AI Integration Specialist - Customer Office
Listed on 2026-06-03
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IT/Tech
AI Engineer, Data Analyst
Job Summary
We’re seeking an experienced AI Integration Specialist to independently drive AI solution delivery within our customer office, driving innovation through the implementation and enablement of AI across Managed Services, Customer Success and Technical Account Management.
Key Responsibilities- AI Solution Design & Development:
Independently design and build complete AI solutions — agents, multi-step workflows, and integrations — making informed decisions about agent architecture, context design, retrieval strategies, and grounding techniques. - Platform Configuration & Administration:
Configure and manage AI platform environments including agent deployment, knowledge base architecture, data connector setup, access controls, and workspace organization to support scalable, reliable solution delivery. - Data Orchestration & Integration:
Connect, shape, and manage data pipelines between business systems (Salesforce, Totango, Jira, Redshift, Snowflake) and the AI platform. Design data flows that ensure agents and workflows have the right data at the right time, including field mapping, transformation logic, and ongoing data quality management. - Technical Problem-Solving & Debugging:
Independently diagnose and resolve complex issues across the AI solution stack — systematically forming hypotheses, reading documentation, reviewing logs, and isolating root causes across unfamiliar systems. - System Integration & Extensibility:
Extend platform capabilities through available integration frameworks and, where needed, develop custom connectivity solutions to bridge AI platforms with business systems as integration patterns emerge. - Workflow & Automation Development:
Design and build automated workflows and multi-step processes within AI platforms, optimizing orchestration patterns, error handling, and trigger logic for business process automation. - Program Champion Enablement:
Partner with program champions embedded in Proofpoint’s Services teams — equipping them to identify use cases, build their own solutions, and expand AI adoption within their organizations. Provide structured guidance through office hours, capability demonstrations, and consultative support. - Documentation & Knowledge Sharing:
Create and maintain feature documentation, SOPs, capability guides, and enablement materials that empower program champions and team members to effectively use and build on the platform. - Business Consulting & Opportunity Identification:
Proactively understand business workflows, pain points, and goals across Proofpoint’s Services teams to identify and frame AI opportunities — including surfacing opportunities that stakeholders may not have articulated. - AI Landscape Evaluation:
Track developments across the broader AI landscape, evaluate how emerging tools, platforms, and paradigms impact the team’s work, and bring well‑formed recommendations on when alternative solutions may be more appropriate than existing approaches. - Performance Monitoring:
Monitor AI solution performance, identify improvement opportunities independently, and iterate to ensure ongoing value delivery.
- 4‑year college degree in Computer Science, Engineering, Business, or related field (or equivalent experience).
- 4–7 years of experience in a technical, business consulting, or AI integration role with a demo portfolio.
Base Pay Range:
- SF Bay Area, New York City Metro Area: $ - $ USD
- California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska: $ - $ USD
- All other cities and states excluding those listed above: $92,100.00 - $ USD
Variable compensation and/or equity may be included.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
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