Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid

About the role

This position is Onsite/Hybrid - Requires 1 day onsite a week
Location: 150 E 42nd Street, New York, NY

Responsibilities

• End-to-End System Responsibility: Assume full ownership of the design, development, deployment, governance, and continuous evolution of AI agent ecosystems and autonomous workflows.
• Architect and deliver end-to-end agentic AI solutions leveraging Large Language Models (LLMs), multi-agent systems, Retrieval-Augmented Generation (RAG), orchestration frameworks, and enterprise integrations.
• Lead the collaborative efforts with cross-functional teams, including data scientists and product managers, to ensure the successful deployment and robust maintenance of machine learning models.
• Oversee the continuous monitoring and timely updating of deployed models to guarantee enduring performance and reliability.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 4+ years of relevant experience in machine learning and back-end software development.
• 1+ years of hands-on experience building and deploying Generative AI, LLM, RAG, Copilot, or Agentic AI solutions in production environments.
• Experience with LLM platforms and frameworks such as Azure AI Foundry, Azure OpenAI, OpenAI, Anthropic, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Experience building RAG architectures utilizing vector databases such as Pinecone, Azure AI Search, Elasticsearch, Weaviate, Chroma, or equivalent platforms.
• Demonstrated end-to-end machine learning system development and operation experience, covering the complete Software Development Life Cycle (SDLC).
• Proficiency in multiple programming languages and machine learning frameworks and tools.
• Solid experience with both SQL and NoSQL databases.
• Extensive experience with Big Data technologies like Apache Spark.
• Hands-on experience in Unix environments.
• Praactical knowledge and experience with at least one cloud system among AWS, Azure, or Google Cloud.
• Familiarity with continuous development and integration systems such as Jenkins, Git, Azure DevOps, and Terraform.
• Proven history in developing, deploying, and operating efficient and reliable machine learning systems.
• Strong leadership and effective communication skills to facilitate cross-functional collaboration throughout the organization.
• Experience in providing mentorship

Additional Responsibilities

• Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies.
• Tracks and reports progress.
• Keeps stakeholders apprised of project status and implications for completion.
• Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.
• Mentor other analysts on how to a) determine appropriate statistical analysis methods, b) leverage appropriate programing languages and tools, and c) generate and interpret statistical analysis outputs.
• Share development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.
• Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
• Works closely with IT on the ongoing improvement of Mount Sinai’s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.
• Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.
• Other duties as assigned.

Employer Description

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally.

Compensation

The salary range for the role is $132000 - $198065 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need.