The role involves managing AI information security operations, including incident response, playbook development, and securing AI/ML infrastructure. You will collaborate with IT and AI teams to implement security standards, monitor generative AI systems, and ensure compliance with AI governance frameworks.
Design, develop, and maintain end-to-end full stack applications while building data-heavy backend systems and ETL pipelines. Collaborate with cross-functional teams to prototype AI/ML solutions and deliver scalable enterprise software.
Design and develop full-stack applications while managing data-heavy backend systems and ETL pipelines. Collaborate with cross-functional teams to prototype AI-driven solutions and maintain high-quality software delivery.
The engineer will design and build a modern, AI-integrated application using React, TypeScript, and FastAPI on Google Cloud Platform. Responsibilities include managing data pipelines, integrating Vertex AI models, and maintaining CI/CD workflows.
The Security Architect will design and implement robust security strategies for cloud infrastructure while ensuring strict compliance with FedRAMP and CMMC standards. They will collaborate with engineering teams to manage identity strategies, system telemetry, and security visibility across the organization.
The Forward Deployed Engineer will lead the technical scoping, design, and deployment of complex AI and agentic solutions for enterprise customers. They will collaborate with sales and product teams to drive production adoption and translate field feedback into model and product improvements.
The M365 Architect will provide expert advisory for consolidating multiple Microsoft 365 tenants following M&A activities. They will also guide the strategic deployment and integration of Microsoft Copilot across the enterprise workforce.
Manage small-to-medium scale projects and workstreams using agile methodologies to ensure successful delivery of cloud and AI solutions. Act as the primary liaison between clients and technical teams while managing project financials, schedules, and health reports.
The Delivery Manager will orchestrate the migration, security, and optimization of Google Workspace for clients while managing project scope, finances, and schedules. They are responsible for gathering requirements, coordinating internal and external resources, and ensuring technical feasibility throughout the project lifecycle.
The Apigee Cloud Engineer will design, deploy, and secure API management workflows on Google Cloud Platform. Responsibilities include configuring API proxies, managing security policies, and maintaining automated CI/CD pipelines for multi-environment deployments.
The Client Outcome Architect acts as a technical strategist and hands-on builder, collaborating with sales and engineering to design and scope custom enterprise-grade AI and cloud solutions. They lead technical discovery, build prototypes, and translate complex business requirements into actionable, estimable statements of work.
