Role Name: GenAI Tech Lead
Location: Tampa / Hybrid
JOB DESCRIPTION:
Location Tampa, Florida
Forecasting of Resource Minimum One year
Role Generative AI Engineer Data Scientist
Skill Set Generative AI Engineer
Job Description
We are seeking an exceptional and highly motivated GenAI Tech Lead to join our dynamic team and drive the design prototyping and implementation of advanced Generative AI solutions within Finance Technology This pivotal role requires a seasoned professional with a deep understanding of Generative AI technologies a strong handson approach and a proven ability to translate complex business challenges into robust scalable and impactful digital solutions particularly focusing on GenAI adoption and Agentic AI for automating business processes within the financial sector If you are passionate about innovation technical leadership and influencing strategic direction we encourage you to apply
Required Skills Technical Expertise
Experience 10- 15 years of relevant experience in Apps Development or systems analysis role with a significant portion dedicated to AI/ML and demonstrable handson experience in designing building and deploying realworld Generative AI solutions with a specific focus on GenAI adoption and Agentic AI for business process automation
Programming Fluency Proficiency in at least two programming languages Strong preference for Python with significant experience in JavascriptTypescript and Golang being highly valued
Scalable Solutions Demonstrated deep handson experience in engineering and deploying enterprisegrade solutions that are highly scalable resilient and performant
Generative AI Expertise
Strong theoretical and practical understanding of Large Language Models LLMs including experience with various opensource and proprietary models finetuning techniques and deployment strategies
Proficiency with transformers agentic frameworks critical for business process automation vector stores eg Pinecone FAISS ChromaDB and advanced search algorithms
Handson experience with Retrieval Augmented Generation RAG implementations
Experience with relevant GenAIML frameworks such as LangChain LangGraph MLFlow Spring AI Spring Boot and Flask
Data Database Proficiency
Extensive experience with data analysis and manipulation using tools like SQL and Pandas
Proficiency in database technologies including Oracle Postgres ,or MongoDB
API Integration
Proven experience in designing and implementing robust REST and WebSocket APIs
Experience with messaging and integration platforms like Kafka or JMSMQ
Production AIMLGenAI Demonstrated ability to design develop and deploy GenAI and Agentic AI solutions into production environments
MLOps Experience with MLOps principles and tools is a significant advantage
Technical Proficiency
Extensive experience in system analysis and in programming of software applications with deep expertise in Python for AIML development
Communication Consistently demonstrates clear and concise written and verbal communication capable of articulating complex
Key Responsibilities
GenAI Adoption Drive the identification evaluation and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms Actively design develop and implement AIML solutions within financial applications with a strong emphasis on practical GenAI adoption This includes handson coding prototyping and deploying GenAI solutions
Agentic AI for Business Process Automation Be part of endtoend design prototyping and implementation of Agentic AI solutions focused on automating critical business processes ensuring they address business needs and scale effectively across the enterprise This includes designing and implementing Retrieval Augmented Generation RAG systems to enhance accuracy and contextuality especially for financial data
Chatbot Development Design develop and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources eg databases APIs and unstructured data eg documents emails free text leveraging GenAI for natural language understanding and generation in complex conversational flows
Document Processing OCR Integration Implement solutions for processing and extracting information from documents including integrating Optical Character Recognition OCR technologies to handle scanned documents and images making their content available for GenAI models
TexttoSQL Implementation Develop and deploy solutions leveraging Large Language Models to facilitate TexttoSQL capabilities enabling users to generate SQL queries from natural language requests thus simplifying data access and analysis from structured databases
Data Analysis Feature Engineering Analyze large complex datasets identify intricate patterns and extract actionable insights leveraging GenAI capabilities for data augmentation or synthetic data generation particularly relevant for Agentic AI applications
Data Pipeline Development Build and maintain robust scalable data pipelines for data ingestion processing and transformation specifically optimizing for the unique requirements of GenAI model training and inference
CrossFunctional Collaboration Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps incorporating GenAI and Agentic AI possibilities into discussions
System Enhancements Architecture Identify and define necessary system enhancements to deploy new GenAI products and process improvements Ensure application design adheres to the overall architecture blueprint integrating GenAI and Agentic AI components seamlessly
Problem Resolution Resolve a variety of highimpact problemsprojects through indepth evaluation of complex business processes system processes and industry standards applying GenAI and Agentic AI where they can offer innovative solutions
Tool Technology Evaluation Evaluate and select appropriate Generative AI tools and technologies including specialized frameworks libraries and cloud AI services eg AWS SageMaker Azure ML Google AI Platform with a focus on GenAI adoption and Agentic AI capabilities
Documentation Monitoring Develop and maintain comprehensive documentation for AIML models and systems specifically addressing GenAI and Agentic AI implementations Manage and monitor the performance efficiency and reliability of deployed AIML models including evaluating the effectiveness of GenAI components in production
Risk Assessment Appropriately assess risk when business decisions are made demonstrating particular consideration for the firms reputation and safeguarding Citigroup its clients and assets by driving compliance with applicable laws rules and regulations adhering to Policy applying sound ethical judgment regarding personal behavior conduct and business practices and escalating managing and reporting control issues with transparency especially concerning responsible AI and GenAI ethics in the context of GenAI adoption and Agentic AI
Agile Development ProofofConcept Champion rapid delivery and iterative development prioritizing value delivery over upfront perfection Lead the development of compelling proofofconcept projects to validate the feasibility and potential of novel GenAI and Agentic AI solutions
Platform Contribution Actively contribute to the design and development of internal GenAI and Agentic AI platforms frameworks and shared services
Troubleshooting Support Provide expert technical support troubleshooting and resolution for GenAI and Agentic AI solutions in production environments
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