Partner with the business-facing GSI leader to define and execute MinIO's global GSI strategy.
Architect and evangelize end-to-end AI Factory reference architectures spanning compute, GPU, Kubernetes, storage, and AI frameworks.
Influence C-level executives and lead technical workshops with strategic partners like NVIDIA and Databricks.
MinIO provides the data and memory foundation for enterprise AI, offering AIStor and MemKV to unify data across core, edge, and cloud. Trusted by 77% of the Fortune 100, the company is redefining how AI factories secure, persist, and unlock data value.
Define and execute AI architecture strategies and technical roadmaps aligned with organizational goals.
Design scalable AI platforms leveraging Generative AI, LLMs, RAG, and automation.
Lead technical evaluations of emerging AI technologies and guide teams from proof-of-concept to production.
LTS is a technology solutions provider focused on AI and digital transformation for federal and enterprise clients. They foster a culture of innovation, growth, and collaboration.
Lead the technical vision and architectural strategy for Experian's cloud-native platform and agentic AI capabilities.
Define and promote agentic AI architecture patterns, including multi-agent systems, tool orchestration, and LLM routing.
Establish and govern DevOps standards, including CI/CD pipeline design, GitOps practices, and deployment strategies.
Experian is a global data and technology company powering opportunities for people and businesses across financial services, healthcare, automotive, and more. The company has a team of 25,200 people in 32 countries and is known for its people-first, inclusive culture.
Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production deployment.
Design production-grade RAG systems, vector search, AI agents, and multi-agent workflows using Snowflake Cortex and related capabilities.
Lead client discovery workshops, solution design, and pre-sales activities while providing technical leadership across teams.
BlueCloud is a Snowflake Elite Partner that helps enterprises migrate from legacy systems to unified, AI-ready Snowflake platforms, delivering data and AI solutions 40–50% faster. With 450+ Snowflake consultants and 200+ enterprise transformations, the company combines advisory-led thinking with AI-powered accelerators in a culture of rapid execution.
Define architecture and technical strategy for highly scalable AI systems.
Lead complex model serving and inference initiatives while optimizing performance and cost.
Mentor senior engineers and influence cross-functional AI strategy and product direction.
The company builds critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a fast-growing organization with a collaborative, fast-moving culture where engineers have meaningful influence on architecture and product direction.
Define and evolve architecture and engineering practices across multiple teams.
Build and ship production systems across AI, backend, cloud, infrastructure, and full-stack applications.
Mentor engineers and raise technical quality through hands-on leadership.
G-P is a leading SaaS-based Global Employment Platform that enables clients to expand into over 180 countries quickly and efficiently. They have a diverse, remote-first team and foster an innovative culture where every contribution is valued.
Define and drive the technical architecture for AI, data, and platform initiatives supporting Anomali's product strategy.
Translate product strategy and customer outcomes into scalable architecture and implementation plans, balancing near-term delivery with long-term maintainability.
Partner closely with Product Management, Engineering, Data Science, and UX to ensure technical decisions align with the five-level maturity model.
Anomali delivers the first Intelligence-Native Agentic SOC Platform, unifying a security data lake, threat intelligence, and agentic AI into a single experience. The company is headquartered in Silicon Valley and fosters a culture of innovation and security.
Lead the design and implementation of production-grade ML and Generative AI solutions on AWS, acting as a trusted advisor for customers running AI/ML workloads at scale.
Drive customer health and product adoption within the install base, translating complex business problems into secure, reliable, and cost-efficient cloud architectures.
Turn one-off solutions into reusable patterns and contribute to product feedback, internal enablement, and the culture of continuous improvement within the global FDE community.
DoiT is a global technology company that helps cloud-driven organizations leverage public cloud for business growth, combining data, technology, and human expertise. With decades of multicloud experience and specializations in Kubernetes, GenAI, and CloudOps, we serve over 4,000 customers worldwide as an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure.