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Ai Engineer Architect Jobs (NOW HIRING)

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

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 ...

Apex Systems

AI Engineer

Los Angeles, CA · On-site

Job#: 3040307 AI Engineer Role Overview We are seeking an AI Engineer / Architect for a high-impact ... Lead architecture and development of enterprise platforms, including authorization and asset ...

New

Thales

Senior AI Engineer

Orlando, FL · On-site

$95K - $131K/yr

Orlando, United States of America Thales people architect solutions that enable two-thirds of ... Senior AI Engineer Orlando, FL (Hybrid) Position Summary Thales is looking for a Senior AI Engineer ...

Cantor Fitzgerald Securities

AI Engineer

Manhattan, NY · On-site

$300K - $350K/yr

As an AI Engineer, you will have the opportunity to mentor other engineers, raise the team's AI ... Architect reliable AI application patterns with human-in-the-loop controls and monitoring.

New

Elevance Health

Distinguished AI Engineer

Chicago, IL · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Elevance Health

Distinguished AI Engineer

Norfolk, VA · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Cantor Fitzgerald Securities

AI Engineer

Manhattan, NY

$300K - $350K/yr

Your expertise will be instrumental in developing agentic AI workflows, evaluating LLM-powered systems, and contributing to our technical strategy and architectural decisions. As an AI Engineer, you ...

New

Elevance Health

Distinguished AI Engineer

Seattle, WA · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Elevance Health

Distinguished AI Engineer

Woburn, MA · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Elevance Health

Distinguished AI Engineer

Atlanta, GA · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Elevance Health

Distinguished AI Engineer

Tampa, FL · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Elevance Health

Distinguished AI Engineer

Miami, FL · On-site +1

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

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All JobsAi Engineer Architect Jobs

Ai Engineer Architect information

How does an AI Engineer Architect typically collaborate with cross-functional teams during project development?

AI Engineer Architects regularly work alongside data scientists, software engineers, product managers, and business stakeholders to design and implement AI-driven solutions. They are responsible for translating complex business requirements into scalable AI architectures, guiding project direction, and ensuring technical feasibility. Collaboration often involves leading technical discussions, conducting code and architecture reviews, and providing mentorship to junior AI engineers. Effective communication and teamwork are essential, as AI Engineer Architects must align AI initiatives with broader organizational goals.

What are AI Engineer Architects?

AI Engineer Architects are professionals who design, develop, and oversee the implementation of artificial intelligence solutions within organizations. They combine expertise in AI technologies, such as machine learning and deep learning, with architectural skills to create scalable, robust, and efficient AI systems. Their responsibilities often include selecting appropriate AI frameworks, ensuring data pipelines are optimized, and collaborating with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals.

How much does an AI architect get paid?

An AI architect typically earns between $120,000 and $180,000 annually, depending on experience, location, and industry. Senior roles with specialized skills in machine learning, deep learning, and cloud platforms can command higher salaries, often exceeding $200,000.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI engineer or architect with extensive experience, advanced skills in machine learning, deep learning, and data science, and often involves leadership responsibilities. Such roles may require advanced certifications, a strong portfolio, and the ability to develop complex AI systems, often in a corporate or research environment.

What are the key skills and qualifications needed to thrive as an AI Engineer Architect, and why are they important?

To thrive as an AI Engineer Architect, you need deep expertise in computer science, machine learning, algorithm development, and system architecture, often supported by advanced degrees and experience in AI project delivery. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or GCP), and relevant certifications (e.g., Google Professional Machine Learning Engineer) is typically required. Strong communication, problem-solving, and leadership skills help you bridge technical and business requirements and guide teams effectively. These skills are crucial for designing scalable, innovative AI solutions that align with organizational goals and drive successful implementation.

What is an AI architect engineer?

An AI architect engineer designs and develops artificial intelligence systems and infrastructure, focusing on creating scalable and efficient AI solutions. They often work with machine learning models, data pipelines, and cloud platforms, requiring skills in programming, data science, and system architecture.

What is the salary of AI engineer architect?

The salary of an AI engineer architect typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles with specialized skills in machine learning, deep learning, and cloud platforms may earn higher compensation.

What is the difference between Ai Engineer Architect vs Data Scientist?

AspectAi Engineer ArchitectData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI architectures, developing models, integrating AI solutionsAnalyzing data, building predictive models, deriving insights
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in AI and machine learning, Ai Engineer Architects focus on designing and implementing AI systems and architectures, whereas Data Scientists analyze data to generate insights and build models. The roles often overlap but differ mainly in scope and responsibilities.

More about Ai Engineer Architect jobs
What cities are hiring for Ai Engineer Architect jobs? Cities with the most Ai Engineer Architect job openings:
What states have the most Ai Engineer Architect jobs? States with the most job openings for Ai Engineer Architect jobs include:
What job categories do people searching Ai Engineer Architect jobs look for? The top searched job categories for Ai Engineer Architect jobs are:
Ai Engineer Architect jobs near you
Infographic showing various Ai Engineer Architect job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Principal AI Engineer

Tenex.AI Inc

San Jose, CA • On-site, Remote

Full-time

Re-posted 3 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!

Apply