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Roles
Compensation
USD 132600 - 182250
$132,600- $182,250 + Bonus
- Salary period
- yearly
- Location basis
- unspecified
- Bonus
- Bonus
Benefits
- Bonus
Tech stack
Required
Location
Work From Home (WFH) in Arizona, remote
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- WFH in Arizona preferably, will consider remote
- Remote scope
- country-limited
Role details
Responsibilities
- Lead AI-enabled enterprise software initiatives built with GenAI and agentic AI
- Partner with business leaders, product managers, and data scientists to identify high-value AI opportunities
- Translate ambiguous business problems into practical AI-enabled solutions
- Design and build core services, APIs, and orchestration pipelines connecting LLMs and agentic workflows to enterprise data and systems
- Provide technical direction to distributed engineering teams
- Lead design and code quality practices
- Help teams ship secure, scalable, production-grade solutions
- Shape platform standards around reliability, observability, governance, and responsible AI
- Partner with senior leaders and drive execution across teams
- Turn GenAI from experimentation into durable business value
Application
DM me or apply here
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
- external
Company context
- Product
- enterprise software built with GenAI and agentic AI
Description
We’re hiring an AI Staff Engineer to help lead the next wave of enterprise software built with GenAI and agentic AI. This is a senior technical leadership role for someone who can combine strong engineering depth with real business partnership and influence across product, data, architecture, and executive stakeholders. You’ll work closely with business leaders, product managers, and data scientists to identify high-value opportunities where AI can reduce friction, improve efficiency, lower risk, and create measurable business impact. A big part of the role is translating ambiguous business problems into practical AI-enabled solutions and helping leaders make smart decisions about where and how to invest. On the technical side, you’ll design and build core services, APIs, and orchestration pipelines that connect LLMs and agentic workflows to enterprise data, systems, and digital platforms. You’ll provide technical direction to distributed engineering teams, lead design and code quality practices, and help teams ship secure, scalable, production-grade solutions. You’ll also play a key leadership role in shaping platform standards around reliability, observability, governance, and responsible AI. We want someone who can partner credibly with senior leaders, drive execution across teams, and turn GenAI from experimentation into durable business value.
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