HIRING NOW | CLOUD / AI ARCHITECT AGENTIC AI
We are looking for an experienced Cloud/AI Architect to design and build enterprise-grade Agentic AI systems and define the architecture standards for scalable, secure, and production-ready AI solutions.
Location: Stamford, CT
Duration: 12 Months
Engagement: 1099 or W2
Visa: / GC
Role: Cloud/AI Architect Agentic AI
This role will focus on architecting scalable AI solutions using AWS Agent Core, Google Cloud Platform Vertex AI, and other cloud-native AI services.
You will help define the technical strategy for how enterprise teams build, deploy, govern, and scale autonomous AI agents and knowledge retrieval systems.
Architect and implement Agentic AI pipelines involving multi-step reasoning, tool usage, orchestration, and autonomous workflows.
Build enterprise-grade RAG (Retrieval-Augmented Generation) systems, including data ingestion, chunking strategies, embedding pipelines, vector stores, and retrieval optimization.
Define cloud architecture patterns for AI workloads covering compute, storage, networking, security, scalability, and cost optimization.
Evaluate and select LLM providers, AI orchestration frameworks, and vector databases based on enterprise requirements.
Work with technologies/frameworks such as AWS Agent Core, Google Cloud Platform Vertex AI, LangChain, LangGraph, CrewAI, Bedrock Agents, and equivalent platforms.
Work with vector databases and search technologies such as OpenSearch, Pinecone, pgvector, or equivalent solutions.
Collaborate with Data Engineering, Security, Cloud, Platform, and Engineering teams to ensure enterprise AI solutions meet scalability, reliability, security, and compliance standards.
Develop reusable architecture blueprints, reference architectures, and implementations for Agentic AI and RAG use cases.
Provide technical leadership and mentorship to engineering teams implementing AI solutions.
Evaluate emerging cloud AI services and recommend adoption where they provide measurable business value.
Translate business requirements into scalable, secure, and production-ready AI architectures.
Experience designing and implementing Agentic AI / Autonomous AI systems
Strong experience with AWS and/or Google Cloud Platform cloud architecture
Hands-on experience with RAG architecture and enterprise knowledge retrieval
Experience with LLMs, prompt engineering, embeddings, vector databases, and AI orchestration
Experience with LangChain / LangGraph / CrewAI / Bedrock Agents / Vertex AI or equivalent frameworks
Experience designing enterprise AI infrastructure covering security, networking, compute, storage, scalability, and cost optimization
Experience establishing Agentic AI governance frameworks, including guardrails, audit trails, autonomy limits, and responsible AI controls
Exposure to multiple LLM providers and the ability to determine which model/provider is appropriate for different use cases
Experience building reusable AI platforms, infrastructure patterns, or architecture frameworks adopted across multiple teams
Strong stakeholder management, communication, architecture, and technical leadership skills
This is more than a traditional architecture position.
You will have the opportunity to:
Influence how AI is built and deployed across the enterprise
Establish reusable standards and architecture patterns for Agentic AI
Solve complex, open-ended AI architecture challenges
Help define enterprise approaches to RAG, AI agents, governance, and LLM adoption
Work toward becoming a key technical leader for Agentic AI architecture
If you are an experienced Cloud/AI Architect, GenAI Architect, AI Solutions Architect, or Agentic AI Architect looking for your next opportunity, please DM me your updated resume.
