TELECOMMUTE Test Automation/AI Solutions Lead

Our client requires 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 CAI solutions from design through production support and expand RPA and hybrid automation capabilities.

This shared resource will improve ITSS delivery quality and efficiency, establish reusable enterprise patterns and reduce one-off solutions while operating within established security, privacy, and data-handling within responsible AI controls.

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

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

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