AI Architect

Shree Narayani Networking Solutions Pvt Ltd; New York (NY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Shree Narayani Networking Solutions Pvt Ltd in New York City seeks an AI Architect at Principal/Staff level to own agent architecture, orchestration, and the trust/autonomy boundary. You will decide when an agent acts versus when to defer to a human, and scale multi-agent systems to production.

The role requires 7–8 years total experience with 3–4 years hands-on shipping autonomous AI systems; direct ownership of core architecture; experience at AI-native scale-ups or with major players.

Qualifications

• 7-8 years overall experience, with at least 3-4 years recent, hands-on work building and shipping an agentic or autonomous AI system in production.
• Direct ownership of core architecture - not a contributor on someone else’s design.
• Experience at a company like Meta, NVIDIA, AWS, or Google/Gemini (or equivalent AI-native scale-up).
• Experience building evaluation systems that proved the agent was reliable enough to run with real autonomy.

Skills

7-8 years exp

Agentic AI systems

Architecture ownership

Autonomous AI systems

Tools

Evaluation systems

Job description

Hybrid/Onsite in NYC
2yrs Duration

Job Description:
AI Architect - Principal/Staff Engineer, Agentic AI Systems
Why: Client's AIOps team needs someone who owns agent architecture, orchestration, and the trust/autonomy boundary - deciding when an agent acts vs. defers to a human. The need is for someone who has taken multi-agent or autonomous AI systems from prototype to production at real scale - a system that makes decisions and takes actions, not a chatbot wrapper.
Must Have:

• 7 8 years overall experience, with at least 3 4 years recent, hands-on work building and shipping an agentic or autonomous AI system in production
• Direct ownership of core architecture - not a contributor on someone else's design
• Experience at a company like Meta, NVIDIA, AWS, or Google/Gemini (or equivalent AI-native scale-up)
• Experience building evaluation systems that proved the agent was reliable enough to run with real autonomy

Preferred:

• Exposure to a regulated or mission-critical environment (finance, healthcare, infra)