Role : Principal AI Platform Engineer
Location: New York City, NY / Alpharetta, GA (Hybrid)
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 framework
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