Red Hat

Artificial Intelligence

• Lead and grow a technical sub-group focused on data science, data analysis, and AI evaluation functions
• Mature and accelerate the AI evaluations function, expanding its reach across the full portfolio of experiences we deliver
• Establish and report on key metrics that demonstrate the tangible impact and accuracy of our AI initiatives to executive leadership
• Advise stakeholders on impact measurements and provide clear visibility through data products like Tableau dashboards
• Advise development teams on AI evaluation responsibilities, best practices, and provide assistance
• Collaborate with platform managers to ensure our foundational infrastructure supports advanced analytics and innovative AI performance goals
• Remove roadblocks for your team by managing high-level strategy and fostering a culture of innovation and optimization

Manager – AI Analysis and Evaluation

Security Engineer

• Serve as Red Hat's senior subject matter expert (SME) on cryptographic strategy, influencing and contributing to upstream communities (e.g., Go, python) and standards bodies (IETF)
• Own and evolve the Portfolio’s formal cryptographic policy, defining the standards for algorithm use, key lengths, and protocol implementation across all products
• Serve as the central authority for cryptographic compliance strategy, working with the Product teams and Business Unit leaders to align engineering efforts with government and regulatory requirements
• Architect and govern the strategy for a common cryptographic API in conjunction with RHEL Security
• Define the high-level requirements for our Cryptographic Bill of Materials (CBOM) and runtime auditing tools.

Principal Product Security Engineer

Technical Account Manager

• Perform technical reviews and share knowledge to proactively identify and prevent issues
• Gain an understanding of customers' technical infrastructure and environment, hardware, and products
• Partner closely with Red Hat Engineering, Product Management, and Technical Support teams to debug, test, and resolve issues
• Provide advice and guidance to customers about their current and future Red Hat products
• Advise customers on the architectural design and maintenance of Red Hat Satellite and IdM deployments to ensure scalable system management and secure identity lifecycle.
• Manage customer use cases and maintain clear and concise case documentation
• Manage customer cases, maintain clear and concise case documentation, and deliver value to customers through documenting and sharing learnings from cases through a defined knowledge management process
• Serve as the customer's advocate within Red Hat

Solutions Engineer

• Serve as the Subject Matter Expert to secure customer validation of technical solutions, supporting the account team in pre-sales engagements.
• Deliver tailored technical presentations, including deep-dive demos, workshops, and POCs, leveraging traditional and emerging tools where applicable.
• Develop technical strategies for complex opportunities, including RFx e.g. Request for Information (RFI), Request for Proposal (RFP), Request for Quotation (RFQ) responses and architecture designs.
• Collaborate with product engineering teams to align solution designs with product roadmaps and industry advancements.
• Partner with customer success and ecosystem partners to ensure smooth post-sale adoption and expansion.
• Create reusable technical assets (e.g., architecture templates, battle cards) to scale best practices.
• Mentor junior team members on solution architecture principles and stakeholder alignment techniques.
• Represent the company in technical forums, sharing insights on product capabilities and real-world use cases.

Senior Solution Architect

Full-stack Engineer

• Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI, establishing best practices for scalability, reliability, and maintainability while actively contributing to relevant open source communities
• Design and develop robust, production-grade features focused on AI trustworthiness, including model monitoring, bias detection, and explainability frameworks that integrate seamlessly with OpenShift AI
• Drive technical decision-making around system architecture, technology selection, and implementation strategies for key MLOps components, with a focus on open source technologies like KServe and TrustyAI
• Define and implement technical standards for model deployment, monitoring, and validation pipelines, while mentoring team members on MLOps best practices and engineering excellence
• Collaborate with product management to translate customer requirements into technical specifications, architect solutions that address scalability and performance challenges, and provide technical leadership in customer-facing discussions
• Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teams
• Identify and resolve complex technical challenges in production environments, particularly around model serving, scaling, and reliability in enterprise Kubernetes deployments
• Partner with cross-functional teams to establish technical roadmaps, evaluate build-vs-buy decisions, and ensure alignment between engineering capabilities and product vision
• Provide technical mentorship to team members, including code review feedback, architecture guidance, and career development support while fostering a culture of engineering excellence
• Responsible for the safe, auditable, and reliable release of Kubernetes-native AI platform components, with strong emphasis on progressive delivery, operational resilience, and supply-chain integrity.

Manager – AI Analysis and Evaluation

Principal Product Security Engineer

Technical Account Manager

Senior Solution Architect

Senior Software Engineer – AI Eval, Safety