Staff AI Agentic Automation Platform Engineer

ETS Assessment Services Pvt Ltd; Dadri, Gurugram District, Delhi; Híbrido; INR 1 200 000 - 4 200 000; Tempo integral

Resumo da oferta

ETS Assessment Services Pvt Ltd seeks an expert to lead AI automation across enterprise platforms. You will design scalable cloud infrastructure, implement AI QA automation, containerization with Docker/Kubernetes, and drive DevOps/DevSecOps practices for AI lifecycles.

You will coordinate with Cloud, Infrastructure, Security, Product and SQA teams, deliver reusable automation components, and create playbooks and runbooks to improve efficiency and quality.

Qualificações

• Experience leading AI automation strategy and governance for enterprise platforms.
• Proven ability to design reusable automation components and reference architectures.
• Knowledge of AI-powered test automation, autonomous testing, and self-healing models.

Responsabilidades

• Design and maintain scalable cloud infrastructure and IaC solutions.
• Implement AI Quality Automation platforms, CI/CD pipelines and cloud-based engineering solutions.
• Build automated deployment, monitoring, observability, and reliability frameworks.
• Develop containerization and orchestration with Docker and Kubernetes.
• Establish LLMOps, DevOps, and DevSecOps practices for AI model lifecycles.
• Support integrations across Dify, AIQ, GitLab, Jira, Zephyr, Confluence, Selenium/Fusion and tools.
• Develop automation utilities, APIs, deployment pipelines, and platform services.
• Monitor platform health, reliability, performance, security, and readiness.
• Collaborate with Cloud, Infrastructure, Security, Product and SQA teams for stability.
• Create operational docs, runbooks, support procedures and standards.

Conhecimentos

AI Automation Strategy

Architecture & Governance

Intelligent Automation

LLMoPs/Autonomous Testing

CI/CD & DevOps

Platform Automation

Observability & Reliability

Automation Testing

Vendor Evaluations

Documentation & Playbooks

Stakeholder Collaboration

Ferramentas

Cypress

Playwright

Selenium

APPVANCE AIQ

Agentic AI solutions

Descrição da oferta de emprego

Role & responsibilities

• Design and maintain scalable cloud infrastructure, platform services, and Infrastructure-as-Code (IaC) solutions.
• Implement and support AI Quality Automation platforms, CI/CD pipelines, and cloud-based engineering solutions. Design and maintain scalable cloud infrastructure, platform services, and Infrastructure-as-Code (IaC) solutions
• Build and manage automated deployment, monitoring, observability, and reliability frameworks.
• Develop and support containerization and orchestration solutions using technologies such as Docker and Kubernetes.
• Establish LLMOps, DevOps, and DevSecOps practices supporting AI model and workflow lifecycle management.
• Support integrations across Dify, AIQ, GitLab, Jira, Zephyr, Confluence, Selenium/Fusion, and enterprise engineering tools.
• Develop automation utilities, APIs, deployment pipelines, and platform services to improve engineering productivity.
• Monitor platform health, reliability, performance, security, and operational readiness.
• Partner with Cloud, Infrastructure, Security, Product, and SQA teams to ensure platform stability and compliance.
• Create operational documentation, runbooks, support procedures, and implementation standards.

Preferred candidate profile

• Enterprise AI Automation Strategy, Vision, and Roadmap
• AI Automation Reference Architectures, Standards, and Governance Frameworks
• Intelligent Automation Frameworks, Reusable Components, and Best Practices
• AI-Powered Test Automation Frameworks, Autonomous Testing Solutions, and Self-Healing Automation Models
• Automation and AI Adoption Plans aligned with business and technology objectives
• Proofs of Concept (POCs), Proofs of Technology (POTs), Pilot Programs, Prototypes, and Research Findings
• Technology Assessments, Tool Evaluations, Vendor Comparisons, and Recommendations for emerging AI and automation platforms (e.g., Cypress, Playwright, Selenium, APPVANCE AIQ, Agentic AI solutions)
• CI/CD, DevOps, and Platform Automation Design Artifacts
• AI-Driven Quality Engineering Strategies, Test Generation Models, and Predictive Quality Analytics
• Automation Asset Repositories including reusable scripts, workflows, test data, AI agents, libraries, and templates
• Automation Governance Documentation, Policies, Guidelines, and Responsible AI Standards
• Automation Maturity Assessments and Continuous Improvement Roadmaps
• Training Materials, Knowledge Transfer Artifacts, and Automation Playbooks
• Process, Application, and Technology Modernization Recommendations to improve efficiency, quality, security, scalability, and business outcomes.

Expected Business Outcomes

• Increased automation adoption and reuse across IT organization
• Reduced delivery and testing cycle times
• Improved software quality, reliability, and compliance
• Increased operational efficiency and productivity
• Accelerated adoption of AI-enabled engineering practices
• Measurable cost savings, risk reduction, and business value realization