Metropolitan Commercial Bank · 1 month ago
AI Engineer
New York, NY
Full-time
Hybrid
Senior Level
$130K/yr - $200K/yrMetropolitan Commercial Bank is a full-service commercial bank based in New York City, seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale. The role focuses on transforming innovative AI prototypes into scalable production systems and leading the deployment of high-impact AI capabilities.
BankingBusiness DevelopmentCommercial
Responsibilities
Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services
Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management
Design and maintain scalable software applications with integrated AI/ML capabilities
Develop software architecture and design patterns to ensure performance and scalability
Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go)
Implement and manage data pipelines for preprocessing and transforming data for AI/ML models
Integrate AI/ML models into production environments and optimize for reliability and scalability
Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions
Conduct code reviews and provide technical guidance to junior developers
Stay current with advancements in software engineering and AI/ML technologies
Adhere to agile and lean software development best practices
Thoroughly document all developed models and processes according to relevant policies and standards
Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank
Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms
Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback
Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability
Optimize model serving using techniques like model compression, caching, and hardware acceleration
Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues)
Qualification
Required
Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases
Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures
Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows
Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments
Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow)
Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js)
Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering
Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML
Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams)
Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets
Strong understanding of AI/ML algorithms, application architecture, and design patterns
Excellent problem-solving, analytical, communication, and collaboration skills
Preferred
Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics)
Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling
Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams
Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber)
Ability to work in a constantly evolving environment
Excellent written and verbal communication skills
Strong listening and teaching abilities
Demonstrated analytical, troubleshooting, and problem-solving skills
Quick learner of new technologies
Self-directed with strong technology and communication skills
Ability to synthesize multiple sources of information and understand the broader operational context of the Bank
Collaborative team player with a practical and creative approach in a dynamic work environment
Ability to handle ambiguity, multitask, and adapt quickly to changing priorities
Company
Metropolitan Commercial Bank
Metropolitan Commercial Bank provides business, commercial, and personal banking products and services.
Founded in 1999
201-500 employees
H1B Sponsorship
Metropolitan Commercial Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (1)
Funding
Current Stage
Growth StageLeadership Team
Nick Rosenberg
Executive Vice President, Chief Technology Officer
Dixiana B.
Executive Vice President and Chief Operating Officer
Recent News
MarketScreener
2025-10-27
2025-10-25
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