Architect IAM for AI / Platform (PAM-Focused)
Job Description
Company: Della Infotech
Location: New York, US
Hiring Architect IAM for AI / Platform (PAM-Focused)
Location New York City, NY
Onsite(3 Days)
Duration: 6 months
Overview
Hands-on engineering leadership role focused on AI platforms, LLM systems, and orchestration (with strong IAM/PAM alignment).
Key Skills & Background
Proficiency with:
• C programming language
• Unix/Linux systems
• Knowledge of:
• Cryptography
• Authentication & authorization concepts
• Experience working in:
• Secured enterprise environments
• Agile development teams
Engineering Skills
• 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
Platform Ownership
• Own full-stack AI system architecture:
• APIs
• Data pipelines
• Model serving and observability
• Ensure performance, scalability, and reliability across environments
Security & Governance
• 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
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 frameworks
Source: Dice
