Home/Jobs/Staff AI Agentic Automation Platform Engineer Staff AI Agentic Automation Platform Engineer Educational Testing Service (ets) Delhi 8+ years Today $57.8K–71.1K/yr Full-time Onsite Skills Required LLMOps LangChain LLM API specifications Dify LangGraph Semantic Kernel Azure AI AWS Bedrock AWS BrowserStack DevOps CI/CD Platform Engineering Git Description ETS is hiring a Staff AI Quality Platform Engineer focused on DevOps, LLMOps, and automation reliability. The role builds the operational foundations needed to move AI Quality Automation from proof of concept into enterprise use.

Company: ETS Role: Staff AI Quality Platform Engineer - DevOps, LLMOps & Automation Reliability Experience 8+ years of experience in DevOps, platform engineering, SRE, test automation infrastructure, software engineering, cloud engineering, or related technical roles

Strong knowledge of DevOps, CI/CD, platform engineering, automation reliability, and operational support practices

Hands-on experience with Git-based development workflows, CI/CD pipelines, automated test execution, environment configuration, and release/deployment processes

Experience implementing or supporting quality automation platforms, test execution frameworks, or engineering productivity platforms

Working knowledge of AI/LLM platform operations, including workflow versioning, prompt/configuration management, logging, monitoring, traceability, and operational controls

Ability to troubleshoot complex issues across automation code, CI/CD pipelines, test environments, cloud infrastructure, tool integrations, data dependencies, and execution platforms

Ability to support both current-state automation platforms and future-state AI Quality Automation capabilities during a multi-platform transition

Strong understanding of operational readiness, supportability, observability, reliability, security, and maintainability as platform design principles

Ability to document platform patterns, support procedures, implementation guidance, and technical decisions clearly for distributed teams Qualification Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or equivalent practical experience Responsibilities Implement and operationalize AI Quality Automation platform capabilities for SQA teams, engineering teams, product teams, and other internal customer groups

Translate architecture, standards, governance expectations, and roadmap priorities into working platform capabilities

Deploy, integrate, and support agentic workflows, AI-generated automation outputs, tool integrations, and execution pipelines

Build and maintain CI/CD execution patterns for AI-generated automation scripts, existing automation assets, and future-state quality automation workflows





Support integration across Dify, AIQ, GitLab, Jira, Zephyr, Confluence, Selenium/Fusion frameworks, and other approved quality engineering tools

Contribute hands-on development for platform implementation, API integration, automation utilities, pipeline enablement, workflow execution, reporting, and operational support

Establish deployment, promotion, rollback, monitoring, and support patterns for AI Quality Automation workflows and related platform components

Build observability and reporting capabilities for automation execution health, workflow failures, pipeline reliability, test execution outcomes, and platform usage

Support the transition of automation assets from legacy automation frameworks toward future-state AI Quality Automation patterns

Maintain current automation continuity by supporting active pipeline executions and resolving reliability risks and execution blockers

Partner with DevOps, cloud, infrastructure, InfoSec, application, vendor, and SQA domain teams to keep platform capabilities secure, stable, accessible, and operational

Define and implement LLMOps practices for AI Quality Automation

Ensure AI-generated quality artifacts and automation outputs can be executed, traced, reviewed, and supported in line with ETS quality, security, accessibility, and release-readiness expectations Additional Responsibilities Develop support runbooks, troubleshooting guides, onboarding materials, operational procedures, and knowledge-base content for platform users

Monitor platform reliability and support trends and identify recurring issues that require automation, tooling, documentation, or architecture improvements Nice To Have Experience with AI/LLM platform operations, agentic workflow deployment, Dify, LangChain, LangGraph, Semantic Kernel, Azure AI, AWS Bedrock, or comparable AI orchestration platforms

Experience with Selenium/Fusion, Playwright, GitLab CI/CD, Jira, Zephyr, Confluence, AWS, BrowserStack, or similar enterprise quality engineering tools

Experience supporting AI-assisted test generation, automation script generation, execution feedback loops, or quality engineering platforms

Experience modernizing legacy automation platforms or supporting transition from one automation ecosystem to another

Experience designing operational support models, dashboards, runbooks, monitoring,



and incident response processes for engineering platforms

Experience in complex enterprise environments with multiple applications, shared environments, vendor dependencies, and customer-facing delivery obligations More Skills automation reliability, operational support, Git-based development workflows, automated test execution, environment configuration, release/deployment processes, AI/LLM platform operations, workflow versioning, prompt/configuration management, logging, monitoring, traceability, GitLab, Jenkins, Azure DevOps, Jira, Zephyr, Confluence, Selenium, Playwright, REST APIs, cloud services, Python, JavaScript, TypeScript, Java, Bash, PowerShell, UI testing, API testing, database testing, desktop testing, performance testing, security testing, accessibility testing, functional integration testing, end-to-end testing, AIQ, Selenium/Fusion Other ETS is a global education and talent solutions organization serving learners in more than 200 countries and territories The organization delivers nearly 50 million tests annually The role supports enterprise adoption of AI-first quality engineering across ETS products, platforms, and customer-facing delivery teams The environment includes existing Selenium/Fusion automation, AIQ automation, pipeline executions, regression assets, and application-specific dependencies that must remain operational during transition The role works closely with the Principal AI Quality Architect and the Staff Agentic AI Engineer

ETS is mission driven and action oriented

ETS offers multiple Business Resource Groups for growth opportunities

Volunteering may qualify for up to an additional 8 hours of PTO

Base salary range is influenced by internal equity, geographic region, job-related knowledge, skills, and experience

ETS is an Equal Opportunity Employer and provides equal employment opportunities without regard to protected characteristics Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents.

AWS Machine Learning Specialty Coursera Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services. LangChain for LLM Application Development Coursera Official LangChain course taught by Harrison Chase. Covers chains, agents, and memory.

More LLMOps jobs Gen AI Engineer Infosys Limited Bengaluru Today Technical Consultant-AI Integration IBM Hyderabad 1 day ago Technical Consultant-AI Integration IBM Pune 1 day ago LLM Operations Engineer Accenture Pune 1 day ago Technical Consultant-AI Integration IBM Pune 1 day ago Agentic AI Engineer Infosys Bengaluru 1 day ago

📌 Staff AI Agentic Automation Platform Engineer (Delhi)
🏢 Top Gen AI Jobs
📍 Delhi