AI Solution Architect
Why This Role Stands Out
This hybrid role offers an exciting opportunity to architect cutting-edge Generative AI solutions for a leading banking client, leveraging your extensive experience in AI/ML and LLMs to drive innovation. You'll thrive here if you're a seasoned architect passionate about shaping the future of AI and eager to collaborate on enterprise-scale projects. Apply today to make a significant impact and advance your career in a flexible work environment.
Quick Overview
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
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