Senior AI/ML Engineer

Cooley LLP

Senior AI/ML Engineer at Cooley, developing and operating AI and ML solutions across cloud platforms. Collaborating with cross-functional teams to achieve technology objectives.

Posted 7/21/2026full-timeNew York City • California, Illinois, New York • 🇺🇸 United StatesSenior💰 $145,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI and ML solutions on cloud platforms such as Azure and AWS, with a strong focus on performance optimization, security, and compliance. Proficient in Python and experienced in integrating AI applications with enterprise data systems.

Highest-signal resume keywords

AI And ML Solution DevelopmentAzure And AWS ExperiencePython ProficiencyIntegration With Enterprise Data SourcesCloud Security And Data Privacy Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application Pipeline ImplementationPrompt EngineeringCode OptimizationData IngestionPerformance MonitoringVersioning And Iteration ManagementScalable Code WritingAgentic Application DevelopmentLLM-Powered Application DevelopmentCloud-Based AI Services

Soft Skills

CollaborationTechnical Design Discussion Contribution

Tools & Technologies

LangChainLangSmithPydantic AIData LakesData WarehousesAPIsStreaming Systems

Industry Keywords

AI And ML SolutionsCloud PlatformsData Privacy Best PracticesCompliance StandardsGovernance Principles

Tech Stack

Tools & technologies

AWSAzureCloudPython

About the role

Key responsibilities & impact

Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms
Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring
Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations
Write high quality, scalable, and maintainable code for AI and ML workloads
Optimize performance, reliability, and cost efficiency of cloud based AI and ML services
Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems
Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support
Apply security, compliance, and data privacy best practices in all AI and ML implementations
Contribute to technical design discussions and provide guidance on AI and ML implementation patterns
Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically

Requirements

What you’ll need

5+ years directly applicable experience (e.g., building and deploying AI and ML solutions)
Hands on experience developing AI and ML solutions on Azure and/or AWS
Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows
Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG)
Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling
Knowledge of cloud security, governance, and data privacy principles as they relate to AI and ML systems

Benefits

Comp & perks

Health insurance
Health savings account (with applicable medical plan)
Dental
Vision
Health and/or dependent care flexible spending accounts
Pre-tax commuter benefits
Life insurance
AD&D
Long-term care coverage
Backup care for children and/or adults
Other parental support benefits
21 days of Paid Time Off (“PTO”)
10 paid holidays each year
Generous parental leave
Fertility benefits