Senior Third Party Risk Management AI Automation Engineer

EchoStar•Centennial, CO

8d•Onsite

About The Position

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.

Requirements

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
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
Hands-on GENAI development, modeling, LLM integration, and security (at least 3 years of experience)
LLM evaluation tools and frameworks such as Ragas, TruLens, or LangSmith (at least 3 years of experience)
Python programming for AI/ML pipelines, automation, and API integrations (at least 3 years of experience)

Nice To Haves

Familiarity with GRC tooling like Archer or ServiceNow
Familiarity with project management platforms like Jira or Smartsheets APIs

Responsibilities

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