GenAI Solution Architect

IRIS SOFTWARE
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Chicago, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Program Optimization
Data Architecture
Data Integration
Performance Tuning
Cloud Services
TensorFlow
Azure
Software Engineering
Large Language Models
Multi-Agent Systems
Prompt Engineering
IT Architecture
Generative AI
Machine Learning Operations
Virtual Agents
GPT
Data Pipelines

Job description

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., 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.

Requirements

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

About the company

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

Apply for this position