GenAI Tech Lead

• 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 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

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 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 Gen AI/ML 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 AI/ML GenAI 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
  
  

The pay range that the employer in good faith reasonably expects to pay for this position is $36.41/hour - $56.88/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Salary : $36 - $57