below marketmost similar roles pay hereabove market
This role pays more than
50%
of similar roles. Most pay
$183,243–$272,660
— the blue band above.
At the midpoint, this role pays about
$227k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About Franklin Templeton
Franklin Templeton is a global investment management organization offering a wide range of mutual funds, ETFs, and alternative investment solutions to retail and institutional investors worldwide. Industry: Investment Management & Asset Management
Franklin Templeton currently has
17 open roles
on FindRole.
Listed pay typically runs
$140,000–$174,500
across 17 roles with salary data.
JOB TITLE: Head of AI Community
The Head of AI Community is a senior leader responsible for building and growing an internal AI community and open source-style reuse ecosystem. This role involves specifying the platform, governance, contribution models, and incentive structures that allow teams to share AI software components, agent skills, and reusable patterns. The successful candidate will build an internal open-source mechanism for AI assets, including source code control, documentation standards, and release practices. Key responsibilities include creating a searchable repository of prompts and workflows, establishing a sandbox environment for testing, and managing community forums and office hours. Required skills include experience in InnerSource, developer relations, or AI platform strategy, alongside a deep understanding of software engineering workflows, retrieval, and production risk considerations to solve the problem of duplicated AI work.
Specify and build the internal open-source mechanism for AI assets, including source code control and contribution workflows.
Create a searchable repository of AI software components, agent skills, prompts, and reference architectures.
Establish a sandbox environment for practitioners to safely explore and test reusable AI components.
Design and operate an AI-driven intake system to translate business needs into relevant assets and patterns.
Build and manage the community forum, communication channels, office hours, and contributor onboarding pathways.
Create incentive structures and recognition systems with HR to reward contribution, maintenance, and mentorship.
Measure adoption, asset quality, time saved, and community engagement to track platform success.
What we're looking for
Senior experience in InnerSource, open-source program leadership, developer relations, developer platform product management, AI platform strategy, engineering enablement, or technical community leadership.
Strong understanding of software engineering workflows, source code control, contribution models, code review, documentation, release practices, and component ownership.
Working knowledge of modern AI application patterns, including agents, reusable skills, prompt assets, evaluation patterns, retrieval, workflow automation, and production risk considerations.
Demonstrated ability to drive adoption of a new platform, practice, or community across teams.
Experience creating governance models that improve quality and trust without creating excessive bureaucracy.
Ability to influence senior leaders, HR partners, platform teams, security/risk partners, and individual contributors.
Charismatic community builder who can make contributions feel prestigious, practical, and safe (preferred).
Strong product instincts for making reuse easy, including discoverability, documentation, onboarding, trust signals, and sandboxing (preferred).
AI
Machine Learning
Large Language Models
LLMs
Agentic Architectures
Autonomous Agents
AI Copilots
Model Deployment
Workflow Automation
Knowledge Retrieval
Multimodal Models
AI Infrastructure
Model Evaluation
Tool Orchestration
open-source AI
AI
Machine Learning
LLM
MLOps
RAG
Data Engineering
AWS
Azure
GCP
Data Lake
Feature Store
Real-time Streaming
Model Serving
Observability
Prompt Engineering
IoT
AI
Agentic Systems
Model Serving
Multi-model Orchestration
AWS
GCP
Azure
API
MCP
infrastructure-as-code
FinOps
Responsible AI
Model Evaluation
Guardrails