AI Jobs

This role designs, deploys, manages, monitors, and optimizes AI agents across enterprise workflows. It connects agent deployment with enterprise integrations, governance, compliance, feedback loops, and measurable business outcomes.

This role owns deployment, configuration, and ongoing management of AI data agents for enterprise customers. The work includes context ingestion, data pipeline integration, operational workflows, and agent orchestration tuning.

This role leads complex deployments of frontier models for government and public-sector customers. It includes scoping, sequencing, prototyping, building full-stack solutions, and taking deployments from first prototype to stable production.

This role deploys and integrates Virtue AI's AI security platform in customer environments. The work includes demos, technical deep dives, proof-of-concepts, guardrails, governance, and enterprise app or agent security use cases.

This foundational role builds agentic AI capabilities and product flows for supplier negotiation and purchasing workflows. The work includes agents for data cleaning, classification, benchmarking, vendor communication, automated purchasing, and decision support.

This role owns deployment, integration, and ongoing performance of autonomous robotic systems in field environments. It combines customer deployment, system reliability, feedback loops, and operational enablement for real-world autonomy.

This role drives enterprise deployments, pilots, and technical discovery for a data and AI security platform. It turns ambiguous data and AI security problems into concrete deployments, integrations, and remediation workflows.

This customer-facing role builds production AI applications on an enterprise GPT platform. It designs agents, workflows, connectors, MCP integrations, guardrails, evaluation, telemetry, and lifecycle governance for real business teams.

This role works on rapid GenAI prototyping and delivery inside Google's AI Rapid Response Team. It focuses on applying AI to business problems, de-risking emerging opportunities, and building software products with GenAI techniques.

This role builds distributed systems, APIs, data infrastructure, and personalization pipelines that help Copilot adapt to user context, preferences, and workflows while preserving privacy and reliability.