Architect IAM for AI / Platform (PAM-Focused)

TekWissen • New York City, NY

2d • Onsite

About The Position

Hands-on engineering leadership role focused on AI platforms, LLM systems, and orchestration (with strong IAM/PAM alignment). This role involves leading hands-on development of AI-enabled and LLM-based applications, building agentic and multi-agent systems, and designing and implementing orchestration architectures. The position also includes developing intelligent agent workflows, owning full-stack AI system architecture, and embedding secure-by-design principles.

Requirements

• Proficiency with C programming language
• Proficiency with Unix/Linux systems
• Knowledge of Cryptography
• Knowledge of Authentication & authorization concepts
• Experience working in Secured enterprise environments
• Experience working in Agile development teams
• Python and Perl development
• Ability to communicate technical concepts to business stakeholders
• Strong collaboration and independent execution capabilities
• Hands-on platform engineering experience end-to-end
• Deep expertise in LLMs and model lifecycle
• Deep expertise in Prompt engineering and grounding
• Deep expertise in Hallucination mitigation
• Strong system design experience including: Multi-agent architectures, Distributed systems, Cloud-native development

Nice To Haves

• Contributions to Linux/Unix/open-source projects are valued
• Knowledge of Kerberos (preferred)

Responsibilities

• 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
• 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
• Embed secure-by-design principles, including: Access controls, Logging and traceability, Explainability, Human-in-the-loop safeguards
• Drive reviews, mentoring, and best practices for AI engineering

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed