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AI Solution Architect

IRIS Software, Inc.Chicago, IL🇺🇸United StatesPosted 6 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Hi , We have a AI Architect role with Iris's Banking client in Chicago IL its Hybrid 2 days from office

Job Description: GenAI Solution Architect (AI)

Position Title

GenAI Solution Architect

Location

Flexible / Hybrid / Remote

Experience

15+ Years (with 3 5+ years in AI/ML, Generative AI)

Job Summary

We are seeking an experienced GenAI Solution Architect to lead the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will possess strong expertise in AI/ML, Large Language Models (LLMs), cloud platforms, data architecture, and software engineering. The role involves collaborating with business stakeholders, product teams, and engineering teams to build innovative AI-powered solutions that drive business value.

Key Responsibilities

Solution Architecture & Design

  • Design end-to-end Generative AI solutions aligned with business objectives.
  • Define scalable, secure, and resilient AI architecture patterns.
  • Lead AI transformation initiatives and solution roadmaps.
  • Evaluate and recommend suitable AI/ML frameworks, models, and cloud services.

Generative AI Development

  • Architect applications utilizing:
    • Large Language Models (GPT, Claude, Gemini, Llama, Mistral)
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI Frameworks
    • Prompt Engineering
    • Vector Databases
    • Fine-tuning and Model Optimization
  • Design multi-agent AI systems and AI copilots.

Cloud & Data Integration

  • Build AI solutions using Azure AI Services, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Integrate enterprise data sources, APIs, and knowledge repositories.
  • Design data pipelines supporting AI model deployment and monitoring.

Governance & Security

  • Implement Responsible AI principles and governance frameworks.
  • Ensure compliance with security, privacy, and regulatory requirements.
  • Establish model monitoring, explainability, and risk management practices.

Stakeholder Management

  • Work closely with business leaders to identify AI use cases.
  • Translate business requirements into technical architectures.
  • Present AI solutions to executive leadership and clients.

Delivery & Innovation

  • Provide technical leadership throughout project execution.
  • Evaluate emerging AI technologies and industry trends.
  • Mentor engineering teams on AI best practices and architecture standards.
Thanks and Regards,
Rajneesh Bhardwaj
Iris Software
200 Metroplex Drive, Suite #300, Edison, NJ 08817

Skills

AWS
Azure
GPT
Generative AI
Stakeholder Management

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