Solution Architect - Gen AI (Senior Specialist - Architecture)
LTM
University of South Florida, Tampa, FL 33620, USA
4/18/2026
Architect
Full time
Role description
Title: Solution Architect - Gen AI
Location: Irving, Tx / Tampa, FL (Hybrid - 3 days onsite)
Title: Solution Architect - Gen AI
Location: Irving, Tx / Tampa, FL (Hybrid - 3 days onsite)
- 12+ years of relevant experience in an engineering and architectural role in Cash Management, Intra-day Liquidity, Payments, Financial Ledger, Regulatory reporting areas in Financial Services
- 7+ years' experience in leading large scale enterprise architecture initiatives within banking, financial services industry
- Strong understanding of banking systems, financial services platforms, core banking, data platforms, market infrastructure providers, and regulatory frameworks
- Strong experience in architecting enterprise level distributed systems.
- Lead architecture governance process including architecture review boards, technology assessments, and conformance to key design principles
- World-class expertise in building GenAI led business solves, with a proven track record of designing and delivering business solutions, platforms, Products.
- Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and working with technology teams in building complex, production-grade Agentic solutions.
- Ability to define and articulate new architectural options and strategies to solve complex business and technical problems.
- Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape.
- Experience working on large technology projects using industry-standard delivery methodologies (e.g., Agile/Scrum/Kanban)
- Experience working in enterprise architect and technology strategy roles
- Contribute to the architectural design discussions and decisions for new features and system enhancements.
- Implement inter-service communication patterns (e.g., message queues, Kafka, distributed caching, event streams) within a microservices ecosystem.
- Contribute to the development of AI-driven features or enhancements within the application landscape.
- Integrate AI/Machine Learning models and services into existing microservices and applications
- Ability to develop working relationships
- Management and prioritization skills
- Strong decision making, forward thinking and creative problem-solving skills to anticipate and respond quickly to technological/market influences
- TOGAF Certification is required.