{"id":1516365,"url":"https://alion.io/job/genesys-ai-platform-engineer-python-aws","title":"AI Platform Engineer (Python, AWS)","company":{"id":660,"name":"Genesys","domain":"genesys.com","url":"https://alion.io/company/genesys","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":28,"ghost_share":0,"stale_share":0.143,"repost_share":0.036,"time_to_fill_p50_days":18,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":31000,"period":"year","method":"role_seniority_country_cell","sample_n":14},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Configuration Management","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PagerDuty","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"DLP","optional":true},{"name":"IAM","optional":true},{"name":"ISO 27001","optional":true},{"name":"LLM","optional":true},{"name":"Microsoft Entra ID","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"Okta","optional":true},{"name":"Red Teaming","optional":true},{"name":"ServiceNow","optional":true},{"name":"Snowflake","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-09-30T09:49:07Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-09-30T19:44:00Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Be the one building AI-powered experiences where they matter most.\nAt Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.\nHelp build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.\nSummary\nThe AI Platform Engineer contributes hands-on execution for Genesys's enterprise AI tool ecosystem - including Claude, ChatGPT Enterprise, Cursor, Amazon Q, and internal platforms such as GEL. You help keep these tools available, secure, and well-integrated for thousands of internal users, working through established runbooks and processes while building the technical depth to take on broader ownership over time.\nYou will work closely with senior engineers and the Manager, AI Enablement & Automation on access governance, monitoring, and integration work, growing your platform engineering skills on a team building the tools that power AI adoption across the business.\nWhat You Will Do\nAI Platform Application Development\nDesign, develop, test, deploy, and operate Python-based services and automation supporting AI governance, security, privacy, and compliance requirements. \nBuild tooling for AI application inventory, platform onboarding, risk classification, access reviews, policy compliance, control testing, exception management, approval workflows, and audit-evidence collection. \nTranslate governance policies and security requirements into enforceable technical controls, automated checks, alerts, and measurable control outcomes. \nDevelop security and compliance checks for sensitive-data exposure, inappropriate access, policy violations, secrets leakage, unsafe tool use, and other AI-specific risks. \nPartner with Security, Privacy, Legal, Compliance, and Internal Audit to define evidence requirements and automate recurring evidence collection and reporting. \nBuild AI-enabled internal applications and workflows using enterprise model APIs and SDKs, structured outputs, function or tool calling, prompt and configuration versioning, and human-in-the-loop approval patterns. \nImplement model and workflow evaluations, regression tests, guardrails, fallback behavior, rate limits, timeout handling, and cost controls. \nBuild dashboards for platform health, license utilization, token and cost consumption, access posture, policy exceptions, security events, control effectiveness, and audit readiness. \nEnable successful platform onboarding for internal customers and operationally support their success. \nAI Platform Operations Support\nMonitor uptime and health across enterprise AI tools (Claude, ChatGPT Enterprise, Cursor etc.), following established runbooks to detect and escalate degradations, and assist with resolution alongside senior engineers. \nExecute routine platform configuration changes and API version updates using documented change procedures, minimizing disruption to end users. \nMaintain monitoring and alerting dashboards, flagging coverage gaps or false positives to senior engineers to keep runbooks accurate. \nAccess & Governance Execution\nAdminister day-to-day identity and access management tasks for the AI tool portfolio - provisioning, de-provisioning, and role assignments - following corporate security policy. \nSupport periodic access reviews and compile evidence for compliance reporting and internal audits. \nPartner with Security and Compliance teams on routine data-handling and governance checks, escalating exceptions to senior team members. \nIntegration & Support Contribution\nBuild and maintain straightforward integrations between AI platforms and internal workflows (e.g., SSO connections, basic API connectors). \nServe as a point of contact for access, integration, and configuration issues, resolving routine cases and escalating complex ones. \nTrack usage and adoption metrics for assigned platform integrations, feeding accurate data into the team's reporting dashboards. \n\nWhat You Bring\nWe encourage candidates who meet many, though not all, of the qualifications below to apply.