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AI Integration Specialist - Customer Office

Job in Kenner, Jefferson Parish, Louisiana, 70062, USA
Listing for: Proofpoint
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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. This fully remote role combines technical problem‑solving with business acumen. The primary focus will be leveraging and extending our AI platform (Amazon Quick) — configuring, building, troubleshooting, and integrating solutions that enhance customer experience and support the growth of our business.

The role is ideal for someone who finds satisfaction in building on an existing platform’s capabilities through configuration and integration, partnering with the business to enable AI to have a measurable business impact, and who has the instinct to dig in and figure things out when they don’t work as expected.

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, reviewing documentation and logs, and isolating root causes across unfamiliar systems.
  • System Integration & Extensibility – extend platform capabilities through available integration frameworks and 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.
Required Qualifications
  • 4‑year college degree in Computer Science, Engineering, Business, or a related field (or equivalent experience).
  • 4–7 years of experience in a technical, business consulting, or AI integration role.
Benefits
  • Competitive compensation
  • Comprehensive benefits
  • Career success on your terms
  • Flexible work environment
  • Annual wellness and community outreach days
  • Recognition and rewards for contributions
  • Global collaboration and networking opportunities
EEO Statement

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to

Compensation

Base Pay Ranges (USD)

SF Bay Area, New York City Metro Area –  – 

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, Alaska –  – 

All other cities and states – 92,100.00 – 

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