AWS GenAI Architect – Agentic AI

Hybrid in New York, NY, US • Posted 23 hours ago • Updated 23 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Testing
  • Generative Artificial Intelligence (AI)
  • Process Mapping
  • Communication
  • API
  • Amazon Web Services
  • Artificial Intelligence
  • Customer Facing
  • Evaluation
  • Orchestration
  • Program Management
  • Software Design
  • Workflow

Summary

Role: AWS GenAI Architect – Agentic AI

 

 

Looking for local candidates in Mountain View, CA or Manhattan, NY, or candidates who are ready to relocate to either location.

The selected candidate must be available to work from the customer location Tuesday to Thursday. Travel expenses will be covered by the customer, where applicable.

Role Overview

We are looking for a hands-on AWS GenAI Architect to work directly with customer business and technical teams to convert ambiguous business problems into production-ready AI agents and agentic workflows.

This is a hands-on builder role involving discovery, solution design, development, deployment, testing, and continuous refinement. Candidates who have primarily worked in advisory, high-level architecture, or program management without hands-on development will not be a fit.

Must-Have Skills

1. Agent Engineering

·        Hands-on experience building Agentic AI / AI Agents

·        Strong experience with LangGraph, CrewAI, or similar agent/workflow orchestration frameworks

·        Building autonomous, multi-step agent workflows

·        Tool/API integration and tool contract design, including input/output handling and failure scenarios

·        Strong RAG / retrieval engineering experience for accurate context injection

·        Experience implementing observability, security, reliability, and guardrails for production AI solutions

2. AI Workflow Design & Delivery

·        Hands-on experience designing, building, and deploying GenAI/agentic workflows

·        Ability to conduct discovery workshops with business and technical stakeholders

·        Current-state process mapping and identification of AI/automation opportunities

·        Agent testing, troubleshooting, evaluation, and iterative refinement based on requirements and user feedback

·        Strong customer-facing communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90970970
  • Position Id: 9141528
  • Posted 23 hours ago
Contact the job poster
Shaik Saleem

Shaik Saleem

Recruiter @ ARK Infotech Spectrum

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