Principal AI Platform Engineer

About the role

A hands-on engineering leadership role focused on AI platforms, large language models (LLM), and orchestration, with strong IAM/PAM alignment.

Key Skills & Background

• Proficiency with C programming language and Unix/Linux systems
• Knowledge of cryptography, authentication, and authorization concepts
• Experience working in secured enterprise environments
• Agile development teams
• Engineering skills in Python and Perl development
• Ability to communicate technical concepts to business stakeholders
• Strong collaboration and independent execution capabilities
• Contributions to Linux/Unix/open-source projects are valued
• Knowledge of Kerberos (preferred)

Core Responsibilities

• AI / LLM Platform Engineering Lead
• Hands-on development of AI-enabled and LLM-based applications
• Build agentic and multi-agent systems
• Design and implement orchestration architectures including function invocation, state and memory management, policy-aware execution
• AI Engineering & Integration
• Develop intelligent agent workflows using prompt design, grounding strategies, tool orchestration layers
• Own full-stack AI system architecture APIs, data pipelines, model serving, and observability
• Ensure performance, scalability, and reliability across environments
• Security & Governance
• Drive reviews, mentoring, and best practices for AI engineering

Required Skills

• Hands-on platform engineering experience, end-to-end
• Deep expertise in LLMs and model lifecycle, prompt engineering and grounding
• Hallucination mitigation
• Strong system design experience, including multi-agent architectures, distributed systems
• Cloud-native development

Key Technologies / Areas

• LLM frameworks and orchestration
• Cloud platforms and APIs
• Distributed systems design
• AI governance framework