Generative AI Solution Architect - W2 only

Qualifications

• Working Location: Chicago (must be able to go into office)
• 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
• 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.)
• 8+ years in solution architecture with at least 3+ years focused on AI/ML and Generative AI
• Proven experience in designing and deploying SaaS-based AI solutions in enterprise environments
• Experience on benchmark on multiple SaaS AI solution / Gen AI Models
• Hands-on experience / deep understanding with developing AI/Gen AI models, including LLMs and RAG solution frameworks
• Strong experience in creating architecture diagrams and solution documentation
• Expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, RAG solutions, Bedrock, Gen AI Models)
• Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and SaaS AI offerings
• Proficiency in API design, microservices, and containerization (Docker, Kubernetes)
• Candidate should have prior experience of Data Architecture building Data lake, data pipeline at scale
• Deep understanding of banking processes (deposit, cards, lending, operations, collections etc), regulatory requirements, and security standards
• Excellent communication and stakeholder management skills
• Ability to translate complex technical concepts into business value
• Education: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field

Responsibilities

• Work Model: Hybrid On Site 3 4 Days Per Week
• Solution Architecture & Design
• Define and design scalable AI/Gen AI architectures for banking applications, including conversational AI, predictive analytics, fraud detection, and personalized financial services
• Create detailed architecture diagrams and documentation using tools like i-Server or similar (experience is a plus)
• Develop reference architectures and best practices for integrating AI solutions into core banking systems and digital channels
• AI/Gen AI Development
• Lead the development and deployment of AI/Gen AI models (e.g., LLMs, NLP, RAG solution, Agentic AI Solution) tailored for banking use cases
• Collaborate with data scientists, Other Architecture domain (Enterprise, Security) and Stakeholders to optimize model performance and ensure compliance with regulatory standards
• SaaS & Cloud Integration
• Architect solutions leveraging SaaS-based AI platforms and cloud services (AWS, Azure, Google Cloud Platform) for scalability and security
• Ensure seamless integration with existing banking systems and APIs
• Governance & Compliance
• Implement AI governance frameworks addressing ethical AI, data privacy, and regulatory compliance (e.g., GDPR, FFIEC)
• Secure TDRC and ARB approvals for all solution designs and deployments
• Stakeholder Engagement
• Partner with business leaders to identify AI opportunities and translate them into technical solutions
• Provide thought leadership and technical guidance to cross-functional teams
• Stay ahead of emerging AI/Gen AI trends and evaluate new technologies for banking applications
• Drive the AI strategy and roadmap aligned with business objectives

Full Description

Dice is the leading career destination for tech experts at every stage of their careers.

Our client, Diksha Technologies, is seeking the following.

Apply via Dice today!

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

• Define and design scalable AI/Gen AI architectures for banking applications, including conversational AI, predictive analytics, fraud detection, and personalized financial services.

• Create detailed architecture diagrams and documentation using tools like i-Server or similar (experience is a plus).

• Develop reference architectures and best practices for integrating AI solutions into core banking systems and digital channels.

AI/Gen AI Development

• Lead the development and deployment of AI/Gen AI models (e.g., LLMs, NLP, RAG solution, Agentic AI Solution) tailored for banking use cases.

• Collaborate with data scientists, Other Architecture domain (Enterprise, Security) and Stakeholders to optimize model performance and ensure compliance with regulatory standards.

SaaS & Cloud Integration

• Architect solutions leveraging SaaS-based AI platforms and cloud services (AWS, Azure, Google Cloud Platform) for scalability and security.

• Ensure seamless integration with existing banking systems and APIs.

Governance & Compliance

• Implement AI governance frameworks addressing ethical AI, data privacy, and regulatory compliance (e.g., GDPR, FFIEC).

• Secure TDRC and ARB approvals for all solution designs and deployments.

Stakeholder Engagement

• Partner with business leaders to identify AI opportunities and translate them into technical solutions.

• Provide thought leadership and technical guidance to cross-functional teams.

Innovation & Roadmap

• Stay ahead of emerging AI/Gen AI trends and evaluate new technologies for banking applications.

• Drive the AI strategy and roadmap aligned with business objectives.

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Experience:

• 8+ years in solution architecture with at least 3+ years focused on AI/ML and Generative AI.

• Proven experience in designing and deploying SaaS-based AI solutions in enterprise environments.

• Experience on benchmark on multiple SaaS AI solution / Gen AI Models.

• Hands-on experience / deep understanding with developing AI/Gen AI models, including LLMs and RAG solution frameworks.

• Strong experience in creating architecture diagrams and solution documentation.

Technical Skills:

• Expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, RAG solutions, Bedrock, Gen AI Models).

• Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and SaaS AI offerings.

• Proficiency in API design, microservices, and containerization (Docker, Kubernetes).

• Familiarity with iServer or similar enterprise architecture tools (is a plus).

• Candidate should have prior experience of Data Architecture building Data lake, data pipeline at scale.

Domain Knowledge:

• Deep understanding of banking processes (deposit, cards, lending, operations, collections etc), regulatory requirements, and security standards.

Soft Skills:

• Excellent communication and stakeholder management skills.

• 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