Senior AI/ML Engineer at Cooley LLP | CO, US | Rezi

Senior AI/ML Engineer at Cooley LLP

Senior AI/ML Engineer

Cooley LLP · CO, US

1 weeks ago

Senior AI/ML Engineer

Cooley LLP · CO, US

8 days ago
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About the Role

As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence. The Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale AI and ML solutions across Azure, AWS, and other cloud and hybrid platforms. This role is highly hands on and execution focused, combining strong software engineering practices with applied AI and ML expertise to deliver secure, scalable, and high performing solutions that support the firm’s business and technology objectives.

Responsibilities

  • 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

  • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications
  • Ability to work extended and/or weekend hours, as required
  • Ability to travel, as required
  • 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

Skills

  • Python
  • AI
  • ML
  • Azure
  • AWS
  • Cloud Platforms
  • Prompt Engineering
  • Data Ingestion
  • Deployment
  • Monitoring
  • Code Quality
  • Scalability
  • Maintainability
  • Performance Optimization
  • Cost Efficiency
  • Enterprise Data Platforms
  • Data Lakes
  • Data Warehouses
  • APIs
  • Streaming Systems
  • Lifecycle Management
  • Versioning
  • Prompt Iteration
  • Production Support
  • Security Best Practices
  • Compliance Best Practices
  • Data Privacy Best Practices
  • Technical Design
  • AI Implementation Patterns
  • ML Implementation Patterns
  • Cloud Security
  • Governance
  • Data Privacy Principles
  • LLM-powered applications
  • Agentic workflows
  • Retrieval Systems (RAG)
  • LangChain
  • LangSmith
  • Pydantic AI
  • Orchestration Tooling
  • Observability Tooling
  • Microsoft Office Suite
  • iManage
  • Communication Skills
  • Analytical Skills
  • Problem Solving Skills
  • Critical Thinking Skills
  • Attention to Detail
  • Organizational Skills
  • Presentation Skills

Experience Level

  • Senior

Education Level

  • Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline

Salary/Compensations

  • $145,000 - $210,000

Benefits

  • Medical
  • 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
  • Parental support benefits
  • Firm-paid life insurance
  • Firm-paid AD&D
  • Firm-paid LTD
  • Firm-paid short term medical benefits
  • 21 days of Paid Time Off (“PTO”)
  • 10 paid holidays
  • Generous parental leave
  • Fertility benefits

About the Company

  • Cooley is a leading technology law firm.
  • Cooley Innovation embraces a culture of customer service excellence.
  • Cooley offers a competitive compensation and excellent benefits package.
  • Cooley is committed to fair and equitable employment practices.

Equal Opportunity

  • EOE.