Placement Role - Cloud /AI Architect with RAG and Agentic AI with AWS/ Google Cloud Platform Exp (Hybrid) - CT

Project overview

Need

Placement Role: Cloud /AI Architect with RAG and Agentic AI with AWS Experience (Hybrid 1-2 days Onsite/ Week)

(Direct Client)

Project details

Stamford, CT

12-18+ Months

JOB DESCRIPTION:

Cloud/AI Architect to design and build enterprise-grade agentic AI systems. This role will focus on architecting scalable AI solutions using AWS Agent Core or Google Cloud Platform-native AI services, driving the technical strategy for how our organization builds, deploys, and governs autonomous AI agents and knowledge retrieval systems.

Key Responsibilities

Why This Role

Best Regards

Kyle,

Sr. US IT Recruiter

Infinity Tech Group Inc,

12 N Route 17 Suite

• Architect and implement agentic AI pipelines (multi-step reasoning, tool use, orchestration) using AWS Agent Core, Google Cloud Platform Vertex AI, or equivalent frameworks
• Design and build enterprise RAG systems, including data ingestion, chunking strategies, embedding pipelines, vector store integration, and retrieval optimization
• Define cloud architecture patterns for AI workloads compute, storage, networking, security, and cost optimization
• Evaluate and select appropriate LLM providers, orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, Bedrock Agents), and vector databases (e.g., OpenSearch, Pinecone, pgvector)
• Collaborate with data engineering, security, and platform teams to ensure AI solutions meet enterprise standards for scalability, reliability, and compliance
• Build reusable architectural blueprints and reference implementations for agentic AI and RAG use cases across business units
• Provide technical leadership and mentorship to engineering teams implementing AI solutions
• Stay current with evolving cloud AI services and recommend adoption where it drives business value
• Partner with stakeholders to translate business requirements into scalable, production-ready AI architecture
• Experience standing up agentic AI governance frameworks guardrails, audit trails, autonomy limits in a regulated or enterprise environment.
• Exposure to multiple LLM providers and a clear point of view on when to use which.
• Prior work building reusable platform or infrastructure patterns that got adopted org-wide, not just within one team.
• Direct influence over how AI gets built across the company not one team's tool, but the standard everyone else builds on.
• A genuinely open architecture problem, not a maintenance job with a fixed answer key.
• Room to grow into the person others come to for how agentic AI should be done here.
• Start: flexible
• Duration: 18 Months
• Remote: hybrid
• Location: Stamford, CT, US, US

201 Paramus NJ 07652

Kyle K At Infigroup Dotcom

Job Facts: Contract Independent | Contract W2 | 18 Months | Hybrid | Depends on Experience

Skills: Amazon Web Services, Artificial Intelligence, Cloud Computing, Data Engineering, Vertex, LangChain, Google Cloud Platform, AWS, GCP, Orchestration, AI architecture, blueprints, RAG, AI workloads, LLM, LangGraph, CrewAI, Bedrock, Vector Databases, Use Cases, OpenSearch, Pinecone, AI pipelines, GCP Vertex AI, AWS Agent Core, Cloud Architect, AI Architect, Architect

Reference: Dice Id: infnj003 | Position Id: Kyle1577