Role description
Title: Lead GenAI Engineer
Location: Irving, Tx
1. Engineering Production Grade Development
• Handson Coding Lead the development of production ready systems with expert level proficiency in Python or PySpark
• Solution Engineering Apply advanced data structures algorithms and software design patterns to solve real world financial services challenges
• Scalability Performance Architect high scale 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 enterprise level AI integration
2. Advanced AI Implementation RD 40
• Generative AI RAG Design and deploy sophisticated RAG pipelines and Transformer based architecture Orchestrate LLMasaService eg GPT4 Gemini Vertex AI alongside local SLMs eg Llama 3 Mixtral
• Agentic Workflows Build autonomous agents using frameworks such as Lang Graph preferred Crew AI or Auto Gen to automate complex multistep business logic
• MLOps Governance Take full ownership of the model lifecycle including finetuning LLMSLM monitoring model drift ground truth 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
• Stakeholder Management Navigate complex client ecosystems acting as the primary technical liaison for both Csuite stakeholders and engineering teams
• Strategic Communication Translate high level business requirements into sustainable high value generative AI solutions
• CoE Liaison Partner with the BFS AI CoE to bring cutting-edge 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 high performing technical team fostering a positive solution mind and an initiative taking 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, Lang Graph, Lang Chain Vector Databases and cloud native AI stacks Azure AI AWS Bedrock or GCP Vertex AI
• Architecture Strong foundation in microservices API design and enterprise security protocols
