GenAI Engineer (Specialist - Data Sciences)

Title: GenAI EngineerLocation: Irving, Tx1. 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 integration2. 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 benchmarks3. 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 cultureTechnical 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