AI Platform Engineer, Python, AWS
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Job Description
AI Platform Engineer building Python and AWS automation for Genesys’s enterprise AI customer-experience platform. Supporting governance, security, integrations, monitoring, and access operations.
Responsibilities:
- Design, develop, test, deploy, and operate Python-based services and automation supporting AI governance, security, privacy, and compliance
- Build tooling for AI application inventory, platform onboarding, risk classification, access reviews, policy compliance, control testing, exception management, approval workflows, and audit-evidence collection
- Translate governance policies and security requirements into enforceable technical controls, automated checks, alerts, and measurable control outcomes
- Develop security and compliance checks for sensitive-data exposure, inappropriate access, policy violations, secrets leakage, unsafe tool use, and other AI-specific risks
- Partner with Security, Privacy, Legal, Compliance, and Internal Audit to define evidence requirements and automate recurring evidence collection and reporting
- Build AI-enabled internal applications and workflows using enterprise model APIs and SDKs
- Implement model and workflow evaluations, regression tests, guardrails, fallback behavior, rate limits, timeout handling, and cost controls
- Build dashboards for platform health, license utilization, token and cost consumption, access posture, policy exceptions, security events, control effectiveness, and audit readiness
- Enable platform onboarding for internal customers and operationally support their success
- Monitor uptime and health across enterprise AI tools, following runbooks to detect and escalate degradations
- Execute routine platform configuration changes and API version updates using documented change procedures
- Maintain monitoring and alerting dashboards
- Administer identity and access management tasks, including provisioning, de-provisioning, and role assignments
- Support periodic access reviews and compile compliance evidence
- Build and maintain integrations between AI platforms and internal workflows
- Resolve routine access, integration, and configuration issues and escalate complex cases
- Track usage and adoption metrics for assigned platform integrations
Requirements:
- 2+ years of experience in software engineering, platform engineering, IT operations, or DevOps, with some exposure to SaaS/AI tooling administration
- Strong proficiency in Python for production application and automation development
- Hands-on experience designing and integrating REST APIs, webhooks, and event-based workflows
- Hands-on experience building AI-enabled applications or workflows using enterprise model APIs or SDKs
- Understanding of structured model outputs, function or tool calling, prompt/configuration versioning, human-in-the-loop controls, model evaluations, guardrails, and AI application observability
- Proficiency in SQL and experience designing data models, pipelines, queries, and dashboards
- Experience with Git, pull requests, code review, automated testing, and CI/CD pipelines
- Working knowledge of identity and access management concepts for cloud-based platforms
- Familiarity with monitoring and alerting tools
- Experience with monitoring, alerting, and observability tools
- Clear written and verbal communication, and comfort following documented runbooks and escalating appropriately
- Preferred: exposure to enterprise AI platforms, SSO/SCIM and identity providers, integrations with enterprise platforms, AI-specific security risks, AI governance and information-security frameworks, LLM evaluation, AI red teaming, model or agent observability, prompt lifecycle management, or guardrail platforms
Benefits:
- Flexible ways of working
- Mentorship
- Learning programs
- Leadership development
- Education support
- Paid volunteer time
- August Free Fridays
- Well-being resources
- Regionally tailored programs for employees and their families
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