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AI Delivery Lead

Job in Seattle, King County, Washington, 98127, USA
Listing for: Salesforce, Inc.
Full Time position
Listed on 2026-06-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 123100 - 186300 USD Yearly USD 123100.00 186300.00 YEAR
Job Description & How to Apply Below
## AI Delivery Lead Apply remote type:
Office
- Flexible locations:
Washington
- Seattle time type:
Full time posted on:
Posted Yesterday job requisition :
JR346795
* To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
* Job Category Program & Project Management 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.

We are seeking an AI Delivery Lead who is passionate about transforming how teams work through AI-powered delivery practices. This hands-on role focuses on enabling individual teams and small engagements to adopt AI tools, optimize their workflows, and drive measurable improvements in delivery speed and quality. The ideal candidate combines technical depth, coaching ability, and change management skills to guide teams through the transition to AI-native ways of working.

You will work closely with product managers, engineers, designers, and other stakeholders to embed AI into daily operations, experiment with new tools, and turn insights into action.
** Champion AI-Enabled Delivery
*** Drive the adoption of AI tools and agents within assigned teams, helping them integrate AI into their daily workflows
* Coach teams on AI-assisted development practices, including prompt engineering, AI pair programming, and automated testing
* Foster a culture of experimentation and continuous improvement by providing guidance and guardrails for new AI tools
** Optimize Team Performance with Data
*** Track and analyze delivery metrics to identify bottlenecks and opportunities for AI-driven improvement
* Turn data into actionable insights, working with teams to implement changes that improve velocity, quality, and collaboration
* Build lightweight telemetry and dashboards to make performance visible and drive accountability
** Hands-On Problem Solving
*** Work directly with teams to remove impediments and address delivery challenges using AI capabilities
* Form hypotheses and drive experiments to test new AI-enabled workflows and practices
* Apply critical thinking over legacy best practices, helping teams discover what works in their specific context
** Enable Teams Through Change
*** Guide teams through the transition to AI-powered delivery models, addressing resistance and building confidence
* Facilitate workshops, training sessions, and demos to build AI literacy and adoption
* Partner with Product and Engineering leads to understand team dynamics and identify opportunities for improvement
** Drive Continuous Improvement
*** Proactively identify systemic issues that impact team performance and drive solutions
* Support the implementation of AI-PDLC and AI-SDLC practices within assigned scope
* Champion experimentation with new AI tools, methodologies, and ways of working
** Scope****:
** Operates within a single engagement or small group of teams (~10-12 teams). Focuses on tactical execution of AI delivery initiatives and direct team enablement.

Independence:
Works with guidance from senior AI Delivery Leads or Directors. Receives direction on new initiatives but is expected to execute independently. Owns specific team-level outcomes and metrics, with regular check-ins for alignment and support.

Complexity & Influence
** Complexity****:
** Addresses team-level challenges and workflow optimization. Applies AI tools to solve concrete delivery problems. Supports teams in understanding and adopting new practices, with a focus on hands-on enablement rather than strategic design.

Influence:
Influences team dynamics, behaviors, and performance within assigned…
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