Python Platform Engineer (Applied AI / Automation)

Job Title: Python Platform Engineer (Applied AI / Enterprise Search & Automation)Location: Phoenix, AZ Hybrid (3 Days Onsite)Work Address: 18850 N 56th Street, Phoenix, AZ 85054Duration: 6+ Months (Potential Extension / Conversion through End of 2026)Interview Process: 60 90 Minute In-Person Interview in PhoenixImportant NotesLocal Phoenix candidates only.Candidates must be able to attend an in-person interview. No virtual interviews.No layers allowed. Candidates must be directly paid by your organization.Manager is highly selective and focused on genuine, production-level engineeringexperience.Role OverviewWe are seeking a Python Platform Engineer with Applied AI experience to support enterprise-scale digital platforms focused on content management, navigation, enterprise search, andautomation.This role will contribute to the modernization of enterprise search platforms, transitioning fromtraditional rule-based systems to AI-powered semantic and intent-driven search capabilities.The engineer will work on scalable backend services, automation frameworks, and AI-enabledenterprise platforms.Key ResponsibilitiesBuild and maintain production-grade Python services supporting enterprise CMS,search, and automation platforms.Develop APIs and backend services integrated with large-scale digital systems andinternal platforms.Contribute to modernization initiatives moving enterprise search toward semantic andML-driven search capabilities.Support AI-driven search relevance and intent-based automation initiatives.Build automation workflows for operational support, ticketing, access provisioning, andinternal tooling.Deploy and manage scalable services using Kubernetes, cloud infrastructure, and CI/CDpipelines.Collaborate with architecture, platform engineering, and product teams acrossenterprise environments.Integrate ML outputs into production systems including inference APIs and automationpipelines.Improve reliability, observability, scalability, and performance across distributedplatforms.Required Skills & Experience5 8 years of hands-on Python development experience in production environments.Strong experience building backend systems, APIs, and scalable distributed services.Hands-on Cloud Platform Experience (AWS Preferred, GCP Acceptable).Experience with Kubernetes and containerized deployments.Strong understanding of CI/CD pipelines and DevOps practices.Experience working with enterprise-scale systems and distributed architectures.Ability to work effectively across platform engineering, architecture, and product teams.Experience applying AI/ML or NLP techniques within production systems, especiallyrelated to search or automation use cases.Technology EnvironmentPythonKubernetesAWS / GCPCI/CD PipelinesDistributed SystemsEnterprise CMS PlatformsSemantic / ML-Driven SearchAutomation FrameworksCurrent InitiativesEnterprise CMS supporting large-scale global digital content platforms.Global navigation systems across multiple international markets.Enterprise search modernization focused on semantic and AI-driven search capabilities.Internal AI-powered automation solutions for operational efficiency and workflowoptimization.