Photon
Cortex Principal / Lead ML Engineer - Enterprise Machine Learning Platform (Multi-Cloud) | Onsite
Be an Early Applicant
Design and implement enterprise-scale, multi-cloud ML platform architecture. Lead end-to-end MDLC, enforce data/compute separation, data protection, security and governance. Build on Kubernetes (OpenShift, GKE), deliver hands-on platform solutions and agentic AI prototypes, and present to executives.
We are looking for a seasoned architect with hands-on experience designing and implementing enterprise-scale AI platforms. Key qualifications include:
- Expertise in end-to-end enterprise ML platform architecture, including multi-cloud environments
- Strong knowledge of data and compute separation and integration patterns
- Comprehensive understanding of the Model Development Lifecycle (MDLC)
- Experience with data protection strategies (data at rest and in transit)
- Deep understanding of security, technology, and data governance controls
- Strong expertise in Kubernetes, including OpenShift (OCP) and GKE
- Proven hands-on experience building enterprise ML platforms
- Experience with agentic AI solutions and modern development approaches (e.g., rapid prototyping / “vibe coding”)
- Excellent communication and executive presentation skills
Compensation, Benefits and Duration
Minimum Compensation: USD 64,000
Maximum Compensation: USD 226,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Artificial Intelligence • Legal Tech
As an Enterprise Account Executive at GC AI, you'll drive sales by qualifying leads, managing trials, and closing deals in the legal tech space, leveraging exceptional AI products.
Top Skills:
Hubspot
Artificial Intelligence • Legal Tech
As a Strategic Account Executive, you will lead enterprise sales of a legal AI platform, managing complex sales cycles and building relationships with key stakeholders.
Top Skills:
HubspotSalesforce
Artificial Intelligence • Legal Tech
The Backend Integration Engineer will design and implement the data infrastructure, managing file processing and API integrations to facilitate AI capabilities for legal teams.
Top Skills:
Node.jsPostgresReactTypescript
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
