Vice President - AI / Machine Learning Software Engineer
No salary listed
Expert
Pune, Maharashtra, India
In Person
Software EngineeringAI Application Engineering
About the job
Requirements
- 10+ years of software engineering, AI engineering, machine learning, or data engineering experience.
- At least 8 years of hands-on experience building Generative AI applications.
- Experience leading technical workstreams or small engineering teams.
- Expert proficiency in Python.
- Advanced proficiency in SQL.
- Experience with REST API development.
- Knowledge of large language models, including GPT, Claude, Gemini, and Llama.
- Knowledge of prompt engineering, agentic AI architecture, retrieval-augmented generation implementations, machine learning fundamentals, and natural language processing and document intelligence.
- Experience with Databricks, Spark, or equivalent; data pipelines and workflow orchestration; and structured and unstructured data processing.
- Experience with one or more cloud platforms: Microsoft Azure, including Azure AI Foundry, Azure OpenAI, Fabric, and Data Factory; or AWS, including Bedrock, SageMaker, Glue, Lambda, and EMR.
- Experience with GitHub or Azure DevOps, Docker, MLflow, CI/CD pipelines, and monitoring and observability tools.
- Experience with SQL Server, PostgreSQL, Snowflake, vector databases such as ChromaDB, Pinecone, Weaviate, or MongoDB Atlas Vector Search, and NoSQL databases.
Responsibilities
- Design and develop AI-powered applications, autonomous agents, copilots, and intelligent automation solutions.
- Build and integrate large-language-model applications using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or equivalent.
- Develop retrieval-augmented generation solutions using vector databases and enterprise knowledge stores.
- Fine-tune, evaluate, and optimize AI models for performance, scalability, and cost efficiency.
- Implement responsible AI, model governance, explainability, and monitoring capabilities.
- Translate business requirements into scalable AI solution designs and technical architectures.
- Define patterns for agent orchestration, prompt management, tool integrations, memory management, and context engineering.
- Design reusable AI engineering components and accelerate solution delivery through standardized frameworks.
- Participate in architecture reviews and technology evaluations.
- Design and build scalable ETL/ELT pipelines to ingest, transform, and curate structured and unstructured data.
- Develop data workflows supporting AI and analytics use cases.
- Engineer datasets for machine learning and generative AI applications.
- Build integrations with enterprise systems, APIs, databases, and cloud services.
- Ensure data quality, lineage, security, and governance standards are upheld.
- Build CI/CD pipelines for machine learning and AI applications.
- Automate model deployment, monitoring, retraining, and lifecycle management processes.
- Implement observability, logging, performance metrics, and drift detection mechanisms.
- Support production AI workloads and continuously improve solution reliability.
- Lead small teams of AI engineers and developers across multiple concurrent initiatives.
- Mentor junior engineers and establish engineering best practices.
- Drive technical decision-making and code quality reviews.
- Collaborate with product, data, business, risk, compliance, and technology stakeholders.
- Contribute to estimation, sprint planning, technical roadmaps, and delivery governance.
Desired Qualifications
- JavaScript/TypeScript.
- Kubernetes.
About the company
BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1784
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Simplify's Take
What believers are saying
- BNY's growth funds expansion: July 2026 results showed quarterly revenue rising 13% to $5.7 billion.
- BNY is opening payment channels: September 2026 Pay-to-Wallet connected banks to retail wallets, with Kookmin among initial users.
- Analysts build transferable skills: BNY's 24-month program combines rotations, mentoring and AI learning pathways.
What critics are saying
- Staff stability has weakened: February 2026 reporting shows BNY headcount fell 7% in 2025.
- Investment demand weakened: BNY reported $17 billion of net outflows in the quarter ending March 2026.
- Investment fees face pressure: BNY reports demand shifting toward lower-fee asset-management products and performance-based charges.
What makes BNY unique
- BNY anchors institutional finance: its custody and administration footprint reached $62.6 trillion in June 2026.
- BNY occupies critical government-market plumbing: it is the primary provider of U.S. government securities clearance.
- BNY reaches brokerage customers through Pershing: its clearing platform supports 8.6 million global client accounts.
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Benefits
- Health Insurance
- Paid Vacation
- Flexible Work Hours
- Remote Work Options
- Unlimited Paid Time Off