AI Architect (Agentic AI / RAG)

CLPS Global; New York (NY); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Onsite role in NY/NJ

Job summary

CLPS Global seeks an experienced AI Architect (Agentic AI / RAG) for onsite roles in NY/NJ. You will architect scalable agentic AI systems, oversee design-to-code, and drive evaluation of multi-agent workflows.

Role requires 15+ years of experience, collaboration with cross‑functional teams, and governance across cloud platforms such as AWS and Google Cloud Platform, with enterprise security patterns in mind.

Qualifications

• Experience in designing agentic AI systems at scale.
• Familiarity with retrieval-augmented reasoning and knowledge graphs.
• Experience with cloud platforms and secure architecture patterns.

Responsibilities

• Lead agentic AI architecture design and governance across projects.
• Oversee end-to-end design-to-code and testing with cross‑functional teams.
• Collaborate with clients and stakeholders on architecture decisions.

Skills

AI architecture

RAG (retrieval augmented)

Prompt engineering

Security architecture

Job description

Job Description:

Role - AI Architect (Agentic AI / RAG)

Location - NY and NJ (Onsite - Locals Preferred)

Mode of Interview: Both Video and in-person

Employment Type: Full-time

Experience: 15+ years

Key Responsibilities:

• Agentic AI architecture; spec-driven development; agent harness design and evaluation; multi-agent orchestration patterns; Retrieval-Augmented Reasoning; semantic enrichment and knowledge graph integration; prompt engineering; identity-as-code and policy-as-code; design-time and runtime governance; cloud platforms (AWS and Google Cloud Platform); enterprise security architecture patterns.
• End-to-end agentic AI architecture, design-to-code conversion, security-platform architecture patterns, hands-on review across AWS and Google Cloud Platform, alignment with enterprise standards.
• Build the supervisor, intake, and data-source-level agents; implement React-pattern reasoning loops; design and tune the retrieval pipeline; lead prompt and evaluation engineering.
• Own architecture and diagrams; collaborate closely with internal cross-functional teams; pair with key client-side technical stakeholders on design decisions; oversee design-to-code conversion and testing; chair architecture review forums.