Contract through 06/30/27 with a possible extension.
Summary:
We are seeking a hands-on Test Automation / AI Solutions Lead to provide dedicated technical support across three priority efforts: FICA redesign, Conversational AI, and RPA.
The role will support test automation and AI-enabled SDLC practices, advance Conversational AI solutions from design through production support, and expand RPA and hybrid automation capabilities. This shared resource will improve IT 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.
Top 3 Must-Have Skills
- Test Automation & Solution Design: Hands-on experience designing and building test solutions, including test plans, dashboards, management frameworks, and automation.
- AI Agents & AI-Enabled Automation: Hands-on experience designing and building AI agents, AI-enabled workflows, and automation using ChatGPT or comparable enterprise AI tools.
- Generative AI & Prompt Engineering: Practical knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, tool use, AI evaluation techniques, and reusable prompt/agent patterns.
Knowledge, Skills & Abilities
Minimum of 3 years of relevant experience required.
Required Qualifications
- Hands-on experience designing and building test solutions, including 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, 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.
Desired Skills – What Would Make Someone a “Home Run”
- 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, and automation/testing platforms such as Automation Anywhere, Power Automate, or TestComplete.
- Familiarity with complex enterprise environments such as PeopleSoft, Salesforce, Oracle, ServiceNow, and JIRA, along 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.
Education
- 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.