Head of AI. The role, the market signal, and how to build it in your org.
Leads AI work for a function or organization. Sets priorities with business and technical owners and coordinates delivery, operating responsibilities and review.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
18 postings · 18 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
414 tasks extracted from real Head of AI job descriptions, classified Automate / Augment / Human-only. In this source classification, 1.4% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- View open positions
- Join the talent community
- Automate monitoring, scaling, and recovery for ai workloads
- Maintain an implementation roadmap for the procurement model.
- Report the region’s progress against plan on a regular basis.
- Build reusable frameworks, apis, and components to accelerate ai adoption across product lines.
- Serve as a trusted engineering partner to business executives by translating strategic goals into technical blueprints.
- Translate complex business requirements into engineered ai and genai solutions that deliver measurable business outcomes.
- Establish and enforce ai engineering standards, including model observability, version control, and performance telemetry.
- Architect and lead the development of llm-based, agentic, and machine-learning systems that integrate with enterprise data and technology platforms.
- Foster a builder culture rooted in experimentation, delivery, and responsible innovation.
- Guide engineering teams in model development, fine-tuning, and deployment, ensuring performance, security, and compliance.
- Partner with divisional leaders and their engineering, product, and operations teams to identify high-impact use cases and embed ai capabilities into existing workflows.
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.