# Technical Deployment Lead, Applied AI

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** Austin, TX, Boston, MA, New York, NY, San Francisco, CA, Seattle, WA
**Role:** Technical Program Management
**Salary:** $275k – $380k/yr
**Skills:** AI/ML, LLMs, AI Agents, Solutions Architecture, technical project management, product scoping, requirements documentation, roi measurement, kpi design, Stakeholder Management, enterprise deployment, Regulatory Compliance, security reviews, Procurement, sprint planning
**Posted:** 2026-08-13

> Leads end-to-end delivery of custom AI-agent deployments for enterprise customers in regulated industries, coordinating technical teams, executive stakeholders, product scoping, architecture decisions, and value measurement. Requires production AI/ML deployment experience, enterprise delivery expertise, and strong executive presence.

## Job Description

## Responsibilities
- Own technical delivery plans for enterprise AI-agent engagements, including SOWs, scope, milestones, dependencies, success criteria, and value hypotheses.
- Lead technical discovery by mapping workflows, identifying constraints, defining MVP scope, and shaping solution architectures.
- Drive engineering execution across internal and customer teams, managing priorities, trade-offs, risks, and the critical path.
- Define MVPs, author requirements documentation, prioritize backlogs, and manage scope as requirements evolve.
- Lead customer relationships, executive briefings, stakeholder communications, and technical discussions with senior leaders.
- Define impact hypotheses, baselines, KPIs, and pre- and post-deployment ROI measurement.
- Build reusable solution patterns, evaluation frameworks, and technical playbooks; feed field insights to Product and Research.
- Navigate security reviews, legal approvals, procurement, compliance requirements, and organizational complexity.
- Manage scope changes, expectations, contract modifications, risks, and escalations.
- Run sprint ceremonies, milestone reviews, and progress reporting.
- Travel to customer sites; 25–50% travel is expected.

## Requirements
- Experience leading AI/ML engagements or deployments in a technical, professional-services, consulting, or related role.
- Experience delivering AI, ML, or LLM-based agentic solutions into production.
- Understanding of solution patterns, integration approaches, and production deployment challenges.
- Experience in a specialized vertical such as financial services, life sciences, pharmaceuticals, retail, mining, or agriculture.
- Ability to lead architecture discussions, evaluate technical trade-offs, and direct technical delivery alongside Forward Deployed Engineers.
- Track record delivering complex, high-stakes technical projects for enterprise clients across multiple workstreams, ideally in regulated industries.
- Executive presence and ability to represent technical credibility with senior business and engineering leaders.
- Ability to thrive in ambiguity, create structure, and build new functions and processes.
- Bachelor's degree or equivalent combination of education, training, and experience.

## Compensation
- Annual compensation range: $275,000–$380,000 USD.

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