AI Architect leading development of AI/ML solutions for healthcare and biotech. Engaging with generative AI, MLOps, and cloud integrations in a collaborative environment.
About the role
- Principal AI Engineer designing and optimizing AI systems at TENEX for advanced cybersecurity solutions. Mentoring teams and driving technical innovation in a hybrid setup.
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.
Requirements
- 10+ years of experience in software development
- Expertise in software engineering and architecture
- Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows
- Hands-on experience building agents, orchestration frameworks, and evaluation harnesses
- Strong understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems
- Strong fundamentals in API design (REST/gRPC) and distributed systems
- Passion for cybersecurity and automation.
- 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.
Benefits
- Competitive salary
- A culture of growth and development
- Opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Principal AI Engineer at TENEX designing and optimizing scalable AI systems for cybersecurity solutions and mentoring teams in a hybrid workplace.
Senior AI Developer at Autodesk, leveraging LLMOps and AgentOps to create AI applications. Collaborating with diverse teams to optimize data and deployment pipelines in a hybrid - remote setting.
AVP AI Engineering & Delivery leading AI development initiatives within the Technology Leadership team at Canada Life. Fostering AI - first thinking and collaboration across business and technology teams.
Senior AI Engineer designing AI - driven applications at CVS Health. Seeking passionate individuals to innovate in digital health care.
Senior AI Engineer leading the development of LLM - powered products for marketing and advertising technologies. Collaborating with cross - functional teams to design and enhance AI - driven solutions.
Software Developer at Caseware developing a reusable agentic AI platform for financial professionals. Collaborating on AI research and cloud architecture to enhance product functionalities.
Staff AI Engineer position at Bluefish AI, shaping LLM - powered products in marketing technology through technical leadership and multi - team collaboration.
AI Lead defining, shaping, and delivering AI - powered robotic systems at Sunrise Robotics. Leading a multidisciplinary team in the development and deployment of intelligent robotics solutions.
Software Development Leader responsible for developing core AI Services for AVEVA's Industrial Intelligence Platform. Leading a team to create scalable and secure AI solutions for global markets.