GenAI Tech Lead with Banking client Exp - Tampa , FL (Hybrid)

Role Name: GenAI Tech Lead with Banking client Exp - Tampa , FL (Hybrid)
Location: Tampa , FL (Hybrid)
Start date: 12 Months

JOB DESCRIPTION:

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 hands on 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


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 hands on 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

Text to SQL 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 Proof of Concept Champion rapid delivery and iterative
development prioritizing value delivery over upfront perfection Lead the
development of compelling proof of concept 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

Required Skills Technical Expertise

Experience 10-15 years of relevant experience in Apps Development or systems
analysis role with a significant portion dedicated to AIML and demonstrable
hands on experience in designing building and deploying real world 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 Javascript, Typescript and
Golang being highly valued

Scalable Solutions Demonstrated deep hands on experience in engineering and
deploying enterprise grade 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 fine tuning
techniques and deployment strategies

Proficiency with transformers agentic frameworks critical for business process
automation vector stores eg Pinecone FAISS ChromaDB and advanced search
algorithms

Hands on 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

Best Regards,

Chetna

Truth Lies in  Heart