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Client Partner AI Engineering; TMT

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: BlackCube Labs
Full Time position
Listed on 2026-06-16
Job specializations:
  • Engineering
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 250000 - 300000 USD Yearly USD 250000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Client Partner AI Engineering (TMT)

It's fun to work in a company where people truly BELIEVE in what they are doing!

We’re committed to bringing passion and customer focus to the business.

Client Partner – AI Engineering (TMT)

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client‑facing Client Partner – AI Engineering (TMT) to shape and deliver world‑class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back‑office engineering role. This is a consulting‑led, client‑facing engineering leadership position for someone who is equally comfortable whiteboard­ing architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Location: San Francisco, CA / Bay Area

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four‑axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Client Partner – AI Engineering (TMT), you will personally shape the architecture of mission‑critical AI/ML platforms, often in first‑party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first‑party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid‑execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands‑On Architecture)
  • Own AI/Data platform architecture decisions — from Lakehouse design and real‑time streaming to MLOps, LLMOps, and Agent Ops pipelines in production
  • Serve as the technical authority for Fractal’s TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
  • Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
  • Drive the industrialization of GenAI: moving clients from proof‑of‑concept to enterprise‑grade, governed, and observable AI systems
Executive Presence & Live Architectural Thinking
  • Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
  • Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid‑execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
  • Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
  • Shape client roadmaps at the strategic level; identifying where the current plan is under‑ambitious, over‑engineered, or misaligned with emerging AI capabilities, and steering accordingly
  • Represent Fractal at the highest level of client relationship
Team Leadership (Building & Driving Senior ICs)
  • Develop and lead a high‑performing group of individual contributors; principally senior and staff engineers, ML engineers, and data platform engineers
  • Create the engineering culture: rigorous delivery standards,…
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