AI Careers

The ten AI jobs organizations are actually hiring for.

They sit in business, technology and people operations - not just at the keyboard. Each one is written in the skills it asks for, with the Academy programs that get you ready.

Pathways

Business · Technical · People

Not every AI job is a technical one.

Three lenses

AI careers aren't just technical.

Each role sits in one of three lenses - the kind of work it mostly asks of you. Pick the lens that matches your strengths; follow the pathways from there.

  1. 013 roles

    Business

    Translate business problems into AI solutions. Scope, deliver and advise.

  2. 025 roles

    Technical

    Build, integrate, deploy and operate AI systems - from agents to pipelines.

  3. 032 roles

    People

    Change management, governance and responsible adoption across the workforce.

The ten pathways

Each role, with the skills it asks for.

Every pathway below is written in four skill dimensions - business, technical, AI and human-consulting - so you can see what the job actually involves. Then: the Academy programs that get you ready.

01Business

AI Business Analyst

Identifies business problems, maps workflows, gathers requirements and translates operational needs into AI use cases.

Business
Requirements, process mapping, ROI
Technical
Data literacy, low-code tools
AI
Use-case scoping, prompting
Human / Consulting
Stakeholder interviews, facilitation
02Technical

AI Automation Specialist

Designs AI-enabled workflows using automation platforms, agents and business applications.

Business
Process improvement
Technical
Power Automate, APIs, integrations
AI
Agents, Copilot Studio
Human / Consulting
User testing, documentation
03People

AI Adoption Specialist

Supports responsible implementation, user readiness, change management and workforce adoption.

Business
Change management, training design
Technical
Enterprise AI tools
AI
Responsible use, AI literacy
Human / Consulting
Coaching, communication
04Business

AI Implementation Consultant

Helps organizations move from AI opportunity identification to pilots, deployment and value realization.

Business
Business cases, project delivery
Technical
Solution architecture basics
AI
Vendor and model evaluation
Human / Consulting
Client discovery, advising
05Business

AI Product Specialist / Manager

Defines AI product requirements, user needs, roadmaps, metrics and responsible product decisions.

Business
Roadmaps, metrics, prioritization
Technical
Prototyping, data basics
AI
Model capabilities and limits
Human / Consulting
User research, cross-team leadership
07Technical

AI Solutions Engineer

Combines technical and business skills to configure, integrate and demonstrate AI solutions.

Business
Solution selling, use-case fit
Technical
APIs, cloud, integration
AI
RAG, agents, configuration
Human / Consulting
Demos, client communication
09Technical

Forward Deployed AI Engineer

Works directly with organizations to understand operational problems and rapidly build, deploy and improve working AI solutions.

Business
Client discovery, operations
Technical
Software, data, cloud deployment
AI
LLM apps, RAG, agents
Human / Consulting
On-site collaboration, fast feedback
10Technical

AI Evaluation / LLMOps Specialist

Tests AI systems, monitors quality, manages deployment pipelines and improves reliability.

Business
Quality standards, risk
Technical
Pipelines, monitoring, testing
AI
Evals, LLMOps
Human / Consulting
Clear reporting to stakeholders

Career pathways on this page describe roles organizations are hiring for; they are not guarantees of employment. We do not publish salary figures that cannot be sourced and dated.

Not sure which path?

A short conversation with a faculty advisor is coming.

Advising capacity opens alongside Cohort 8. Until then, apply or request information and we'll route you to the right program.

Available alongside Cohort 8