Generative AI Solution Architect - W2 only

Job Title: Generative AI Solution Architect
Work Location: Naperville, IL & Chicago, IL
Working Location: Chicago (must be able to go into office)
Work Model: Hybrid On Site 3 4 Days Per Week
Duration: 6 Months
Skills & Tools: Generative AI, AI Solution Architecture, SaaS-based AI Platforms, Large Language Models (LLMs), NLP, RAG Solutions, Agentic AI, TensorFlow, PyTorch, Hugging Face, Amazon Bedrock, Gen AI Models, AWS, Azure, Google Cloud Platform, Cloud-Native Architecture, API Design, Microservices, Docker, Kubernetes, CI/CD, Enterprise Architecture, iServer, Data Architecture, Data Lakes, Data Pipelines, Banking Domain, Fraud Detection, Predictive Analytics, Conversational AI, AI Governance, Ethical AI, GDPR, FFIEC, Stakeholder Management

Role Overview:
We are seeking an experienced AI / Generative AI Solution Architect to lead the design and implementation of cutting-edge AI solutions within the banking domain. The ideal candidate will have deep expertise in SaaS-based AI platforms, cloud-native architectures, and hands-on experience in developing and deploying AI/Gen AI models that drive innovation in customer experience, operational efficiency, and risk management.

Preferred Qualifications:
Experience with AI governance frameworks and ethical AI practices.
Familiarity with financial risk modeling, fraud detection, and customer personalization.
Certifications in AI/ML or cloud architecture (AWS Certified Solutions Architect, Azure AI Engineer, etc.).

Key Responsibilities:
Solution Architecture & Design
o Define and design scalable AI/Gen AI architectures for banking applications, including conversational AI, predictive analytics, fraud detection, and personalized financial services.
o Create detailed architecture diagrams and documentation using tools like i-Server or similar (experience is a plus).
o Develop reference architectures and best practices for integrating AI solutions into core banking systems and digital channels.
AI/Gen AI Development
o Lead the development and deployment of AI/Gen AI models (e.g., LLMs, NLP, RAG solution, Agentic AI Solution) tailored for banking use cases.
o Collaborate with data scientists, Other Architecture domain (Enterprise, Security) and Stakeholders to optimize model performance and ensure compliance with regulatory standards.
SaaS & Cloud Integration
o Architect solutions leveraging SaaS-based AI platforms and cloud services (AWS, Azure, Google Cloud Platform) for scalability and security.
o Ensure seamless integration with existing banking systems and APIs.
Governance & Compliance
o Implement AI governance frameworks addressing ethical AI, data privacy, and regulatory compliance (e.g., GDPR, FFIEC).
o Secure TDRC and ARB approvals for all solution designs and deployments.
Stakeholder Engagement
o Partner with business leaders to identify AI opportunities and translate them into technical solutions.
o Provide thought leadership and technical guidance to cross-functional teams.
Innovation & Roadmap
o Stay ahead of emerging AI/Gen AI trends and evaluate new technologies for banking applications.
o Drive the AI strategy and roadmap aligned with business objectives.
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Experience:
o 8 years in solution architecture with at least 3 years focused on AI/ML and Generative AI.
o Proven experience in designing and deploying SaaS-based AI solutions in enterprise environments.
o Experience on benchmark on multiple SaaS AI solution / Gen AI Models.
o Hands-on experience / deep understanding with developing AI/Gen AI models, including LLMs and RAG solution frameworks.
o Strong experience in creating architecture diagrams and solution documentation.
Technical Skills:
o Expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, RAG solutions, Bedrock, Gen AI Models).
o Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and SaaS AI offerings.
o Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
o Familiarity with iServer or similar enterprise architecture tools (is a plus).
o Candidate should have prior experience of Data Architecture building Data lake, data pipeline at scale.
Domain Knowledge:
o Deep understanding of banking processes (deposit, cards, lending, operations, collections etc), regulatory requirements, and security standards.
Soft Skills:
o Excellent communication and stakeholder management skills.
o Ability to translate complex technical concepts into business value.
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Required Qualifications:
Education: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field.

Thanks & Regards, John Wilson
Senior Technical Recruiter