Senior AI/ML Platform Engineer

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  Build and improve CI/CD workflows for ML/AI services across development, staging, and production environments

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  Establish reusable service templates and “golden path” patterns for AI microservices (logging, metrics, tracing, config, secrets, versioning)

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  Design and operate orchestration patterns for batch and online workloads on AWS

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  Define operational standards for AI services: monitoring, alerting, SLOs, runbooks, incident readiness, and rollback strategies

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  Partner with applied AI and research teams to productionize prototypes into stable services without slowing iteration velocity
  Influence platform architecture and engineering standards across a growing Applied AI team

• 7+ years of experience in software engineering, platform engineering, ML engineering, or a closely related role with production ownership

• Demonstrated experience designing and operating CI/CD pipelines and release processes for production services

• Strong AWS experience (compute, storage, networking, deployment, monitoring)

• Experience with containers and modern deployment patterns (Docker required; Kubernetes or equivalent is a plus)

• Experience with orchestration and workflow tooling (for example, Airflow, Dagster, Argo, Step Functions, or similar)

• Strong operational mindset and experience supporting production systems (debugging, reliability, performance, cost)

• Ability to set pragmatic standards, work through ambiguity, and collaborate across engineering, product, and research teams

• Experience building ML platform components (feature stores, model registries, training pipelines, model serving patterns)

• Experience with infrastructure-as-code and environment automation

• Experience building evaluation and observability systems for AI services (quality metrics, drift signals, regression gates)

• Experience supporting retrieval or LLM-enabled systems in production

• Experience mentoring engineers or leading technical standards in a platform-building environment

In this role, you will define how AI services are built and operated across a growing portfolio of products. You will influence standards that directly improve prototype-to-production speed, system reliability, and the ability to ship multiple AI capabilities in parallel.

We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.

• Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.

• Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.

• Comprehensive wellness programs and mental health support

• Learning and development resources, including professional development tools and tuition reimbursement, to support your growth

• The technology and tools you need to do your best work

• Motivosity employee recognition program

• A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.