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IAM SailPoint for AI Platform (PAM-Focused)

Saransh Inc


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 10 June 2026 (30+ days ago)
Application Deadline: 7 September 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

IAM / SailPoint for AI / Platform (PAM-Focused)
NYC NY / Alpharetta GA (Onsite)
Contract
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