Test Automation / AI Solutions Lead - Remote
ERPA
- Job
- 29173
- Posted
- Location
- Remote
- Work type
- Contract
- Tax terms
- C2C
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- REST
- SQL
- Oracle
- Azure
- Salesforce
- ServiceNow
- Agile
- JIRA
- Requirements
About the job
• Minimum of 3 years of relevant experience.
• 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.
• Strong communication skills with technical and non-technical stakeholders; ability to coach teams and influence practical adoption of automation and AI.
Preferred Experience:
• 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.
• Familiarity with Agile delivery, DevOps, enterprise architecture, and change management practices.
• Experience establishing AI governance, observability, evaluation, monitoring, prompt catalogs, agent templates, playbooks, or reference architectures.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent directly relevant enterprise experience.