AI Architect

Photon; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Photon is seeking an AI Architect to lead the design of LLM-powered workflows, including briefing, enrichment, signals and pitch preparation. The role covers creating a hybrid compute strategy with on-device AI kits and server-side LLM supporting production environments onsite in Jersey City, NJ or New York, NY.

The candidate will establish guardrails for accuracy, safety against hallucinations, and governance compliance, while ensuring seamless enterprise integration with CRM APIs, mobile apps,

Qualifications

• Strong expertise in LLMs, NLP, embeddings, multi-step reasoning.
• Prior experience building/architecting AI systems in production
• Understanding of PII handling, governance, and secure AI practices
• Ability to optimize latency and model performance for mobile contexts

Responsibilities

• Architect LLM-powered workflows (briefing, enrichment, signals, pitch prep).
• Design hybrid compute strategy: on-device AI kit; server-side LLM
• Establish guardrails for accuracy, hallucination safety, and compliance alignment
• Ensure enterprise integration with CRM APIs, mobile, and backend systems

Skills

LLMs & NLP

Production AI systems

PII governance

Latency optimization

Job description

We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.

Designation: AI Architect

Location: Jersey City, NJ or New York, NY (Onsite)

Job Summary:

• Architect LLM-powered workflows (briefing, enrichment, signals, pitch prep)
• Design hybrid compute strategy: on-device AI (AI Kit); server-side LLM
• Establish guardrails for accuracy, hallucination safety, and compliance alignment
• Ensure enterprise integration with CRM APIs, mobile, and backend systems

Must-Have Skillsets

• Strong expertise in LLMs, NLP, embeddings, multi-step reasoning.
• Prior experience building/architecting AI systems in production
• Understanding of PII handling, governance, and secure AI practices
• Ability to optimize latency and model performance for mobile contexts