\nRequired Qualifications\n2+ years of experience in software engineering, platform engineering, IT operations, or DevOps, with some exposure to SaaS/AI tooling administration. \nStrong proficiency in Python for production application and automation development, including REST services and clients, data processing, package management, type checking, automated testing, structured logging, exception handling, and secure configuration management. \nHands-on experience designing and integrating REST APIs, webhooks, and event-based workflows, including authentication, authorization, rate-limit handling, retries, schema validation, and API-version management. \n Hands-on experience building AI-enabled applications or workflows using one or more enterprise model APIs or SDKs. \nUnderstanding structured model outputs, function or tool calling, prompt/configuration versioning, human-in-the-loop controls, model evaluations, guardrails, and AI application observability. \nProficiency in SQL and experience designing data models, pipelines, queries, and dashboards for operational, security, compliance, cost, or usage reporting. \nExperience with Git, pull requests, code review, automated testing, and CI/CD pipelines. \nWorking knowledge of identity and access management concepts (provisioning, role-based access, audit logging) for cloud-based platforms. \nFamiliarity with monitoring and alerting tools (Datadog, PagerDuty, CloudWatch, or similar). \nExperience with monitoring, alerting, and observability tools such as Datadog, CloudWatch, Splunk, Grafana, OpenTelemetry, or equivalent. \nClear written and verbal communication, and comfort following documented runbooks and escalating appropriately. \nPreferred Qualifications\nExposure to one or more enterprise AI platforms (ChatGPT Enterprise, Claude, Microsoft Copilot, Amazon Q, Cursor). \nFamiliarity with SSO/SCIM concepts and identity providers (Okta, Azure AD). \nExperience integrating with platforms such as Okta or Microsoft Entra ID, ServiceNow, Splunk, Datadog, Snowflake, cloud security tools, GRC platforms, or DLP systems. \nFamiliarity with AI-specific security risks such as prompt injection, sensitive-data disclosure, insecure output handling, excessive agency, model abuse, unsafe tool execution, and supply-chain risks. \nFamiliarity with AI governance and information-security frameworks such as NIST AI RMF, ISO/IEC 42001, ISO 27001, SOC 2, and privacy-by-design principles. \nExperience with LLM evaluation, AI red teaming, model or agent observability, prompt lifecycle management, or guardrail platforms. \nKey Skills\nAI platform operations and SaaS administration fundamentals \nIdentity and access management (IAM) execution \nMonitoring and alerting support \nScripting and automation \nClear documentation and communication \nBusiness Impact \nKeeps enterprise AI tools reliable and accessible day-to-day for thousands of employees, directly supporting productivity tied to the company's AI-first strategy. \nReduces compliance risk by executing access governance and audit tasks accurately and on schedule. \nBuilds foundational platform engineering capability that grows into broader ownership, adding long-term capacity to the AI Platform Engineering function. \n#LI-GR1\n#LI-Remote\nWorking at Genesys\nAI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.\nA flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.\nGrowth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.\nTime to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.\nRecognized globally - Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.\nLearn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.\nWhat Happens After You Apply\nAfter you apply, here's what you can typically expect:\nOur Talent Acquisition team reviews your application with the hiring team.\nA Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. \nNext, you'll meet the hiring manager and other members of the interview team.\nWe aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.\nAfter interviews are complete, our team will follow up with the final steps.\nEvery application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.\nStay Connected\nStay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.\nGet notified about relevant opportunities.\nBe the one building what's next - where AI, experience and impact come together.\nEmployee Referral\nIf a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.\nAbout Genesys:\nGenesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.\nReasonable Accommodations:\nIf you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us .\nYou can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.\nThis email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.\nGenesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.\nPlease note that recruiters will never ask for sensitive personal or financial information during the application phase.","description_format":"text","description_chars":11388,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Professional Services","Unified Communications","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-30T09:49:07Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:10","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/genesys-ai-platform-engineer-python-aws","json_url":"https://alion.io/job/genesys-ai-platform-engineer-python-aws.json","meta":{"generated_at":"2026-10-01T12:58:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4495,"day_limit":5000,"remaining_today":505,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}