1,977,893open jobs
116,733companies
261,763added this week
Browse all
Salary
$127k per year
Location
In office (Littleton)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Sep 12, 2026.

Overview
Company
Impact
Profile match
EchoStar Corporation (Nasdaq: ECHO) is a global fully integrated communications and content delivery leader and provider of technology, spectrum, and connectivity.
Enterprise security infrastructure faces accelerating threats alongside rapid adoption of generative artificial intelligence technologies. This role addresses critical vulnerabilities, architectural gaps, and operational overhead by deploying secure Large Language Model platforms and automated threat workflows across the organization. The position resolves risk management challenges by establishing continuous monitoring, robust governance, and adversarial testing frameworks for artificial intelligence systems. Successful execution ensures robust defense mechanisms while safely enabling advanced automation across security operations.

What Success Looks Like (Objectives):

  • Design, build, and operationalize secure Large Language Model-driven platforms for security analytics, threat detection, third-party risk management, and governance workflows
  • Implement secure data ingestion and retrieval-augmented generation pipelines across structured and unstructured security data sources to improve context retrieval and detection accuracy
  • Develop agentic automation workflows that integrate directly into security tooling to augment security operations center analysts and threat hunters
  • Establish continuous monitoring models to evaluate control effectiveness, risk scoring, detection correlation, model drift, and safety failures
  • Build technical safeguards and controls aligned with enterprise architecture and governance frameworks to protect artificial intelligence systems against prompt injection, unauthorized access, and adversarial abuse
  • Implement adversarial testing routines and technical evaluation protocols to defend against evolving artificial intelligence-augmented tactics, techniques, and procedures

Core Skills, Competencies, and Key Experiences (What you'll bring)

  • Strong technical expertise in building, integrating, and operating enterprise Large Language Model platforms and providers
  • Deep understanding of Retrieval-Augmented Generation architectures, embeddings, vector databases, tokenization, and contextual retrieval patterns
  • Comprehensive knowledge of artificial intelligence security and risk frameworks, including NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS
  • Strong skills in Python or equivalent programming languages for developing artificial intelligence pipelines, automation, and security tooling
  • Proven ability to secure cloud-native systems and automated machine learning pipelines using defense-in-depth principles
  • Artificial intelligence literacy and innovation capability to assess emerging adversarial threats, evaluate model risks, and drive secure technology adoption

Additional Qualifications
  • Familiarity with artificial intelligence governance, drift and safety monitoring, guardrails, and regulated or satellite/telecom security environments

Candidates must be willing to participate in at least one in-person interview.

Minimum Requirements:
  • Minimum Education: Bachelor's Degree in Computer Science, Information Technology, related discipline, or commensurate industry experience
  • Minimum Experience: 3+ years of experience in Security Engineering, Security Architecture, Threat Research, or Detection Engineering; 3+ years in Generative AI development, modeling, integration, and security
  • Required Technical Skills: Must have at least 3 years of experience with:
    • Large Language Model platform integration (e.g., AWS Bedrock, Anthropic, Gemini, OpenAI)
    • Python development for security tooling, pipelines, or automation
    • AI security frameworks and threat modeling (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS)

Visa sponsorship not available for this role

Salary Range

Compensation: $127,050.00/Year - $181,500.00/Year
About Our Department

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.

About Our Company

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.

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 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

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,977,893 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Littleton
≈ $137k – $263k per year (Estimated) • In office • TS/SCI • 15+ years exp • PhD • Laurel
AI/ML
Multimodal AI
AI Agents
Robotics
Perception
Apply
≈ $119k – $231k per year (Estimated) • In office • TS/SCI • 4+ years exp • Bachelor's Degree • Laurel
Python
Java
C++
MATLAB
AI/ML
LangGraph
AutoGen
DVC
LangChain
LoRA
MLFlow
Fine-tuning
Computer Vision
AI Agents
PEFT
NumPy
PyTorch
CrewAI
LLM
Machine Learning
DevOps
Podman
Docker
Windows
Apply
≈ $137k – $262k per year (Estimated) • In office • Top Secret • 6+ years exp • Bachelor's Degree • Laurel
AI/ML
Machine Learning
Apply
≈ $135k – $258k per year (Estimated) • In office • TS/SCI • 5+ years exp • Bachelor's Degree • Laurel
AI/ML
Copilot
Claude Code
Function Calling
AI Agents
OpenAI Codex
LLM Guardrails
DevOps
Linux
Unix
Cybersecurity
Ghidra
Apply
≈ $123k – $239k per year (Estimated) • In office • Top Secret • 3+ years exp • Bachelor's Degree • Laurel
Python
C++
MATLAB
AI/ML
Machine Learning
Apply
$98k – $182k per year • Remote (United States) • Bachelor's Degree • Littleton • Orlando • King of Prussia • Aguadilla • Fort Worth
Python
AI/ML
LangChain
Embeddings
Reinforcement Learning
Cohere SDK
LLM
Time Series
OpenAI
Machine Learning
DevOps
Rest API
GCP
OpenShift
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Apply
Systems Engineer 5 hours ago
$110k – $155k per year • In office • 5+ years exp • Bachelor's Degree • Littleton
Python
Management
Agile
Apply
$28k per year • In office • Full-Time • Littleton
Apply
$40k – $56k per year • In office • Full-Time • Littleton
Apply
≈ $30k – $53k per year (Estimated) • In office • Full-Time • 2+ years exp • Associate's Degree • Littleton
Apply
See all jobs
This is one of many
1,977,893 more open roles from verified company boards, updated every day.