like Jira or Smartsheets APIs

• 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, Tru Lens, or Lang Smith
  • Python programming for AI/ML pipelines, automation, and API integrations

Visa sponsorship not available for this role

Compensation: $96,250.00/Year - $/Year

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