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Lead end-to-end AI strategy engagements: diagnose workflows, prioritize high-ROI AI bets, design and ship agentic workflows with engineers, and drive adoption across client organizations and C-suite stakeholders.

Lead end-to-end AI workflow strategy and rollout for enterprise clients: run diagnostics, design and ship agentic workflows with engineers, drive post-launch adoption, train internal champions, and produce repeatable playbooks. Act as the C-suite-facing owner who translates between executives and engineering and delivers measurable business outcomes.

Build and ship production AI systems and agentic workflows in client codebases, produce public educational content, lead workshops/hackathons, and manage end-to-end client features and deployments.

Write and edit long-form and short-form B2B content while operating and improving AI-driven content production pipelines. Build and maintain prompt libraries, agent stacks, and evaluators, test frontier AI tools, source proprietary insights, and meet weekly publishing targets across research, applied, and education content pillars.

Build production-ready AI software using leading model-based coding tools, create educational content (videos, threads, playbooks), and run customer workshops to teach operators and leaders how to use AI tools. Own the end-to-end cadence from build to content to customer enablement, staying current on new models and tooling.

Build production-ready AI software using Claude Code, Codex, Gemini and similar tools; create videos, posts, threads, and playbooks; run customer workshops and hackathons; stay on the model/tooling frontier; and drive a repeatable build→content→workshop cadence that turns audience attention into customer engagements.

Build production-ready AI software using frontier coding tools, create educational content (videos, posts, playbooks), and lead customer workshops and hackathons. Test new models and tools, translate capabilities for operators and leaders, and run a repeatable build→content→workshop cadence to drive customer adoption and market presence.

As a Forward Deployed Engineer at Tenex, you'll embed into client teams to design, build, and deploy AI workflows that transform operations, ensuring production-ready systems and workflows across various industries.

AI Strategists at Tenex lead engagements to improve workflows with AI, collaborating with clients to increase adoption and optimize business processes.

Tenex hires intact teams (2–5 people) to embed with clients and build production-grade AI systems end-to-end. Teams work on high-urgency, high-agency projects, shipping resilient workflows and datasets alongside partners like Anthropic and OpenAI. Role requires in-person NYC work, frequent client travel, and meeting Tenex's rigorous hiring bar.