
Sr Engineer - AI & Automation
Greenwood Village, COJob$96–138K/yrSeen 3w agoSeen in employer's feed 3 days ago
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Job overview
The Sr Engineer - AI & Automation will modernize Third Party Risk Management by building secure generative AI platforms, predictive security models, and automation pipelines. The role transforms unstructured vendor-risk data into forecasts and dashboards, supporting proactive security decisions and broader Governance, Risk, and Compliance work. The engineer will also develop agentic workflows and safeguards to automate vendor reviews while reducing LLM hallucinations.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Salary: $96250 - $137500/Yearly
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.
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):
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Build secure, LLM-driven platforms and pipelines tailored specifically for Third Party Risk Management and broader Governance, Risk, and Compliance use cases
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Develop predictive security models and risk forecasting analytics to evaluate compliance telemetry, audit logs, and threat signals
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Architect live interactive dashboards that consolidate decentralized security data and automate executive compliance reporting
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Implement secure AI pipelines using advanced RAG, chunking, and vector storage for complex, unstructured data parsing
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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):
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AI Application expertise in building, integrating, and securing LLM platforms, vector databases, and RAG architectures
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Strong data interpretation and visualization skills to build live dashboards using Power BI, Tableau, Streamlit, or custom frameworks
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Ability to apply predictive modeling and quantitative risk management methodologies like the FAIR framework
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Solid understanding of standard compliance frameworks such as NIST CSF, ISO 27001, SOC 2, and HIPAA
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Proficiency in Python for developing AI/ML pipelines, API integrations, and continuous evidence-collection models
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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:
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Minimum Education: Bachelor’s degree in Computer Science, Information Technology, related discipline, or commensurate industry experience
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Minimum Experience: 5+ years of experience in Software Engineering, Security Automation, GRC Systems Engineering, or Data Engineering
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Required Technical Skills: Must have at least 3 years of experience with:
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Hands-on GENAI development, modeling, LLM integration, and security
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LLM evaluation tools and frameworks such as Ragas, TruLens, or LangSmith
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Python programming for AI/ML pipelines, automation, and API integrations
Visa sponsorship not available for this role
Benefits
We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.
This job posting will be active for a minimum of 3 days and 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. If you have questions regarding your application or the recruitment process please email [email protected] .
Click the links to access the following statements: EEO Policy Statement (https://www.echostar.com/content/dam/echostar/files/EEO%20Policy%20Statement.pdf) , Pay Transparency (https://www.echostar.com/content/dam/echostar/files/Pay%20Transparency%20Nondescrimination%20Provision.pdf) , EEOC Know Your Rights (English (https://www.echostar.com/content/dam/echostar/files/EEOC%20Know%20Your%20Rights.pdf) /Spanish (https://www.echostar.com/content/dam/echostar/files/EEOC%20Know%20Your%20Rights%20%28Spanish%29.pdf) )
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