Director of AI Platforms, Texas Institute Electronics

Position: Director of AI Platforms, Texas Institute for Electronics
** Job Posting

Title:

** Director of AI Platforms, Texas Institute for Electronics**---
- **** Hiring Department:
** Texas Institute for Electronics**---
- **** Position Open To:
** All Applicants**---
- **** Weekly Scheduled

Hours:

** 40**---
- **** FLSA Status:
** To Be Determined at Offer**---
- **** Earliest

Start Date:

** Ongoing**---
- **** Position Duration:
** Expected to Continue**---
- ***
* Location:

** AUSTIN, TX**---
- **** Job Details:**##
** General Notes**## ### About TIETexas Institute for Electronics (TIE) is a transformative, well-funded semiconductor foundry venture combining the agility of a startup with the scale of a national initiative.

Our Mission A key part of our mission is to advance the state of the art in 3D heterogeneous integration (3

DHI), chiplet-based architectures, and multi-component microsystems- catalyzing breakthroughs across microelectronics, artificial intelligence, quantum computing, high-performance computing, and next-generation healthcare devices.

Our Impact Backed by $1.4 billion in combined funding from DARPA, Texas state initiatives, and strategic partners, we are building foundational capabilities in advanced packaging and integrated design infrastructure to restore U.S. leadership in microelectronics manufacturing.

Our Technology Our 3

DHI and chiplet integration platforms integrate novel thermal management and advanced interconnect solutions to deliver unprecedented performance and energy efficiency. Operating at the intersection of defense electronics and commercial markets, TIE offers a rare opportunity to reimagine an industry from the ground up and build transformative products with global impact. UT Austin, recognized by Forbes as one of , provides outstanding  and  packages that include:
* Competitive health benefits (employee premiums covered at 100%, family premiums at 50%)
* Voluntary Vision, Dental, Life, and Disability insurance options
* Generous paid vacation, sick time, and holidays
* Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds
* Additional Voluntary Retirement Programs:
Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b)
* Flexible spending account options for medical and childcare expenses
* Robust free training access through Linked In Learning plus professional conference opportunities
* Tuition assistance
* Expansive employee discount program including athletic tickets
* Free access to UT Austin's libraries and museums with staff
* Free rides on all UT Shuttle and Austin Cap Metro buses with staff
* For more details, please see  and   and##
** Purpose
* * Drive the design, deployment, and optimization of enterprise-grade LLM systems, ensuring scalable, secure, and high-performance AI solutions tailored to complex organizational needs. Lead technical innovation across architecture, MLOps, and retrieval-augmented generation to deliver impactful, privacy-compliant AI capabilities.##
** Responsibilities
* ** Define and lead the software architecture and implementation roadmap for a scalable, modular AI infrastructure platform. You will work across backend, orchestration, and deployment layers—focusing on performance, security, and reliability.
* Build and manage a high-caliber engineering team, including backend developers, platform engineers, and site reliability engineers. You will be responsible for mentoring, hiring, and setting a culture of technical excellence and operational discipline.
* Own core services that power AI pipelines, including APIs for data ingestion and transformation, orchestration of model inference jobs, and integration with LLM orchestration layers and vector stores.
* Establish technical strategy and design standards that support rapid prototyping, automated testing, and code reuse across teams. You will define best practices and lead by example in system design, code reviews, and architectural discussions.
* Lead on-premise deployment strategy, ensuring our stack is optimized for hybrid environments. You will manage challenges around air-gapped deployments, resource management, and update rollouts in constrained environments.
* Collaborate…