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Solution Engineer - Data Integration Specialist

$134.75k - $210.91k

Centaur Labs

Salesforce is hiring an AI & Data Integration Specialist to join our Global Public Sector Solution Engineering team. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our customers. As a specialist, you are more than a technical expert—you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data Cloud (Unified Data Management), and agentic AI to solve complex data and AI challenges. You will serve as the single point of contact for sales teams, ensuring every data and AI opportunity is handled by a specialist who thinks like an architect, draws on prior hands‑on delivery experience, and communicates outcomes and impacts in the voice of the business user and mission owner. You will be a vital contributor to the success of our agency customers by conducting holistic discovery, reframing the “data‑to‑agentic‑AI journey,” and designing compliant, AI‑ready architectures that deliver actionable insights from disparate silos while enabling intelligent, autonomous agents. 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 the deployment strategy for intelligent agentic systems. What you get working for the AI & Data Integration SE Team: A Unified Mission: Work in a specialized team that eliminates fragmented resource requests by owning the entire data‑to‑AI lifecycle. Outcome‑First Leadership: Opportunities to lead high‑impact discovery sessions that start with agency mission outcomes (e.g., operational readiness, intelligence fusion, logistics 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 outcomes. Qualifications you’ll need to be successful: Architectural Mindset: Design secure, composable architectures that scale within highly regulated public sector environments (including FedRAMP High and Impact Level 4/5/6). Multi‑Platform Technical Depth: Previous hands‑on experience or deep conceptual knowledge across Integration (MuleSoft), Data Analytics (Tableau), Unified Data Management (Data Cloud), and agentic AI platforms. A qualified candidate will have expertise in no less than 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 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, driving the technical sales execution forward. AI Readiness: Deep understanding of “Trusted Context Foundations” for AI, including data grounding, metadata intelligence, and how unified data enables reliable agentic workflows. Collaboration & Influence: Proven ability to partner early with Account Executives to drive sales strategy and lead “Data + Agentic AI Discovery” from day one. Experience: Minimum of 5 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation, with previous hands‑on delivery experience in AI/data/integration projects. Technical Foundations: Degree in Computer Science/IT or equivalent; prior experience with APIs, cloud infrastructure (AWS, Azure, GCP), and modern development practices is preferred. US citizenship required. Preferred Qualifications: Sales acumen: This requires demonstrated sales experience, especially in a technical sales capacity, to effectively translate complex solutions into customer value. Certifications: One or more of the following: MuleSoft Certified Architect, Tableau Desktop/Server Specialist, Salesforce Data Cloud Consultant, AI Associate credentials, or equivalent. Industry Knowledge: Deep understanding of public sector/DoD compliance (FedRAMP/IL5/6) and common government data silos. Ecosystem Expertise: Familiarity with advanced data governance and MDM tools, plus prior exposure to agentic AI frameworks or orchestration patterns in past implementations. Regulated Industry Experience: Background delivering AI solutions in highly regulated or mission‑critical environments. What you’ll achieve: 3 months: Master the Stack: Complete intensive “Astro” courses and certification paths for MuleSoft Anypoint Platform, Data Cloud, Tableau, and agentic AI capabilities. Build Your Point of View: Align with the GTM Plan and begin building your “Data‑to‑Agentic AI Journey” whiteboarding and workshop skills. Shadow & Learn: Join active public sector engagements to observe how the specialist leads discovery and architects multi‑product AI + data solutions. 12 months: Own the Technical Win: Serve as the lead sales engineer on complex, multi‑cloud data and agentic AI opportunities, delivering higher win rates and faster deal cycles. Evangelize the Vision: Execute high‑impact architectural workshops and “Stand & Deliver” sessions that showcase the power of unified data as the foundation for trustworthy intelligent agents, mastering the technical sale positioning. Enable the Ecosystem: Mentor account teams and partners on how to position “Data + Integration + Agentic AI” as the foundation for mission transformation. Drive Mission Outcomes: Successfully architect solutions that unify citizen/operational data, modernize legacy systems, enable real‑time analytics, and deploy agentic AI capabilities that accelerate decision‑making and operational excellence. Salesforce offers a variety of benefits to help you live well, including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. The typical base salary range for this position is $134,750 - $210,910 annually. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $148,190 - $231,980 per year. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Employees and potential employees are assessed on the basis of merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. These policies apply to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination and everything in between. #J-18808-Ljbffr

Vacancy posted 1 day ago
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