Gen AI Consultant

Generative AI Consultant Key responsibilities:Engineering Production Grade Development 40%Hands-on Coding Lead the development of production ready systems with expert level proficiency in Python or PySparkSolution Engineering Apply advanced data structures algorithms and software design patterns to solve real world financial services challengesScalability Performance Architect high scale solutions with a big picture approach ensuring system latency and infrastructure costs are optimized to drive tangible business valueLifecycle Management Own the transition from MVP to live solutions managing change control and enterprise level AI integrationAdvanced AI Implementation RD 40%Generative AI RAG Design and deploy sophisticated RAG pipelines and Transformer based architecture Orchestrate LLMasa Service eg GPT4 Gemini Vertex AI alongside local SLMs eg Llama 3 MixtralAgentic Workflows Build autonomous agents using frameworks such as LangGraph preferred CrewAI or AutoGen to automate complex multistep business logicMLOps 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 standardsUAT Validation Drive User Acceptance Testing UAT focused on specific business outcomes and accuracy benchmarksLeadership Solution Orchestration 20%Stakeholder Management Navigate complex client ecosystems acting as the primary technical liaison for both Csuite stakeholders and engineering teamsStrategic Communication Translate high level business requirements into sustainable high value generative AI solutionsCoE 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 clientsTeam 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 fieldExperience 10 years Enterprise Application development Proven track record of delivering AIML solutions in a production environment specifically within the BFSI or highly regulated sectorsTooling Deep expertise in Python LangGraph, LangChain Vector Databases and cloud native AI stacks Azure AI AWS Bedrock or GCP Vertex AIArchitecture Strong foundation in microservices API design and enterprise security protocols