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Senior AI Engineer - 454638

Pepsico

Chicago, ILJob$94–156K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$94–156K/yr
Location
Chicago, IL
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

PepsiCo seeks a Senior AI Engineer to build and operate an internal platform for agent orchestration solutions. The role provides self-service workflows, reusable templates, and API-driven automation, while owning developer experience for environment provisioning, deployment, policy-compliant runtime exposure, and operational readiness. It also supports reliability practices, cross-team adoption, and platform-user feedback.

Skills & qualifications

RequiredNice to have

Skills

Platform EngineeringSelf-Service WorkflowsCI/CDRelease EngineeringInfrastructure as CodeEnvironment TemplatingDrift ControlObservabilitySLIs/SLOsRunbooksMonitoring and AlertingSSO/OIDCRBAC/ABACInternal Platform DevelopmentDeveloper ToolingProduction Service Operations

Qualifications

Bachelor's in ML/CS/Engineering or Equivalent ExperienceMaster's Degree8 Years AI/DS/ML Experience

Benefits

Paid Time Off
Parental Leave
Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/13783020 Job Description\ \ Overview\ We are seeking a Senior AI Engineer role to build and operate an internal platform that enables teams to deliver agent orchestration solutions with high velocity and low operational risk. The role treats the platform as an internal productproviding self-service golden paths (standardized, end-to-end workflows), reusable templates, and API-driven automation that reduces developer cognitive load and improves delivery consistency. The role owns the developer experience for provisioning environments, deploying services/workflows, policy-compliant runtime exposure via gateways, and operational readiness through observability and SLO-based reliability practices. Responsibilities Internal Platform as a Product: Self-Service & Golden Paths (30%)\ * Build and maintain API-driven self-service capabilities that allow delivery teams to deploy and operate services/workflows with reduced lead time and stack complexity. (Execute/Consult)\ * Design and deliver golden paths (paved roads) for common workflows (service creation, environment provisioning, deployment, rollback, observability enablement), reducing cognitive load and improving compliance by default. (Execute/Consult) Environment Provisioning, Standardization & Guardrails (20%)\ * Provide standardized environment templates (non-prod/prod) with tenant isolation patterns and secure defaults; minimize drift via code-reviewed configuration and drift detection. (Execute/Consult)\ * Implement secure-by-default platform guardrails (approved base images, default policies, standard logging/metrics/traces) to reduce operational risk and audit gaps. (Consult/Execute) CI/CD Enablement & Release Safety (20%)\ * Provide reusable CI/CD templates and promotion gates (build, test, security scans, deploy) that delivery teams can adopt with minimal customization, increasing delivery consistency. (Execute/Consult)\ * Establish standardized rollout/rollback practices and deployment verification steps as part of the golden paths (release safety as a default). (Consult/Execute) Observability, SLOs & Operational Readiness (20%)\ * Define and operationalize SLIs/SLOs for platform services; ensure telemetry export (metrics/logs/traces) and actionable runbooks for incidents and rollbacks. (Consult/Execute)\ * Partner with SRE/operations to support availability, latency, performance, change management, monitoring/alerting, and emergency response for platform services. (Consult/Execute) Developer Enablement & Feedback Loop (10%)\ * Run continuous feedback loops with platform users (product/agent teams) to refine platform experiences, improve golden paths, and publish adoption/usage insights. (Consult/Execute)\ * Deliver enablement: documentation, examples, onboarding playbooks, and office-hours to increase adoption and reduce ticket-based ops. (Execute/Consult) Decision-Making Autonomy: High-moderate owns platform experience and implementation choices within enterprise guardrails; escalates enterprise policy/security exceptions.Supervision Required: Moderate-low periodic alignment with platform lead/architect and security/SRE stakeholders.Complexity of Role: High multi-tenant internal platform with reliability targets and cross-team adoption responsibilities.Cross-Functional Interactions: Yes continuous interaction with DevX, SRE, security/identity, API gateway, and delivery teams. Compensation and Benefits:\ * The expected compensation range for this position is between $93,500 - $156,450.\ * Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.\ * Bonus based on performance and eligibi ity target payout is 10% of annual salary paid out annually.\ * Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.\ * In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Minimum Qualifications\ * Bachelors in ML/CS/Engineering or equivalent experience required.\ * Masters preferred\ * 8 year experience with AI/DS/ML required.\ * Proven experience building internal platforms / developer tooling and operating production services. Required Expertise\ * Platform engineering mindset: internal platform as product; self-service workflows and templates that reduce cognitive load\ * CI/CD + release engineering: reusable pipelines, policy checks, promotion gates, safe rollout/rollback patterns\ * Infrastructure automation: IaC, environment templating, standardization, drift control (tool choice per enterprise standards)\ * Observability & reliability: SLIs/SLOs, runbooks, monitoring/alerting fundamentals\ * Security-by-default: SSO/OIDC concepts, RBAC/ABAC awareness,

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