AI Solution Architect_Boston

Photon • United States,

6d • $64,000 - $224,000 • Onsite

About The Position

We are seeking an Enterprise AI Architect to define, design, and govern our end-to-end Generative AI, multi-agent system, and enterprise RAG strategy. In this strategic technical leadership role, you will define the reference architectures, toolings, evaluation frameworks, and guardrails necessary to scale production-grade AI agents, intelligent copilots, and knowledge platforms across the global enterprise. Success looks like: Scalable reference architectures, low total cost of ownership (TCO) model selection, robust AI governance and guardrail frameworks, and seamless enterprise integration blueprints executed reliably across onshore/offshore teams.

Requirements

• 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 using Python, LangChain/LangGraph, LlamaIndex, or native SDKs.
• Deep knowledge of LLM internals, prompt engineering strategies (CoT, ReAct, Reflexion), fine-tuning vs. RAG trade-offs, and embedding space dynamics.
• Extensive experience with cloud AI infrastructure across at least one major platform (Azure OpenAI, AWS Bedrock, or Google Vertex AI).
• Hands-on expertise with vector search ecosystems (Pinecone, Qdrant, OpenSearch, pgvector) and hybrid search/reranking architectures.
• Proven track record architecting secure API services, event-driven architectures (Kafka/RabbitMQ), and asynchronous microservices.
• Architectural Vision: Ability to balance cutting-edge GenAI innovation with enterprise stability, cost-efficiency, and risk mitigation.
• Executive Communication: Skill in translating complex technical concepts into clear strategic roadmaps for executive stakeholders.
• Technical Mentorship: Demonstrated ability to guide, upskill, and review the architectural output of distributed senior engineering teams.

Nice To Haves

• Hands-on expertise in enterprise security frameworks, IAM, RBAC, and data privacy regulations (SOC2, GDPR, HIPAA) as applied to GenAI.
• Strong background in traditional ML, NLP, continuous evaluation frameworks (Ragas, TruLens, DeepEval), and CI/CD for LLMs.
• Container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform).
• Experience implementing agentic memory layers (Redis, graph databases, episodic/semantic memory stores).

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 (proprietary vs. open-source), vector databases, orchestration frameworks (LangChain/LangGraph, AutoGen, CrewAI), 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 (TCO), 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 org-wide metrics for evaluation, tracing, drift monitoring, hallucination prevention, and unit costs.
• Architect seamless integration patterns for core enterprise systems (Salesforce, SharePoint, Confluence, ERP/CRM systems, SQL/NoSQL databases) into agentic platforms.
• Partner with Senior Agentic AI Engineers, Data Scientists, Security Officers, and Business Executives to translate high-level business drivers into technical blueprints.
• Establish development standards, design patterns, code review guidelines, and best practices for global offshore/onshore engineering groups.

Benefits

• Medical, vision, and dental benefits
• 401k retirement plan
• variable pay/incentives
• paid time off
• paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed