Expert AI Engineer
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales activities.
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Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales activities.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales engineering solutions.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales engineering solutions.
Lead the design and implementation of the DIV Fund's evidence and analysis approach to maximize social returns on investments. Oversee the quantitative modeling of potential investments and manage the synthesis of grant results to inform future funding decisions.
Lead the technical architecture and hands-on development of a new real-time, collaborative web content platform. Partner with product and design teams to define engineering standards and build scalable backend services and visual editing interfaces.
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The role focuses on strengthening core AI systems by diagnosing performance issues and improving platform reliability and observability. You will be responsible for enhancing AI agent behavior and refactoring complex code to ensure system scalability.
Serve as a technical authority and trusted advisor to strategic enterprise customers and partners to solve business issues using the Elastic Stack. Lead the technical win by managing discovery, demonstrating product value, and communicating customer needs to engineering teams.
Drive the design and architecture of scalable, secure cloud services processing petabytes of data while defining organization-wide technical standards. Lead the transition to streaming-first workflows and establish best practices for AI-assisted and agentic engineering.
Lead the technical vision and architecture for complex back-end software solutions using the .NET ecosystem. Mentor engineering teams and oversee API governance, system integration, and DevOps optimization.
Design and govern the enterprise-grade cloud architecture for the One Data Ecosystem on GCP, ensuring stability, security, and scalability. Lead international teams to migrate legacy architectures to GCP and implement robust data and AI workloads.
Manage and oversee the entire data engineering process, from acquisition to analysis, while designing and maintaining scalable data infrastructure. Lead and mentor a team of data engineers to ensure the successful delivery of projects and technical direction.
Lead the planning and execution of large-scale automation and integration programs for hyperscale data center campuses. Manage cross-functional teams and act as the primary interface between contractors, OEMs, and owners to ensure on-time delivery and P&L ownership.
Lead the full sales lifecycle for hyperscale and colocation data center automation projects, focusing on client acquisition and revenue growth. Coordinate with internal engineering and operations teams to align technical capabilities with customer needs for large-scale critical infrastructure projects.
Lead operational strategies and financial oversight for critical infrastructure projects to ensure they meet quality, schedule, and budget targets. Manage high-performance teams and maintain strategic relationships with clients and partners in mission-critical sectors.
Perform pipe stress analysis for power piping and industrial systems to verify flexibility, stability, and equipment nozzle loads. Coordinate with multi-discipline teams, vendors, and clients to ensure project completion and safety compliance.
Define and execute the global cloud architecture and security strategy, including Zero Trust implementation and compliance readiness. Lead a global SRE organization to ensure platform reliability, cost efficiency, and scalable ML/AI infrastructure.
The role involves discovering high-value AI opportunities within healthcare operations and designing end-to-end AI prototypes. You will be responsible for scaling these solutions into production-grade systems while engaging directly with executive stakeholders.
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Lead the development and scaling of a passwordless, zero-trust digital identity platform. Take ownership of complex systems and collaborate in a high-accountability environment.
Owns the operational and technical architecture for client cybersecurity systems, translating business requirements into secure, scalable cloud-native solutions. Leads the development of engineering design documents and governs the integration of security tools across AWS GovCloud environments.
Lead the end-to-end emulation strategy on the Cadence Palladium platform for next-generation AI inference ASICs. Collaborate across RTL, DV, and Software teams to build virtual environments that accelerate firmware and OS bring-up.
Serve as the primary technical expert and trusted advisor to ensure customers maximize their ROI and adoption of the Cyera platform. This includes designing customized use cases, resolving technical blockers, and advocating for customer feedback to influence the product roadmap.
The role involves selling and managing engineering and turn-key projects focused on air pollution control technologies. Responsibilities include acting as a technical liaison between clients and providers while driving business development and project execution.
The role involves selling and managing engineering and turn-key projects focused on air pollution control technologies. The engineer will act as a technical liaison between clients and technology providers while driving business development and branding.
The role involves selling and managing engineering and turn-key projects focused on air pollution control technologies. Responsibilities include acting as a technical liaison between clients and providers while driving business development and project delivery.
The role involves selling and managing engineering and turn-key projects focused on air pollution control technologies. Responsibilities include acting as a technical liaison between clients and providers while driving business development and project execution.
The Staff Security Engineer will define the multi-year security roadmap and build secure-by-default infrastructure, including authentication and authorization services. They will also lead AI-native security initiatives and implement company-wide security visibility through scorecards and data tagging.
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Lead the analytic strategy and deliver high-impact insights across complex healthcare customer engagements. Manage a team of analysts and BI developers to build scalable frameworks for medical economics and population health.
Design and maintain hypervisor and Kubernetes clusters, Linux/Windows VMs, and storage area networks with a focus on automation. Provide technical leadership and mentorship to engineers while leading cross-functional initiatives to improve platform reliability and security.
Design and implement advanced ML models and statistical methods to optimize forecasting and decision-making for a DoD customer. Manage data provenance, lineage reporting, and resource utilization within an Agile development framework.
Lead CRM transformation and solution architecture for manufacturing clients, focusing on Salesforce platform design and business process redesign. Act as a trusted advisor to senior stakeholders while overseeing delivery and supporting pre-sales activities.
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