A productized implementation service that turns stalled enterprise AI experiments into governed, integrated production workflows.
Added Jun 28, 2026
Many companies have AI prototypes, vendor demos, and scattered internal experiments, but lack the delivery leadership to connect them to real systems of record and daily operations. The hard buyer job is not learning about AI; it is selecting one valuable workflow, designing the data and reliability architecture, deploying it safely, and training teams to operate it. Hiring signals show demand for people who can combine pre-sales architecture, enterprise integration, production deployment, and organizational enablement.
Offer a fixed-scope AI production sprint for mid-market and enterprise teams with one workflow selected upfront, such as compliance analytics, support triage, knowledge retrieval, or internal operations automation. The delivery includes workflow discovery, data access mapping, LLM? architecture, guardrails, integration buildout, pilot deployment, usage training, and a handoff operating playbook. The first version is a high-touch service with reusable templates, reference architectures, evaluation harnesses, and integration patterns that can later become a managed platform or productized implementation package.
Enterprises are past the demo phase and are now trying to centralize AI work, reduce cost-to-serve, modernize knowledge architecture, and deploy agentic workflows safely. The gap is practical delivery capacity, not general AI awareness.
Showing 1-20 of 20 signals
Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production Deep dive into users’ problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions
Ship AI that changes the business, not demos. Take the natural-language assistant and the broader AI surface from plan to production: evals, guardrails, tenant-safe tool use, and features customers feel. You know when to lean on a foundation model, when to fine-tune, and how to keep agentic workflows on the rails in a multi-tenant system.
As a Software Engineering Manager, you will build and deliver Cohesive Agentic Experiences (CAE) - a transformative initiative within Google. Your mission is to transform Google into an AI-powered enterprise by evolving internal tools into a unified, proactive, and context-aware agentic ecosystem. This is a high-visibility role with direct engagement with VP/SVP leadership, where you will lead the development of autonomous agent capabilities and transformative agentic workflows. You will steer a growing team of engineers building a large-scale agentic platform and a unified "Super Agent" capability used by every Googler.
What You Can ExpectYou'll design, implement, and own the inference systems that serve Zoom's AI models at production scale -- across real-time communication, vision, and language workloads. You'll be hands-on with kernel-level optimisation, infere... As a Principal AI Architect specializing in Agentic AI, you will design and oversee the development of intelligent agent systems for various industry verticals as part of Zoom AI Companion (AIC). Your architectural vision will ...
As a Senior Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.
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