AI-ML Director

Grant Thornton (US)

AI-ML Architect translating business objectives into end-to-end AI architectures for Grant Thornton. Leading AI/ML initiatives with focus on practical, secure, and scalable outcomes.

Posted 6/8/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $237,216 - $257,842 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead discovery workshops to clarify business objectives, constraints, and measurable success criteria for AI/ML initiatives
Translate requirements into end-to-end target-state architectures across data, ML/AI, application integration, security, and governance
Define pragmatic tradeoffs across accuracy, latency, cost, reliability, privacy, and risk—and communicate decisions to exec and engineering audiences
Design the data + model lifecycle and the required MLOps/LLMOps foundations
Establish integration patterns with enterprise systems
Partner with security, privacy, and risk teams to embed controls into solution designs
Produce core delivery artifacts and drive architecture reviews
Mentor teams and build reusable assets/accelerators

Requirements

What you’ll need

Bachelor's degree preferably in data science or computer science or related discipline
Minimum five years of hands-on developer experience in machine learning and artificial intelligence stacks for managers
At least two years of experience leading teams of AI/ML architects and developers for Directors
Demonstrated experience designing and delivering production AI/ML solutions in an enterprise environment
Strong grounding in cloud architecture (AWS/Azure/GCP), distributed systems, and modern data platforms
Experience with MLOps practices
Experience partnering with security/risk to implement privacy, access controls, auditability, and responsible AI practices
Ability to lead senior client stakeholders through decisions under ambiguity
Experience to develop long-standing relationships with clients
Experience leading AI/ML delivery programs
Experience with AI patterns (RAG, agentic, etc.)
Flexibility, adaptability, and eager self-starter
English: Fluent spoken and written communications skills
Prior consulting industry experience or prior experience in an internal consulting role
Must be currently eligible to work in the United States, position is not eligible for employer sponsorship

Benefits

Comp & perks

Medical, dental, and vision insurance programs
Employee assistance program
401(k) savings plan
Paid sick leave
Paid firm holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningartificial intelligenceMLOpscloud architectureAWSAzureGCPdata scienceapplication integrationdistributed systems

Soft Skills

leadershipcommunicationmentoringrelationship buildingflexibilityadaptabilitydecision makingclient managementproblem solvingcollaboration

Certifications

Bachelor's degree in data scienceBachelor's degree in computer science