Sr. GenAI Developer

Role description

Job Role:- Sr. GenAI Developer

Job Location:- Irving, Texas

Job Responsibilities

1 Engineering ProductionGrade Development 40

Handson Coding Lead the development of productionready systems with expertlevel proficiency in Python or PySpark

Solution Engineering Apply advanced data structures algorithms and software design patterns to solve realworld financial services challenges

Scalability Performance Architect highscale solutions with a big picture approach ensuring system latency and infrastructure costs are optimized to drive tangible business value

Lifecycle Management Own the transition from MVP to live solutions managing change control and enterpriselevel AI integration

2 Advanced AI Implementation RD 40

Generative AI RAG Design and deploy sophisticated RAG pipelines and Transformerbased architecture Orchestrate LLMasaService eg GPT4 GeminiVertex AI alongside local SLMs eg Llama 3 Mixtral

Agentic Workflows Build autonomous agents using frameworks such as LangGraph preferred CrewAI or AutoGen to automate complex multistep business logic

MLOps Governance Take full ownership of the model lifecycle including finetuning LLMSLM monitoring model drift groundtruth validation and ensuring compliance with Model Risk Management MRM standards

UAT Validation Drive User Acceptance Testing UAT focused on specific business outcomes and accuracy benchmarks

3 Leadership Solution Orchestration 20

Stakeholder Management Navigate complex client ecosystems acting as the primary technical liaison for both Csuite stakeholders and engineering teams

Strategic Communication Translate highlevel business requirements into sustainable highvalue generative AI solutions

CoE Liaison Partner with the BFS AI CoE to bring cuttingedge RD and incubated solutions and active participation for multiple client AI solutions demo and delivery assurance to global clients

Team Mentorship Lead and inspire a highperforming technical team fostering a positive solution mind and an initiativetaking culture

Technical Qualifications

Education bachelors or masters degree in computer science Engineering or a related quantitative field

Experience 10 years Enterprise Application development Proven track record of delivering AIML solutions in a production environment specifically within the BFSI or highly regulated sectors

Tooling Deep expertise in Python LangGraphLangChain Vector Databases and cloudnative AI stacks Azure AI AWS Bedrock or GCP Vertex AI

Architecture Strong foundation in microservices API design and enterprise security protocols