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Public Sector AI & Data Integration Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Centaur Labs
Full Time position
Listed on 2026-05-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Category

Sales

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 for this position will be accepted on an ongoing basis.

Salesforce is hiring an AI & Data Integration Solution Engineer to join our Global Public Sector team, specifically supporting the US Federal region. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our government customers.

As an AI & Data Integration specialist, you are more than a technical expert— you are a strategic architectural partner who consolidates expertise across Mule Soft (Integration), Tableau (Analytics), Data 360 (Unified Data Management), and agentic AI to solve complex data and AI challenges for [area] customers. In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and intelligent agentic systems.

The Solution Engineer role focuses on closing sales opportunities— collaborating with account executives, customers, and partners to formulate a comprehensive technical account strategy and secure the technical win. You will lead activities to support the sales process including product demonstrations, technical workshop delivery, architecture strategy sessions, and other customer engagements. You will contribute to the success of customers by conducting holistic discovery, defining the “data-to-agentic-AI journey,” and designing compliant, AI‑ready architectures that deliver actionable insights from disparate silos while enabling intelligent, autonomous agents.

What

you get working for the AI & Data Integration SE Team
  • A Unified Mission:
    Work in a specialized team that owns the entire data-to-AI lifecycle.

  • Outcome-First Leadership:
    Opportunities to lead high-impact discovery sessions that start with agency mission outcomes (e.g. citizen services, public safety, legacy modernization) rather than product features.

  • Strategic Growth:
    Support from leaders committed to your mastery of the “Data 360 + Agentic AI” vision, including integration, analytics, unified data management, and intelligent agentic capabilities.

  • Innovation at Scale:
    Work for the #1 AI CRM company, building the trusted data foundations and agentic architectures required for the next generation of autonomous AI agents that accelerate defense outcomes.

Qualifications you’ll need to be successful
  • Architectural Mindset:
    Design secure, composable architectures that scale within regulated government environments (including FedRAMP High and Impact Level 4/5/6).
  • Multi-Platform Technical Depth:
    Previous hands‑on experience or deep conceptual knowledge across Integration (Mule Soft), Data Analytics (Tableau), Unified Data Management (Data 360), and agentic AI platforms. A qualified candidate will have expertise in two of the core data/integration capabilities plus demonstrated prior experience with agentic AI; a great candidate will have exposure across all.
  • Agentic AI

    Experience:

    Demonstrated experience (2+ years is highly valued) with agentic AI solutions, including prior hands‑on work designing or deploying intelligent agents, LLM integration strategies, orchestration frameworks, prompt engineering, and Retrieval‑Augmented Generation (RAG) patterns.
  • Strategic Communication:
    Excellent ability to reframe technical challenges into mission and business value for C‑level government executives and technical stakeholders alike.
  • AI Readiness:
    Deep understanding of “Trusted Context…
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