AI, Data & Technology - AI-ML Architect
Grant Thornton LLP1 day ago
Atlanta, GA, USAStaff+
Base Salary
$171k - $275k/yr
Responsibilities
- Lead discovery workshops to define business objectives, constraints, and measurable success criteria for AI/ML initiatives.
- Translate requirements into target-state architectures across data, ML/AI, application integration, security, and governance.
- Define tradeoffs involving accuracy, latency, cost, reliability, privacy, and risk for executive and technical audiences.
- Design data and model lifecycles covering pipelines, training or fine-tuning, serving, monitoring, drift detection, and retraining.
- Establish MLOps and LLMOps foundations and integration patterns for enterprise systems, including APIs, events, workflows, IAM, and observability.
- Partner with security, privacy, and risk teams to embed access, auditability, data-handling, and responsible-AI controls.
- Produce architecture diagrams, reference patterns, implementation roadmaps, runbooks, and architecture reviews.
- Mentor AI/ML teams and build reusable reference architectures, templates, accelerators, and evaluation scorecards.
- Lead AI/ML delivery programs, proposal solutioning, estimates, technical writing, and client build-versus-buy decisions.
Requirements
- Bachelor's degree, preferably in data science, computer science, or a related discipline.
- Manager-level candidates need at least five years of hands-on developer experience with machine learning and artificial intelligence stacks.
- Director-level candidates need at least two years of experience leading teams of AI/ML architects and developers.
- Demonstrated experience designing and delivering production AI/ML solutions in enterprise environments.
- Strong grounding in cloud architecture, distributed systems, and modern data platforms, including AWS, Azure, or GCP.
- Experience with MLOps, model lifecycles, monitoring, governance, and deployment automation.
- Experience implementing privacy, access controls, auditability, and responsible-AI practices with security and risk partners.
- Ability to lead senior client stakeholders through ambiguous decisions and develop long-standing client relationships.
- Experience with AI patterns such as RAG and agentic systems.
- Preferred experience includes regulated environments such as SOX, HIPAA, PCI, and model risk management.
- Experience mentoring colleagues and guiding clients on AI/ML build-versus-buy decisions.
- Fluent spoken and written English communication skills and a flexible, adaptable, self-starting approach.
- Prior consulting or internal consulting experience is preferred.
- Must be currently eligible to work in the United States.
Benefits
- Hybrid work model requiring in-person attendance at least two days per week at a Grant Thornton office or client site.
- Readiness to travel up to 60%.
- This position is not eligible for employer sponsorship.
Tech Stack
Categories
Solutions Engineering
About Grant Thornton LLP
Grant Thornton LLP is a U.S. professional services partnership providing audit, tax, and advisory consulting to public and private organizations across sectors. It earns fee-for-service revenue from attest work, tax compliance and planning, and business and technology consulting, including ERP implementations and transformation projects. Founded in 1924 and headquartered in Chicago, it is the U.S. member firm of Grant Thornton International Ltd, serving clients in industries such as banking, energy, manufacturing, and real estate.