Senior AI Engineer/Lead

Job Role:- Senior AI Engineer/LeadJob Location:- Jersey City, NJ – Hybrid (weekly 3 days)Hiring Mode: FulltimeKey Responsibilities1 Engineering Production Grade Development 40Handson 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 integration2 Advanced AI Implementation RD 40Generative 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 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 groundtruth validation and ensuring compliance with Model Risk Management MRM standardsUAT Validation Drive User Acceptance Testing UAT focused on specific business outcomes and accuracy benchmarks3 Leadership Solution Orchestration 20Stakeholder 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 QualificationsEducationbachelors or masters degree in computer science Engineering or a related quantitative fieldExperience10 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 LangGraphLangChain Vector Databases and cloudnative AI stacks Azure AI AWS Bedrock or GCP Vertex AIArchitecture Strong foundation in microservices API design and enterprise security protocolsSkillsMandatory Skills : GenAI - LLMOpsGood to Have Skills : Python