Senior AI Platform Integration Specialist

Hands-on expertise with API design, event-driven architecture, service integration, identity and access management, data contracts, lineage, observability, and auditability. Proven experience designing enterprise integration architectures across AI/ML platforms, data platforms, APIs, applications, and workflow technologies.

Senior AI Platform Integration Specialist

We are seeking a Senior AI Platform Integration Specialist to help define and scale enterprise AI capabilities across a complex technology ecosystem. This individual will establish integration standards, reusable architecture patterns, and platform governance to ensure AI/ML solutions are securely and effectively consumed across enterprise applications, workflows, and business processes.

Responsibilities

• Design enterprise integration patterns across AI/ML platforms, data platforms, APIs, applications, and workflow systems.
• Define how AI outputs, including recommendations, alerts, scores, embeddings, agents, and AI services, are exposed, governed, monitored, and consumed by business-facing systems.
• Develop reusable reference architectures, standards, and decision frameworks that support scalable AI adoption.
• Partner with enterprise architecture, cybersecurity, data, platform, product, and business teams to align AI initiatives with enterprise standards.
• Establish platform boundaries and integration strategies across Databricks, AWS, Snowflake, Palantir, BI tools, APIs, and custom applications.
• Drive security, lineage, observability, auditability, reliability, and operational support requirements across AI integrations.
• Eliminate one-off solutions by creating reusable patterns, integration guardrails, and governance models.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• Proven experience designing enterprise integration architectures across AI/ML platforms, data platforms, APIs, applications, and workflow technologies.
• Strong understanding of AI/ML platform architecture, data governance, workflow orchestration, and enterprise application integration.
• Experience designing production-grade integration patterns for model outputs, recommendations, alerts, embeddings, AI agents, and AI services.
• Hands-on expertise with API design, event-driven architecture, service integration, identity and access management, data contracts, lineage, observability, and auditability.
• Experience building reusable reference architectures and enterprise integration standards.
• Ability to collaborate across technical, product, cybersecurity, architecture, platform, and business teams.
• Experience evaluating platform fit-for-purpose and defining responsibilities across Databricks, AWS, Snowflake, Palantir, BI tools, and enterprise applications.
• Ability to translate architecture strategy into practical implementation standards and governance frameworks.

Palantir & Enterprise AI Requirements

• Experience architecting or governing integrations with Palantir Foundry, AIP, or similar enterprise workflow and operational decision platforms.
• Strong knowledge of Palantir interoperability, API-based integrations, security controls, lineage, governance, and operational standards.
• Experience defining how AI/ML outputs are consumed within enterprise workflow and decision platforms while maintaining clear platform boundaries.
• Understanding of ontology-driven platforms, workflow orchestration, and enterprise AI enablement strategies.

Preferred Experience

• Palantir Foundry and AIP
• Databricks, Snowflake, AWS
• Enterprise AI/ML platforms and data ecosystems
• Event-driven architectures and API-first integrations
• AI governance, platform strategy, and architecture standards
• Operational workflows, human-in-the-loop systems, and AI-enabled decision support
• Industrial, energy, manufacturing, or other complex enterprise environments