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Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.
Top Skills:
Ai SystemsAWSC++Cloud SecurityData EngineeringData PipelinesDatabricksGCPJavaMachine LearningAzurePythonScikit-LearnSnowflakeTensorFlow
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.
Top Skills:
AWSC++DatabricksGCPAzurePythonSnowflake
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AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Designs and operates cloud infrastructure and enterprise AI systems, including reusable infrastructure-as-code modules, automation frameworks, SaaS integrations, observability, and policy controls. Leads incident resolution, root-cause analysis, capacity and cost optimization, and operational workflow improvements. Defines secure, scalable AI architectures and guardrails for LLM, RAG, and agentic workflows. Creates architecture documentation, runbooks, self-service resources, and engineering standards while mentoring teams and driving adoption.
Top Skills:
Agentic SystemsAWSAzureFinopsGCPGleanGoLlmsPulumiPythonRagSalesforceServicenowTerraform
The AI Enablement Engineer is responsible for designing, building and operating the company’s AI enablement platform within the IT and Security function. This role serves as the primary IT/Security representative on the cross-functional AI Enablement Council and leads the technical direction for the company’s AI gateway and related ecosystem. The position enables safe, scalable AI adoption across the business through strong platform design, clear standards, practical governance and disciplined execution.
Responsibilities- Lead the technical vision, design and operation of the company’s AI gateway and core AI enablement platform
- Define and implement standards for approved AI providers, models, data sources, shared tools and usage patterns
- Build and maintain controls for access, routing, policy enforcement, auditability and financial operations reporting across AI usage
- Implement required identity, logging and related controls in alignment with broader IT and security standards
- Partner through the AI Enablement Council to translate business needs into scalable platform capabilities and guardrails
- Support onboarding, documentation and internal enablement for business teams using approved AI tooling
- Evaluate gateway platforms and ecosystem capabilities to improve flexibility, governance and business value
- Drive reliable platform operations, issue resolution and continuous improvement across the AI environment
- 4+ years of experience in platform engineering, infrastructure engineering, security engineering or a related technical role
- Experience implementing scalable technical solutions that balance usability, governance and security
- Hands-on experience with LLM infrastructure, AI gateways, AI workflow platforms or similar AI enablement technologies
- Experience with access controls, identity integration, logging, API-based platforms and financial or usage reporting
- Ability to define standards, make sound technical decisions independently and execute in a cross-functional environment
- Strong written and verbal English communication skills
- Demonstrated ownership, reliability, curiosity and sound judgment
Sembi Austin, Texas, USA Office
4001 W. Parmer Lane, Suite 125, Austin, TX, United States, 78727
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
