×
Register Here to Apply for Jobs or Post Jobs. X

Agentforce Community Lead & Sr. Technical Architect

Job in Lakewood, Jefferson County, Colorado, USA
Listing for: salesforce.com, inc.
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Consultant
Job Description & How to Apply Below

Job Category

Customer Success

Job Details About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Applications will be accepted until 06/30/2026.

The Agentforce Community Lead and Senior Technical Architect

is a recognized expert and demonstrated thought leader in the technical and functional application of Agentforce for enterprise customer engagements. This role significantly influences the successful architecture and delivery of complex Agentforce projects, while driving expertise, knowledge sharing, and community growth within the CSG Professional Services team.

This senior-level position sits within CSG Professional Services, on the Data Excellence team. Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise; documenting reference architecture;

building reusable tools, assets, and patterns; running live enablement sessions; and providing field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements.

Key Responsibilities
  • Community Strategy & Growth: Develop and execute a strategy to build, grow, and foster a vibrant community of Agentforce practitioners within Professional Services.
  • Customer Project Delivery: Spend approximately 50% of the time as a billable individual contributor on strategic Professional Services customer engagements, leveraging deep Agentforce expertise to design and implement solutions.
  • Enablement Content & Delivery: Create and maintain an evolving library of enablement content, including documentation, guides, templates, reusable assets related to Agentforce solution design, implementation patterns, and recommended approaches.
  • Training & Workshops: Design and deliver live enablement sessions, webinars, lunch 'n learn events, and Ask Me Anything (AMA) sessions to scale Agentforce knowledge across the organization.
  • Certification Support: Develop and run initiatives to support CSG employees in achieving Agentforce certifications.
  • Community Engagement: Actively engage with the internal community through Slack, answering technical questions, providing guidance, and facilitating peer-to-peer knowledge sharing.
  • Knowledge Repository: Maintain and curate a central repository for Agentforce knowledge, resources, and successful project patterns.
  • Measure Impact: Determine and track program measurement strategies to understand the reach and impact of community enablement initiatives within the Delivery organization.
  • Voice of the Customer: Gather and synthesize feedback from the community and project experiences to provide insights back to Product and Engineering teams.
Qualifications & Skills
  • Practical, hands‑on, real‑life Agentforce experience guiding customers on the use of the technology.
  • Salesforce Agentforce Specialist certification and Agent blazer Legend status required.
  • Experience creating and delivering technical enablement content and training for technical audiences.
  • Experience with AI‑related data integration technologies and concepts, including MCP, RAG, vector databases, search indexes, and knowledge bases.
  • Comprehensive knowledge of the rapidly evolving LLM (Large Language Model) landscape, including understanding the specifications, strengths, weaknesses, and ideal application scenarios of major foundational models, the tooling ecosystem, and the state of frontier models relevant to enterprise AI…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary