Genesys
Genesys
Genesys izstrādā mākslīgā intelekta vadītu pieredzes orkestrēšanas tehnoloģiju organizācijām, kas vēlas uzlabot veidu, kā tās sadarbojas ar klientiem un darbiniekiem. Uzņēmuma produktu portfelī ietilpst mākoņpakalpojumu kontaktu centru programmatūra, darbaspēka iesaistes pārvaldība, kā arī platformas Genesys Cloud CX un EX, kas apvieno viedo automatizāciju ar komunikācijas kanālos integrētu mākslīgo intelektu. Genesys apkalpo tādas nozares kā konsultācijas, veselības aprūpe un apdrošināšana, savukārt tās AppFoundry Marketplace piedāvā iepriekš integrētas lietojumprogrammas, kas paplašina platformas iespējas.

AI Platform Engineer (Python, AWS) — Genesys, India Remote

Build Python and AWS services that support Genesys’s enterprise AI platform. Help strengthen governance, security, integrations, monitoring, and access operations.

Apraksts

  • Create, test, deploy, and operate Python services and automation for AI governance, security, privacy, and compliance
  • Develop tools for AI application inventories, platform onboarding, risk classification, access reviews, policy compliance, control testing, exception handling, approvals, and audit-evidence gathering
  • Convert governance policies and security requirements into enforceable controls, automated checks, alerts, and measurable outcomes
  • Create security and compliance checks for sensitive-data exposure, improper access, policy breaches, leaked secrets, unsafe tool use, and other AI-related risks
  • Work with Security, Privacy, Legal, Compliance, and Internal Audit to define evidence needs and automate recurring evidence collection and reporting
  • Develop internal AI applications and workflows with enterprise model APIs and SDKs
  • Implement model and workflow evaluations, regression testing, guardrails, fallback logic, rate limits, timeout handling, and cost controls
  • Create dashboards covering platform health, license usage, token and cost consumption, access posture, policy exceptions, security events, control effectiveness, and audit readiness
  • Support internal customers through AI platform onboarding and ongoing operational assistance
  • Monitor the uptime and health of enterprise AI tools, using runbooks to identify and escalate service degradation
  • Perform routine platform configuration changes and API version upgrades according to documented change procedures
  • Maintain monitoring and alerting dashboards
  • Handle identity and access management activities, including provisioning, deprovisioning, and role assignment
  • Assist with scheduled access reviews and assemble compliance evidence
  • Develop and maintain integrations between AI platforms and internal workflows
  • Resolve routine access, integration, and configuration problems, escalating complex issues when needed
  • Measure usage and adoption across assigned platform integrations

Prasības

  • At least two years of experience in software engineering, platform engineering, IT operations, or DevOps, including some SaaS or AI tooling administration
  • Strong Python skills for developing production applications and automation
  • Practical experience designing and integrating REST APIs, webhooks, and event-driven workflows
  • Experience creating AI applications or workflows with enterprise model APIs or SDKs
  • Understanding of structured model outputs, function or tool calling, prompt and configuration versioning, human-in-the-loop controls, model evaluation, guardrails, and AI application observability
  • Proficiency in SQL, including data modeling, pipeline development, query design, and dashboard creation
  • Experience using Git, pull requests, code reviews, automated tests, and CI/CD pipelines
  • Working knowledge of identity and access management for cloud platforms
  • Familiarity with monitoring and alerting tools
  • Experience with monitoring, alerting, and observability practices and tools
  • Clear written and verbal communication, with the ability to follow runbooks and escalate issues appropriately
  • Preferred experience with enterprise AI platforms, SSO or SCIM and identity providers, enterprise integrations, AI security risks, AI governance and information-security frameworks, LLM evaluation, AI red teaming, model or agent observability, prompt lifecycle management, or guardrail platforms

Priekšrocības

  • Flexible working arrangements
  • Mentorship opportunities
  • Learning and development programs
  • Leadership development opportunities
  • Education support
  • Paid time for volunteering
  • August Free Fridays
  • Well-being resources
  • Programs tailored to employees and their families by region

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