Sr. AI Platform Integration Engineer [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. AI Platform Integration Engineer in the United States.

This role sits at the intersection of AI platforms, distributed systems, and enterprise integrations, powering the next generation of intelligent automation capabilities. You will design and build scalable APIs and integration services that connect internal systems, partner tools, and AI-driven workflows within a complex enterprise ecosystem. The work directly enables secure, reliable, and observable interactions between data, identity systems, and AI services across a multi-tenant platform. You will collaborate closely with platform, infrastructure, and data engineering teams to define integration standards and ensure consistency across services. This is a highly technical role where backend engineering, API design, and identity management converge to support advanced AI-enabled automation. You will also contribute to evolving platform architecture while improving developer experience and system reliability at scale. The environment is fast-moving, deeply technical, and focused on building production-grade systems that support enterprise AI transformation.

Accountabilities:

• Design and implement scalable RESTful APIs and integration services that enable AI-driven automation and cross-system connectivity across a distributed platform.
• Define and evolve integration standards, including authentication, versioning, schema contracts, and access control for internal and external services.
• Build and maintain secure authentication and authorization systems, including token-based access (JWT/OAuth 2.0) and fine-grained endpoint-level controls.
• Contribute to RBAC architecture and policy enforcement models supporting multi-tenant access and enterprise-grade security.
• Support enterprise identity integrations using SAML 2.0 and OpenID Connect (OIDC), including providers such as Okta, Azure AD, and Ping Identity.
• Partner with infrastructure, platform, and data engineering teams to align API contracts, data semantics, and integration patterns.
• Implement observability, audit logging, and traceability for authentication, authorization, and system-level activity across services.
• Design and maintain containerized services deployed on Kubernetes with secure configuration and secrets management practices.
• Participate in architecture discussions, code reviews, and technical documentation efforts (RFCs, ADRs).
• Mentor engineers and contribute to engineering best practices across the broader platform organization.

Requirements

• 5+ years of backend or integration engineering experience in production environments.
• Strong experience building services in Python (e.g., FastAPI, Flask) or Go.
• Proven experience designing and operating enterprise-grade APIs and distributed integration systems.
• Deep understanding of authentication/authorization systems, including RBAC, multi-tenant architectures, and security best practices.
• Hands-on experience with SAML 2.0 and OIDC-based SSO integrations, including identity providers like Okta, Azure AD, or Ping Identity.
• Strong knowledge of API security, schema validation, and distributed system integration patterns.
• Experience working with Docker, Kubernetes, Git, and modern CI/CD pipelines.
• Familiarity with technical design reviews, RFCs, and engineering documentation practices.
• Exposure to observability, platform engineering, or AIOps environments is highly desirable.
• Bonus: experience with AI/LLM-enabled systems, API gateways, or analytical databases such as ClickHouse.
• Strong communication skills and ability to collaborate across multiple engineering teams in fast-paced environments.

Benefits

• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement plan with employer matching.
• Flexible Paid Time Off (FTO) to support work-life balance.
• Paid Volunteer Time Off (VTO) for charitable engagement.
• Paid parental leave for eligible employees.
• 5-year service milestone sabbatical program.
• Employee referral bonus program.
• Pet insurance coverage.
• Regular virtual wellness and engagement events (e.g., yoga, meditation, workshops).
• Opportunity to learn from leading experts in AI, platform engineering, and IT operations.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.