Salesforce AI Technical Manager
Listed on 2026-05-13
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Software Development
Cloud Engineer - Software, DevOps
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service.
Work You’ll DoLead the design, development, and deployment of sophisticated solutions leveraging Salesforce Public Sector Solutions and emerging capabilities like Agentforce within high‑impact mission‑critical programs.
Establish and manage robust CI/CD pipelines and Dev Ops processes for solutions ensuring rapid and secure delivery.
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.
Operate across the entire technology stack, from backend integrations with large data platforms (e.g., Salesforce Data Cloud, Informatica, Databricks, Palantir Foundry) to front‑end user experiences.
Work directly with senior government clients, providing technical leadership and translating complex mission requirements into scalable, forward‑thinking solutions.
Qualifications Required3–5 years in a technical management or team‑leadership role, with a proven track record of guiding engineering teams to deliver complex projects.
5+ years of experience in software engineering, with a significant portion focused on Salesforce and full‑stack development.
Deep expertise in Salesforce development, including Apex, LWC, and a strong understanding of Salesforce Public Sector Solutions. Desired experience includes configuring integrated products like Slack and emerging capabilities such as Agentforce.
Proficient in establishing and managing CI/CD pipelines (e.g., Azure Dev Ops, Jenkins, Git Lab) for automated testing and deployment in secure environments.
Practical experience building with AI tools (e.g., Claude Code, Git Hub Copilot). Ability to integrate AI and GenAI capabilities into applications and development workflows.
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, with the ability to architect and build end‑to‑end solutions.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Must obtain and maintain required clearance for this roleMust be local to the Washington, D.C. metropolitan area for on‑site client and team engagement.
Ability to travel 20–50%, on average, based on the work you do and the clients and industries/sectors you serve.
PreferredExperience with integration tools like Mule Soft.
Verifiable, hands‑on experience building and deploying solutions in secure environment.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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