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Cyber Security Ai Engineer Jobs (NOW HIRING)

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

Our team is composed of industry experts with deep experience in cybersecurity, automation and AI ... As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing ...

9th Way Insignia

AI Engineer

Our specialties include cybersecurity, cloud modernization, software development, data analytics ... Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering ...

Ampcus Inc

AI Engineer

We are looking for a highly skilled AI Engineer with expertise in Python and Large Language Models (LLMs) to design and implement AI-driven solutions for enhancing cybersecurity automation.

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Job Specs - AI Engineering Lead About this role Wells fFargo is seeking a AI engineering Lead in ... Cybersecurity controls * Model risk management * Compliance requirements in regulated financial ...

9th Way Insignia

AI Engineer

OR · On-site +1

The work involves applying established cybersecurity standards, guidelines, and frameworks to help ... Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering ...

OpenAI

Applied AI Engineer, Cyber

New York, NY · On-site

$266K - $362K/yr

About the team The Applied AI Engineering team is responsible for helping developers and ... Cybersecurity is one of the most urgent domains where AI can help. Security teams are under ...

PTR Global

AI Engineer

Charlotte, NC · On-site

Collaborate with architecture, data, cybersecurity, risk, and control teams to support enterprise adoption. * Develop reusable AI engineering patterns for future Treasury initiatives. Required ...

Pinnacle Technical Resources

AI Engineer

Charlotte, NC · On-site

$95K - $130K/yr

Collaborate with architecture, data, cybersecurity, risk, and control teams to support enterprise adoption. Develop reusable AI engineering patterns for future Treasury initiatives. Required ...

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Cyber Security Ai Engineer information

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How much do cyber security ai engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for cyber security ai engineer in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Cyber Security Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, 1% Temporary, and 2% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $122,890 per year, or $59.1 per hour.

Principal AI Engineer

San Jose, CA • On-site, Remote

Tenex.AI Inc
See more jobs at Tenex.AI Incexternal

Full-time

Re-posted 5 days ago

Job description

Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation.
Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
  • Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
  • Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
  • Own evaluation & reliability-from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies.
  • Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
  • Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
  • Push the frontier-experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.

Required Skills & Qualifications
  • Software Engineering & Architecture Expertise
    • 10+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
    • Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows.
    • Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
    • Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
    • Strong fundamentals in API design (REST/gRPC) and distributed systems.
    • Clear, concise communication skills and a bias for collaborative problem-solving.
  • Nice-to-have
    • Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
    • Experience with graph databases or security-focused knowledge graphs.
    • Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
    • Background leading teams in high-growth startups or enterprise SaaS.
  • Soft Skills
    • Strong problem-solving and analytical skills.
    • Excellent communication and leadership abilities.
    • Ability to mentor and influence engineering teams.
    • Passion for cybersecurity and automation.

Education & Certifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.
Why Join Us?
  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
  • Collaborate with a talented and innovative team focused on continuously improving security operations.
  • Competitive salary and benefits package.
  • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!

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