Job Role:- Senior AI Engineer/Lead
Job Location:- Jersey City, NJ – Hybrid (weekly 3 days)
Hiring Mode: Fulltime
Key Responsibilities
1 Engineering Production Grade Development 40
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 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 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 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
Skills
Mandatory Skills : GenAI - LLMOps
Good to Have Skills : Python