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Remote Ai Integration Specialist Jobs (NOW HIRING)

RainFocus

Integration Specialist (Remote)

Lehi, UT · On-site +1

Integrations Specialists will also support Single Sign On through client's web sites. Primary ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

RainFocus

Integration Specialist (Remote)

Lehi, UT · Remote

Integrations Specialists will also support Single Sign On through client's web sites. Primary ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Right Skale, Inc.

Costpoint Integration Specialist

Costpoint Integration Specialist - Long Term Contract W2 - US-based Remote We are seeking an experienced Costpoint Integration Specialist to maintain and enhance ERP applications on the Deltek GovCon ...

ClinDCast LLC

SAP PO Integration Specialist

Addison, TX · Remote

$60 - $68/hr

Remote Job Summary: Seeking an experienced SAP Process Orchestration consultant to design, develop, and support integrations between SAP and non-SAP systems. The role involves working with APIs, HTTP ...

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How much do remote ai integration specialist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote ai integration specialist in the United States is $91,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a remote AI integration specialist?

Remote AI Integration Specialists are professionals who work from various locations to help organizations implement artificial intelligence solutions into their existing systems and workflows. They analyze business needs, select appropriate AI tools, and ensure seamless integration with minimal disruption. Their responsibilities often include collaborating with IT teams, troubleshooting integration issues, and providing ongoing support and optimization for AI-powered applications. These specialists typically possess expertise in both AI technologies and software integration, enabling companies to leverage advanced analytics, automation, and machine learning remotely.

What are the key skills and qualifications needed to thrive as a remote AI integration specialist?

To thrive as a Remote AI Integration Specialist, you need a solid understanding of machine learning concepts, programming skills (often in Python), and experience with API integration, typically supported by a degree in computer science or a related field. Familiarity with AI platforms (such as TensorFlow or Azure AI), cloud services, and workflow automation tools is usually necessary, along with relevant certifications like AWS Certified Machine Learning. Strong problem-solving abilities, communication skills, and the ability to work independently are vital soft skills for remote collaboration and troubleshooting. These skills ensure effective deployment of AI solutions, seamless integration with existing systems, and successful teamwork in a distributed environment.

What are common challenges faced by remote AI integration specialists when collaborating with distributed teams?

Remote AI Integration Specialists often work with teams spread across different time zones and disciplines, which can make communication and coordinating project milestones challenging. Keeping everyone aligned requires proactive updates, clear documentation, and effective use of collaboration tools. Additionally, integrating AI solutions into existing systems may require frequent troubleshooting and close collaboration with software engineers and data scientists to ensure seamless deployment. Building strong working relationships remotely and adapting workflows to suit virtual environments are key to success in this role.
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Remote Ai Integration Specialist jobs near you
Infographic showing various Remote Ai Integration Specialist job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $91,617 per year, or $44 per hour.

AI Integration Specialist - Customer Office

Proofpoint

Remote

Full-time

Re-posted 12 days ago

Proofpoint rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 117 rated security

Job description

Job Summary:
Proofpoint is a global leader in cybersecurity, dedicated to protecting people and data across various platforms. They are seeking an experienced AI Integration Specialist to drive AI solution delivery, focusing on implementing and enabling AI across Managed Services, Customer Success, and Technical Account Management. This role involves leveraging and extending their AI platform to enhance customer experience and support business growth.
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.
Qualifications:
Required:
• 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.
Company:
Proofpoint provides cloud-based email security, e-discovery, and compliance solutions for companies to protect sensitive business data. Founded in 2002, the company is headquartered in Sunnyvale, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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