We are seeking a Test Automation/AI Solutions Lead for a 9-month contract role based in Oakland, California. In this hands-on position, you will provide dedicated technical support across three priority efforts: FICA redesign, Conversational AI, and RPA. You will advance test automation and AI-enabled SDLC practices, develop Conversational AI solutions from design through production support, and expand RPA and hybrid automation capabilities. This shared resource role will improve delivery quality and efficiency, establish reusable enterprise patterns, and reduce one-off solutions while operating within established security, privacy, data-handling, and responsible AI controls. 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