
A productized implementation service that designs, deploys, evaluates, and reports business impact from AI agents inside high-volume enterprise workflows.
Added Jun 28, 2026
Enterprises are experimenting with AI agents, but many lack the internal operating model to move from demos to production workflows with measurable financial impact. The painful job is not simply building an agent; it is selecting the right workflow, defining success metrics, creating evals and governance, integrating with operational systems, and proving value to senior leaders. Companies hiring for these roles are trying to bridge strategy, engineering, product, delivery, and change management at the same time.
Start as a managed AI agent deployment office for one operational function, such as staffing, supply chain, customer operations, or back-office intake. The first offer is a fixed-scope 6 to 8 week engagement that maps one workflow, builds an agent harness and evaluation suite, ships a controlled pilot, and produces value-capture reporting for leadership. Over time, the service can productize repeatable components such as eval templates, deployment playbooks, operating model artifacts, and ROI? reporting workflows.
Companies are moving past generic AI exploration and hiring dedicated teams to operationalize agents in real customer workflows. The gap is now delivery capability: operating models, evals, orchestration, integrations, and measurable business impact.
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Design and operationalize the future-state operating model, governance, and performance framework. Partner with product, technology, and AI teams to shape the Agentic AI vision and embed AI-driven capabilities that leapfrog sales ops into next-generation operating practices.
Build scalable AI engineering workflows covering model evaluation, experimentation, deployment, and continuous improvement. Lead the development of agentic AI capabilities, including multi-agent workflows, tool integration, memory, and orchestration.
You will serve as a key technical stakeholder for AI and automation within Business Operations. Your work will span AI agents, workflow orchestration, internal applications, data infrastructure, and lightweight product development. You will build durable solutions that improve operational efficiency and create better experiences for employees and members. As AI capabilities continue to evolve, you will help Axial identify, evaluate, and apply emerging technologies that create meaningful business value.
Define and execute enterprise AI transformation strategy aligned with business objectives. Architect and scale Agentic AI workflows and intelligent automation solutions across Finance, HR, GTM, Legal, IT, and Operations.
Establish and lead the programmatic framework for identifying, prototyping, and deploying AI/ML solutions (including Large Language Models (LLMs) and GenAI) to automate business-as-usual (BAU) tasks, such as project planning, intake, portfolio tracking, quality monitoring, and ongoing maintenance. Scale the adoption of AI agents across the organization, establishing best practices, training, and frameworks for agentic workflow development.
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