Enterprise AI Architect: GenAI & Multi-Agent Systems

Photon; Boston (MA); On-site; USD 180,000 - 260,000; Full time

Job summary

Photon is seeking an Enterprise AI Architect to define, design, and govern end-to-end Generative AI strategies across a global enterprise. You will establish reference architectures for multi-agent systems, enable secure tool usage, and drive scalable RAG pipelines with offshore/onshore collaboration.

The role requires 10–15+ years of software engineering and 4+ years in AI/ML architecture, with hands-on experience in LLMs, vector databases, and cloud AI platforms.

Qualifications

• 10–15+ years of software engineering experience, including 4+ years leading AI/ML architecture and complex system design.
• Production experience architecting and scaling Agentic AI systems, Multi-Agent Workflows, and Enterprise RAG pipelines.

Responsibilities

• Define enterprise reference architectures for multi-agent systems, agentic orchestration, distributed memory, and advanced hybrid RAG pipelines.
• Drive technology evaluation, selection, and trade-off analysis across LLMs, vector databases, orchestration frameworks, and cloud AI platforms.
• Design multi-tenant, enterprise-scale AI platforms supporting agent-to-agent communication, secure tool use, and long-running asynchronous workflows.
• Lead total cost of ownership, latency, and token optimization strategies across all business units.
• Establish enterprise-wide AI governance, security, and safety blueprints (PII masking, red teaming, prompt injection protection, dynamic access controls).
• Standardize LLMOps and Observability platforms—defining metrics for evaluation, tracing, drift monitoring, hallucination prevention, and unit costs.

Job description

Photon is seeking an Enterprise AI Architect to define, design, and govern end-to-end Generative AI strategies across a global enterprise. You will establish reference architectures for multi-agent systems, enable secure tool usage, and drive scalable RAG pipelines with offshore/onshore collaboration.

The role requires 10–15+ years of software engineering and 4+ years in AI/ML architecture, with hands-on experience in LLMs, vector databases, and cloud AI platforms.