20 hours ago
Remote, IndiaMid Level
Responsibilities
- Develop, test, deploy, and operate Python services and automation for AI governance, security, privacy, and compliance.
- Build tooling for AI application inventory, onboarding, risk classification, access reviews, policy compliance, control testing, exception management, approval workflows, and audit evidence collection.
- Translate governance and security requirements into technical controls, automated checks, alerts, evaluations, and measurable outcomes.
- Build AI-enabled internal applications and workflows using enterprise model APIs and SDKs, including structured outputs, function or tool calling, versioning, guardrails, fallbacks, rate limits, and human approval patterns.
- Create dashboards and monitoring for platform health, usage, licensing, costs, access posture, policy exceptions, security events, and audit readiness.
- Monitor and support enterprise AI tools, execute documented configuration and API updates, and maintain alerting dashboards and runbooks.
- Administer provisioning, de-provisioning, role assignments, access reviews, and compliance evidence for the AI tool portfolio.
- Build and maintain SSO and API integrations, resolve routine access and configuration issues, and escalate complex cases.
- Track platform usage and adoption metrics and support internal platform onboarding.
Requirements
- At least 2 years of experience in software engineering, platform engineering, IT operations, or DevOps, with some SaaS or AI tooling administration exposure.
- Strong production Python experience, including services and clients, data processing, package management, type checking, testing, structured logging, exception handling, and secure configuration management.
- Hands-on experience designing and integrating REST APIs, webhooks, and event-based workflows, including authentication, authorization, retries, rate limits, schema validation, and API-version management.
- Experience building AI-enabled applications or workflows with enterprise model APIs or SDKs.
- Understanding of structured model outputs, tool calling, prompt and configuration versioning, human-in-the-loop controls, model evaluation, guardrails, and AI observability.
- Proficiency in SQL and experience designing data models, pipelines, queries, and dashboards for operational, security, compliance, cost, or usage reporting.
- Experience with Git, pull requests, code review, automated testing, and CI/CD pipelines.
- Working knowledge of cloud identity and access management, including provisioning, role-based access, and audit logging.
- Familiarity with monitoring and alerting tools such as Datadog, PagerDuty, CloudWatch, Splunk, Grafana, or OpenTelemetry.
- Preferred experience with enterprise AI platforms, SSO/SCIM, Okta or Azure AD, integrations with enterprise systems, AI-specific security risks, governance frameworks, LLM evaluation, red teaming, agent observability, prompt lifecycle management, or guardrail platforms.
- Clear written and verbal communication and comfort following runbooks and escalating appropriately.
Benefits
- Flexible-first working culture with flexible ways of working.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored family programs.
- The posting is marked remote (#LI-Remote).
- Genesys supports AI technology used by more than 8,000 organizations worldwide and offers a structured interview process with no more than five interviews in most cases.
About Genesys
Genesys builds cloud contact center and customer experience software used by enterprises to manage voice and digital interactions, self-service, and workforce engagement. Its Genesys Cloud platform and related tools are sold as subscription services (CCaaS) with AI for routing, automation, and analytics. The company serves more than 8,000 organizations worldwide and is headquartered in Menlo Park, California.