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Cooley LLP

Senior AI/ML Engineer

Cooley LLP

. Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms .

Posted 4/30/2026full-timeNew York City • California, Illinois, New York, Texas • 🇺🇸 United StatesSenior💰 $145,000 - $210,000 per yearWebsite

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI solutionsML solutionsPythonLLM applicationsdata ingestionprompt engineeringcloud platformsperformance optimizationversioningdata privacy
Soft Skills
collaborationcommunicationtechnical designguidanceproblem-solving