Director, Data Science – AI Engineering

Pillsbury Winthrop Shaw Pittman LLP

Director of Data Science & AI Engineering at a legal firm overseeing AI-driven innovations. Leading a multidisciplinary team to provide actionable insights and enhance operational efficiency.

Posted 5/23/2026full-timeNashville • California, Florida, New York, Tennessee, Washington • 🇺🇸 United StatesLead💰 $290,000 - $440,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

The Director, Data Science & AI Engineering will lead the development and execution of the Firm’s enterprise data science, analytics, and AI engineering strategy.
This role is responsible for building and managing a multidisciplinary team of Data Scientists, Data Analysts, and MLOps / AI Engineers focused on delivering innovative, production-ready AI solutions that support the Firm’s legal and business operations.
Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced analytics, and business intelligence platforms that provide actionable matter, financial, and operational insights to firm leadership.
This position serves as a strategic and hands-on leadership role within a rapidly evolving AI environment, responsible for establishing scalable architecture, governance, evaluation standards, security practices, and operational frameworks appropriate for a highly regulated professional services organization.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related quantitative field, or equivalent combination of education and relevant professional experience.
Advanced degrees preferred.
10+ years of progressive experience in data science, machine learning, AI engineering, or a related technical discipline, including demonstrated leadership experience building and managing high-performing technical teams.
Proven success designing, deploying, and supporting production AI/ML solutions, including large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and agent-based workflows.
Strong technical foundation with the ability to evaluate system architecture, engineering approaches, model performance, and technical design decisions across AI and analytics platforms.
Deep understanding of modern AI technologies and architectures, including foundation models, embeddings, vector databases, hybrid search, RAG methodologies, agent frameworks, Model Context Protocol (MCP), prompt engineering, model evaluation, fine-tuning, and operational scalability considerations.
Experience establishing and supporting MLOps/LLMOps practices, including cloud infrastructure, deployment automation, monitoring, security, and operational governance.
Demonstrated experience leading enterprise analytics and business intelligence initiatives, including the development of executive-facing dashboards and reporting solutions that support strategic decision-making.
Strong leadership, organizational, and problem-solving skills, with the ability to operate effectively in fast-paced, evolving, and highly collaborative environments.
Excellent written and verbal communication skills, including the ability to communicate complex technical concepts, AI risks, and architectural decisions clearly to executive leadership, attorneys, and non-technical stakeholders.
Sound judgment regarding AI governance, privacy, security, confidentiality, and ethical considerations associated with deploying AI technologies in regulated and data-sensitive environments.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Pillsbury Winthrop Shaw Pittman LLP Website LinkedIn All Job Openings 1001 - 5000 employees Pillsbury Winthrop Shaw Pittman LLP is an international law firm with a particular focus on the technology & media, energy, financial services, and real estate & construction sectors. Recognized by legal research firm BTI Consulting as one of the top 20 firms for client service, Pillsbury and its lawyers are highly regarded for their forward-thinking approach, their enthusiasm for collaborating across disciplines and their authoritative commercial awareness. To learn more, visit pillsburylaw.com. Director, Data Science – AI Engineering 🔥 1 hour ago 🏢 Nashville – Onsite 💵 $290k - $440k / year ⏰ Full Time 🔴 Lead 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
The Director, Data Science & AI Engineering will lead the development and execution of the Firm’s enterprise data science, analytics, and AI engineering strategy.
This role is responsible for building and managing a multidisciplinary team of Data Scientists, Data Analysts, and MLOps / AI Engineers focused on delivering innovative, production-ready AI solutions that support the Firm’s legal and business operations.
Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced analytics, and business intelligence platforms that provide actionable matter, financial, and operational insights to firm leadership.
This position serves as a strategic and hands-on leadership role within a rapidly evolving AI environment, responsible for establishing scalable architecture, governance, evaluation standards, security practices, and operational frameworks appropriate for a highly regulated professional services organization. 🎯 Requirements
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related quantitative field, or equivalent combination of education and relevant professional experience.
Advanced degrees preferred.
10+ years of progressive experience in data science, machine learning, AI engineering, or a related technical discipline, including demonstrated leadership experience building and managing high-performing technical teams.
Proven success designing, deploying, and supporting production AI/ML solutions, including large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and agent-based workflows.
Strong technical foundation with the ability to evaluate system architecture, engineering approaches, model performance, and technical design decisions across AI and analytics platforms.
Deep understanding of modern AI technologies and architectures, including foundation models, embeddings, vector databases, hybrid search, RAG methodologies, agent frameworks, Model Context Protocol (MCP), prompt engineering, model evaluation, fine-tuning, and operational scalability considerations.
Experience establishing and supporting MLOps/LLMOps practices, including cloud infrastructure, deployment automation, monitoring, security, and operational governance.
Demonstrated experience leading enterprise analytics and business intelligence initiatives, including the development of executive-facing dashboards and reporting solutions that support strategic decision-making.
Strong leadership, organizational, and problem-solving skills, with the ability to operate effectively in fast-paced, evolving, and highly collaborative environments.
Excellent written and verbal communication skills, including the ability to communicate complex technical concepts, AI risks, and architectural decisions clearly to executive leadership, attorneys, and non-technical stakeholders.
Sound judgment regarding AI governance, privacy, security, confidentiality, and ethical considerations associated with deploying AI technologies in regulated and data-sensitive environments. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

data sciencemachine learningAI engineeringlarge language models (LLM)retrieval-augmented generation (RAG)MLOpsanalyticsbusiness intelligencemodel evaluationprompt engineering

Soft Skills

leadershiporganizational skillsproblem-solvingcommunication skillscollaborationstrategic decision-makingjudgmentadaptabilitytechnical communicationstakeholder engagement