Salesforce Technical AI Engineer (delivery Management Engineer Iii)

This role is for a Technical Manager specializing in Salesforce, focusing on leading the design, development, and deployment of sophisticated solutions that leverage Salesforce Public Sector Solutions and emerging capabilities like Agentforce. The role involves establishing CI/CD pipelines and DevOps processes, embedding GenAI and modern AI practices into the development lifecycle, and operating across the full technology stack. The candidate will work directly with senior government clients, providing technical leadership and translating requirements into scalable solutions. Experience with AI tools like Claude Code and GitHub Copilot is required, along with hands-on experience with large-scale data platforms.

What you'd actually do

  1. Lead the design, development, and deployment of sophisticated solutions leveraging Salesforce Public Sector Solutions and emerging capabilities like Agentforce within high-impact mission critical programs
  2. Establish and manage robust CI/CD pipelines and DevOps processes for solutions ensuring rapid and secure delivery
  3. Act as a technical manager and hands-on innovator, embedding GenAI and modern AI practices directly into the development lifecycle to accelerate delivery and enhance system capabilities
  4. Operate across the entire technology stack, from backend integrations with large data platforms (like Salesforce Data Cloud, Informatica, Databricks, and Palantir Foundry) to front-end user experiences
  5. Work directly with senior government clients, providing technical leadership and translating complex mission requirements into scalable, forward-thinking solutions

Skills

Required

  • 3-5 years in a technical management or team leadership role
  • 5+ years of experience in software engineering
  • significant portion focused on Salesforce and full-stack development
  • Deep expertise in Salesforce development, including Apex, LWC
  • strong understanding of Salesforce Public Sector Solutions
  • Proficient in establishing and managing CI/CD pipelines (e.g., Azure DevOps, Jenkins, GitLab)
  • Practical experience building with AI tools (e.g., Claude Code, GitHub Copilot)
  • Hands-on experience with large-scale data platforms such as Salesforce Data Cloud, Informatica, Databricks, or Palantir Foundry
  • Comprehensive skills covering both front-end and back-end development
  • Ability to architect and build end-to-end solutions
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

Nice to have

  • Experience with integration tools like MuleSoft
  • Verifiable, hands-on experience building and deploying solutions in secure environments
  • Desired experience includes configuring integrated products like Slack and emerging capabilities such as Agentforce

What the JD emphasized

  • AI native—fluent in building with AI, not just building AI-powered apps
  • Practical experience building with AI tools (e.g., Claude Code, GitHub Copilot). Ability to integrate AI and GenAI capabilities into applications and development workflows

Other signals

  • Leverage cutting-edge tools to accelerate development
  • pioneer new solutions
  • embedding GenAI and modern AI practices directly into the development lifecycle