Salesforce Technical AI Engineer (Senior Consultant, Technical Transformation)
- 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
- Establish and manage robust CI/CD pipelines and DevOps 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 (like Salesforce Data Cloud, Informatica, Databricks, and 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
- 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
- Bachelor's degree
- 3-5 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 DevOps, Jenkins, GitLab) for automated testing and deployment in secure environments
- Practical experience building with AI tools (e.g., Claude Code, GitHub 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 be able to obtain and maintain the required clearance for this role
- Must 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
- Experience with integration tools like MuleSoft
- Verifiable, hands-on experience building and deploying solutions in secure environment
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