What are the responsibilities and job description for the Gen AI Solution Architect position at Spectra Group?
Job Details
Request ID: 83095-1
Position Title: Gen AI Solution Architect
Work Location: H0720 - HB Naperville, IL (1200 E Warrenville Rd) NOC [must be able to go into office.]
City & State: Naperville, Illinois
Line of Business: P&BB Retail Products
Est. Start Date: ASAP
Possibility of Extension: Yes
Possibility of conversion to FTE: Yes
Working hours: 9-5
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.
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 iServer 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.
Required Qualifications:
Education:
Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field.
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.
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.).