Description

Responsibilities

• Design and build test solutions, test plans, dashboards, management frameworks, and automation strategies
• Design and build AI agents, AI-enabled workflows, and automation solutions using enterprise AI tools
• Apply prompt engineering, retrieval-augmented generation (RAG), embeddings, tool use, and AI evaluation techniques to develop reusable prompt and agent patterns
• Integrate AI and automation into enterprise applications and workflows using REST APIs, JSON, SQL, scripting, and workflow orchestration
• Support full SDLC activities, including requirements analysis, design documentation, test case generation, automated testing, deployment support, and incident/problem analysis
• Implement and maintain enterprise security, access controls, data privacy, responsible AI practices, logging, monitoring, and production support
• Communicate clearly with technical and non-technical stakeholders, coach teams, and drive practical adoption of automation and AI solutions

Qualifications

• Required
  • Minimum of 3 years of hands-on experience designing and building test solutions and related test plans, dashboards, management frameworks, and automation
  • Hands-on experience designing and building AI agents, AI-enabled workflows, and automation using ChatGPT or comparable enterprise AI tools
  • Practical knowledge of prompt engineering, retrieval-augmented generation (RAG), embeddings, tool use, AI evaluation techniques, and reusable prompt/agent patterns
  • Experience integrating AI and automation into enterprise applications and workflows using REST APIs, JSON, SQL, scripting, and workflow orchestration
  • Experience supporting SDLC activities, including requirements, design documentation, test case generation, automated testing, deployment support, and incident/problem analysis
  • Knowledge of enterprise security, access controls, data privacy, responsible AI, logging, monitoring, and production support practices
  • Ability to communicate clearly with technical and non-technical stakeholders, coach teams, and influence practical adoption of automation and AI
  • Bachelor's degree in computer science, Information Systems, Engineering, or a related technical discipline, or an equivalent combination of education and directly relevant enterprise experience
• Preferred
  • Working knowledge of JIRA and ServiceNow, including native AI capabilities and process automation use cases
  • Experience with enterprise AI platforms such as Microsoft Copilot, Claude, OpenAI, or Azure AI
  • Experience with automation/testing platforms such as Automation Anywhere, Power Automate, or TestComplete
  • Familiarity with complex enterprise environments such as PeopleSoft, Salesforce, Oracle, ServiceNow, and JIRA
  • Knowledge of agile delivery, DevOps, enterprise architecture, and change management practices
  • Experience establishing AI governance, observability, evaluation, monitoring, prompt catalogs, agent templates, playbooks, or reference architectures

Key Skills

Education

Any Gradute