Senior AI/ML Engineer

Cooley LLP•Los Angeles, CA

16h

About The Position

Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. 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, and all members of the department are expected to advance this mission. The Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (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.

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

Nice To Haves

Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline
Excellent oral and written communications skills, including technical and user documentation writing
Strong analytical, problem solving, critical thinking and implementation skills
Professional demeanor
Excellent attention to detail, follow-up, organizational and communications skills
Ability to work independently and under pressure
Ability to solve problems independently and simultaneously
Entrepreneurial by nature
Ability to organize, prioritize and coordinate multiple activities often under tight timelines
Ability to drive projects to completion and achieve goals
Strong judgment
Team-player with collaborative spirit
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data
High level of professionalism at all times
Effective presentation skills

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
All other duties as assigned or required