Diligente Technologies

Looking for: Global AI Engineering Community and Enablement Lead
Job Type: Contract
Location: San Francisco, CA (Hybrid)
Overview
We are seeking a Global AI Engineering Community and Enablement Lead to drive adoption, standards, and best practices across our global AI engineering ecosystem. This role will lead the enablement of engineering teams in applying LLMs, agentic systems, and AI SDLC practices effectively, while ensuring responsible AI governance and measurable business impact.
The ideal candidate combines deep technical expertise in AI engineering with strong leadership in community building, enablement, and global collaboration.
Required Technical Skills
AI Engineering &amp; LLMs: Prompt engineering, RAG, MCP, agents, multi-agent systems, model selection, context engineering
Software Engineering: Architecture, coding practices, testing, design patterns, APIs, cloud-native development
AI SDLC Architecture: How AI fits into Planning → Design → Build → Test → Deploy → Operate lifecycle
Agentic Systems Design: Designing agent roles, orchestration, handoffs, approval gates, tool usage
LLMOps / AgentOps: Evaluation, deployment, observability, monitoring, cost tracking, model governance
DevSecOps &amp; Platform Engineering: CI/CD, Infrastructure as Code, security gates, quality automation
Responsible AI &amp; Governance: Human-in-the-loop, risk controls, policies, auditability, compliance
Knowledge &amp; Context Engineering: Creating reusable context, standards, playbooks, patterns, and guardrails for agents
Metrics &amp; Value Realization: Productivity metrics, quality metrics, AI ROI, DORA, adoption measurements
Qualifications
<ul>
<li>8+ years in software engineering, with 5+ years in AI/ML engineering or platform enablement.
</li>
<li>Proven experience with LLMs, agentic systems, and AI SDLC practices.
</li>
<li>Strong background in DevSecOps, cloud-native engineering, and governance frameworks.
</li>
<li>Track record of building global communities of practice or enablement programs.
</li>
<li>Excellent communication and leadership skills, with ability to influence across distributed teams.
</li>
</ul>
Leadership Attributes
<ul>
<li>Community Builder: Inspires collaboration across global engineering teams.
</li>
<li>Strategic &amp; Hands-On: Comfortable in both architecture deep dives and enablement strategy.
</li>
<li>Outcome-Driven: Focused on measurable adoption, productivity, and ROI.
</li>
<li>Responsible Innovator: Balances experimentation with governance and compliance.
</li>
<li>Inclusive Leader: Builds diverse, empowered teams and fosters psychological safety.
</li>
</ul>

Global AI Engineering Community and Enablement Lead

Global AI Engineering Community and Enablement Lead

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