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Vice President, OPS AI Implementation

BNY

Pune

2+ years

1 day ago

$34.9K–47.0K/yr

Full-time

Onsite

Skills Required LLM

RAG

Prompt Engineering

Fine-tuning

Embeddings

Vector Database

Agentic AI

LangChain

LlamaIndex

Hugging Face

OpenAI

Azure OpenAI Services

NLP text analytics model evaluation

Description BNY is seeking an AI Implementation Analyst to help design and deliver practical AI and Generative AI solutions. The role focuses on LLM-based use cases, prompt engineering, RAG, and scalable AI workflows.

Company: BNY

Role: Vice President, OPS AI Implementation

Location: Pune, MH, India

Experience

- 4+ years of hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models
- Minimum 2 years of practical experience in AI, ML, Data Science, or Generative AI development
- Experience with LLMs such as GPT, Llama, Claude, Mistral, Gemini, or similar models
- Ability to work independently with limited supervision
- Ability to learn quickly and move from concept to delivery with limited handholding

Qualification

- Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or a related discipline
- Master’s degree in Computer Science, AI, Data Science, Engineering, or a related discipline
- MBA or equivalent in Business Management is desirable

Responsibilities

- Design, develop, test, and refine AI and Generative AI solutions using LLMs
- Build, evaluate, and optimize prompts, RAG workflows, embeddings, and model outputs




- Fine-tune or adapt foundation models for specific business use cases where appropriate
- Create AI pipelines covering data preparation, inference, evaluation, monitoring, and improvement
- Work with business and technology teams to identify AI opportunities and convert them into scalable solutions
- Conduct proof-of-concepts using emerging AI tools, frameworks, and model architectures
- Apply responsible AI, governance, risk, and compliance requirements in solution design
- Document reusable methods, technical approaches, and best practices for broader adoption
- Contribute independently to AI model development, refinement, and evaluation
- Deliver at least one practical LLM-based use case or proof-of-concept
- Demonstrate working knowledge of prompt engineering, RAG, and model performance improvement
- Operate as a reliable AI practitioner who collaborates effectively with business and technology teams

Additional Responsibilities

- Understand business problems quickly and build or refine AI solutions
- Work with limited supervision
- Challenge assumptions and improve model outcomes through experimentation
- Explain AI concepts to technical and non-technical stakeholders
- Stay execution-focused and comfortable in a fast-evolving AI workplace





Nice To Have

- An additional qualification in Business Management
- Strong command of AI terminology, concepts, tools, and industry trends
- Self-driven and curious working style
- Experience with model performance improvement through experimentation

More Skills Artificial Intelligence, Machine Learning, Generative AI, benchmarking, monitoring, responsible AI, AI safety, governance, AI orchestration, reusable AI workflow design, Python, SQL, Git, CI/CD, TensorFlow, PyTorch, LangGraph, OpenAI APIs, Snowflake, Pinecone, Chroma, FAISS, Weaviate, Azure, AWS, GCP, AI services

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