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Senior Practitioners Only · Independent · High Impact

We hire practitioners who have actually shipped AI

Most AI consulting firms hire MBAs with no production experience and train them to advise enterprises. We do the opposite. Every advisor at AI Advisory Practice has personally deployed AI systems at enterprise scale before joining us. If your experience is primarily slide decks and workshops, this is not the right role.

Apply Now → Meet the Team
15+ year senior experience required Production deployment track record Vendor-neutral independence Four global locations
Our Philosophy

Why practitioners choose us over big-firm roles

We built this practice specifically to create a home for senior AI practitioners who are tired of advising from the sidelines and want to do the actual work.

You Work With the Client, Not for the Partner
At most large advisory firms, senior talent wins the work and junior staff deliver it. Here, the senior practitioner who sells the engagement leads it from start to finish. Clients get your expertise, not your name in a credential box.
Independence Means You Give Honest Advice
We accept no vendor referral fees, implementation kickbacks, or platform partnership revenue. When you recommend an AI platform to a client, your recommendation is based purely on their requirements and your independent assessment. No conflicts, no politics.
You Define Your Engagement Load
Our practitioners manage between 2 and 4 active client engagements at a time, with enough depth in each to do quality work. We do not measure utilization rates. We measure client outcomes. If a client is not getting results, that is a problem we address directly.
Compensation Reflects Your Impact
Our compensation model is built around the value you create for clients, not the hours you log. Senior practitioners who deliver exceptional outcomes earn more than the equivalent role at a large consulting firm. We share engagement economics transparently with every team member.
Open Roles

Current openings for senior practitioners

We hire continuously for the right practitioners. If you have the background, reach out even if the timing is not perfect.

Senior AI Strategy Advisor
Active Search Full-Time

Lead enterprise AI strategy engagements with Fortune 500 clients across North America and Europe. You will assess AI readiness, develop multi-year AI roadmaps, and oversee implementation through to production deployment. This role requires a combination of strategic thinking and hands-on technical depth.

15+ years in enterprise technology, with at least 8 years focused on AI or machine learning systems
Track record of AI deployments that reached production at organizations with 5,000+ employees
Experience advising C-suite executives (CIO, CDO, CFO) on technology strategy
Vendor-neutral perspective across major AI platforms (Azure AI, AWS SageMaker, GCP Vertex, OpenAI, Anthropic)
Former experience at a technology company, management consultancy, or in-house enterprise AI leadership role
New York · San Francisco · London
Apply →
AI Governance and Risk Advisor
Active Search Full-Time

Lead AI governance framework development and risk assessment for enterprise clients navigating the EU AI Act, sectoral AI regulations, and internal governance requirements. You will develop governance frameworks, assess model risk, and build AI policy infrastructure that enables responsible AI deployment at scale.

12+ years in enterprise risk management, technology governance, or AI ethics roles
Deep familiarity with EU AI Act, NIST AI Risk Management Framework, and sectoral AI regulations (financial services, healthcare, insurance)
Experience building model risk management frameworks for production AI systems
Background in legal, compliance, or risk functions at a regulated enterprise or regulatory body is preferred
London · New York
Apply →
Generative AI Implementation Lead
Active Search Full-Time / Contract

Lead enterprise GenAI deployments from strategy through production. This role covers LLM selection and evaluation, RAG architecture, prompt engineering at scale, agent frameworks, and change management for GenAI adoption. You will work directly with client engineering teams to deliver GenAI systems that produce measurable productivity outcomes.

8+ years in enterprise software engineering or AI engineering, with at least 3 years on production LLM or GenAI systems
Hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini), vector databases, and RAG architectures
Production deployment experience with LLM-based applications serving 1,000+ enterprise users
Ability to operate at both technical implementation and executive communication levels
All Locations · Remote
Apply →
AI Data Strategy Advisor
Pipeline Full-Time

Help enterprise clients close the gap between their data infrastructure and their AI ambitions. This role focuses on data architecture assessment, data quality frameworks, feature engineering strategy, and data governance as a foundational enabler of AI production outcomes. The most common reason enterprise AI fails is data, and this advisor solves that problem.

12+ years in enterprise data engineering, data architecture, or data strategy roles
Experience assessing data infrastructure readiness for ML workloads at Fortune 500 scale
Background across multiple data platform ecosystems (Snowflake, Databricks, BigQuery, Azure Synapse)
Track record of reducing time-to-production for AI models through data infrastructure improvements
All Locations
Apply →
Why Join Us

What senior practitioners actually care about

We designed our compensation and working model around what experienced practitioners told us they wanted but could not find at large firms.

Above-Market Compensation
Our senior advisors earn 20 to 40% above comparable roles at large consulting firms. We share engagement economics transparently. No arbitrary compensation bands.
True Independence
No vendor referral arrangements. No platform partnerships that compromise advice. Your professional reputation depends on giving honest recommendations, and our model protects that.
Controlled Workload
Maximum 4 active client engagements. No 80-hour weeks. No utilization rate pressure. We hire senior talent and trust them to manage their time as professionals.
Peer Caliber Colleagues
You will work alongside practitioners who have built AI systems at Google, Microsoft, McKinsey, and Accenture. No mentoring junior staff. No carrying underperformers.
Remote-First Flexibility
On-site when clients need it. Remote for everything else. No mandatory office days. We measure outcomes, not presence. Work where you produce your best work.
High-Impact Work
Our engagements typically involve AI systems serving tens of thousands of users and generating measurable business outcomes in the hundreds of millions of dollars. The work is consequential.
Our Process

Four steps from application to offer

We move quickly for the right candidates. Our entire process typically takes 2 to 3 weeks for senior practitioners.

01
Application Review
We review your background and production AI deployment track record. Response within 3 business days for qualified candidates.
02
Principal-Level Interview
A 60-minute conversation with one of our founding advisors. We discuss a specific enterprise AI challenge you have solved in production. No hypotheticals.
03
Client Scenario Assessment
A 90-minute working session using a real (anonymized) client situation from our practice. We assess how you think, not how you present.
04
Offer and Onboarding
Transparent compensation discussion. Clear scope of role, client portfolio, and expectations. Onboarding with an active senior advisor for the first 8 weeks.
Apply

Introduce yourself

No formal cover letter required. Tell us what you have built and why this practice is the right next step in your career.

What we are looking for

The single most important criterion for joining AI Advisory Practice is a verifiable track record of deploying enterprise AI systems to production. We define production as: a system serving real end users at organizational scale, making decisions that affect business outcomes, and operating reliably over an extended period.

Pilot projects, proof-of-concepts, and internal demos do not qualify. Academic publications and research experience are valuable but not sufficient on their own. We are looking for practitioners who have done the hard work of taking AI from idea to production in an enterprise environment.

If your background includes AI deployment at companies with 1,000+ employees, in roles where you personally built and shipped the system (not just oversaw it from a management layer), we want to hear from you.

We hire practitioners from technology companies, in-house enterprise AI teams, and boutique advisory firms. We do not typically hire from large consulting firm AI practices where the work is primarily strategic rather than technical and delivery-focused.

Questions? Reach us through the contact page with subject "Careers Inquiry."

Practitioner Application
Apply to Join the Practice
For senior practitioners with 12+ years of enterprise AI deployment experience. All applications reviewed by a founding advisor.
Applications reviewed by a founding advisor. We respond to all qualified applicants within 5 business days.
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