Shae/ph360 Logo

Shae/ph360

Fractional CTO / AI Strategy Council - Remote (Contractor)

Reposted 17 Days Ago
In-Office or Remote
Hiring Remotely in Austin, TX, USA
50-250 Hourly
Expert/Leader
In-Office or Remote
Hiring Remotely in Austin, TX, USA
50-250 Hourly
Expert/Leader
Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.
The summary above was generated by AI
Join our expert bench — fractional CTO advisors wanted (hourly)

Title: Fractional CTO / AI Strategy Council — Remote (Contractor)
Location: Remote - Global (offshore-friendly to Western Europe, U.S., Canada, Australia, Latin America, Israel, Singapore, Malaysia, South East Asia)
Base fee: Hourly (paid via bank direct deposit)
Employment type: Contractor
Company: Shae Group
Website:
https://shae.group

Who We Are
Shae Group is a global AI-first technology and services group building precision AI products across health, wellbeing, education, human performance and enterprise infrastructure. We move fast, prioritize safety and reliability, and use expert judgement plus tooling to de-risk decisions and accelerate product outcomes.

Who You Are
You are a senior technology leader (CTO / Head of AI / Distinguished Engineer) who wants to advise high-impact AI product decisions. You provide concise, high-leverage guidance — design reviews, threat models, eval audits, ADRs and playbooks — and can move between strategy and technical detail. You are experienced in shipping AI at scale, communicating clearly, and delivering artifacts that leaders act upon.

You share your experience in Ai development, Ai strategy, scalable Ai production systems to form strategies, and accelerate the company’s AI roadmap and de‑risk decision making.

Your Experience Includes 

  • LLM & Multi-Agent Systems (safety, evals, retrieval, tool-use, orchestration, cost/latency engineering)
  • MLOps & Data Platforms (feature stores, pipelines, governance, labeling/feedback loops)
  • AI in Regulated Health (privacy, DPIA/TRA, clinical safety, audit trails)
  • SRE/Cloud Economics (SLOs, incident mgmt, cost/perf tradeoffs)
  • Security & Privacy (threat modeling for AI systems, secrets mgmt, data minimization)
  • Product & Growth (AI monetization, pricing, usage metering, partner integrations)

Your Responsibilities 

  • Provide clear advice-to-decision paths for new and extending projects. You propose or review Ai strategy, and implementation pathways.
  • Reference architectures, playbooks, and guardrail policies; risk registers; buy/build/partner matrices; vendor RFPs.
  • Quality checks 

Requirements

Must-have qualifications

  • 10+ yrs; prior CTO/Head of AI/Distinguished Ai Eng; shipped AI at scale; strong communication.
  • Extensive proof of Python & FAST API projects, utilising extensive LLM APIs in production systems 
  • Scaled Ai/ML systems above 1M users 
  • Handled (managed and built) complex data pipelines

Nice-to-have

• Experience in regulated healthcare or clinical AI (privacy frameworks, DPIA, compliance, audit requirements).
• Prior advisory, fractional, consulting, or board-level support experience for engineering or AI teams.


Benefits

Compensation
Hourly Rate
Engagement term: Typically 6–12 months with flexible scope and deliverables.

Payment & contractor terms
Independent Contractor status only. Payment in USD via Wise or bank direct deposit. Hourly invoicing. No employee benefits.

How to apply
• Click Apply → submit 2 authored artifacts (deck or ADR) and a short Loom explaining an AI decision you influenced and how you measured impact.
• Must complete a self-initiated Ai-video interview call and personality profile survey.
• Selected advisors invited to a short design clinic and onboarding call.

Closing note
Join a focused council of experts that materially improves decision speed, model quality and platform reliability. We move fast and value concise, high-impact advice — apply with artifacts and a short Loom.

Top Skills

AI
Decision-Ready Artifacts
Llm
Ml
Safety Models
System Design

Similar Jobs

12 Hours Ago
In-Office or Remote
United States
Mid level
Mid level
AdTech • Big Data • Digital Media • Marketing Tech • Database • Automation
As a Demand Generation Lead, you'll execute multi-channel marketing programs, optimize campaigns across email, paid media, and social, and collaborate with sales for pipeline growth.
Top Skills: GongHubspotLeadiqLinkedin Sales NavigatorSalesforce
15 Hours Ago
Easy Apply
Remote
United States
Easy Apply
102K-155K Annually
Mid level
102K-155K Annually
Mid level
Big Data • Fintech • Mobile • Payments • Financial Services
The Analyst II will provide data-driven insights and support to the sales team, define performance metrics, leverage AI tools, and ensure effective communication of strategies across teams.
Top Skills: Ai Tools (CursorClaude)LookerPythonSigmaSQLTableau
15 Hours Ago
Easy Apply
Remote
United States
Easy Apply
66K-66K Annually
Internship
66K-66K Annually
Internship
Big Data • Fintech • Mobile • Payments • Financial Services
As a Software Engineering Apprentice, you will collaborate with engineers to build infrastructure, ship code, and gain mentorship while contributing to critical projects over a 6-month apprenticeship.
Top Skills: Backend DevelopmentCodingSoftware Engineering

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account