South Geeks

Solutions Engineer

• Partner with business leaders and teams to identify productivity, automation, and knowledge-management opportunities
• Conduct interviews, workshops, and assessments to gather and document AI use cases
• Evaluate opportunities based on business impact, feasibility, risk, and organizational readiness
• Develop business cases and recommendations for prioritization and investment
• Collaborate with technology leadership to maintain an enterprise AI opportunity roadmap
• Serve as a subject matter expert and internal advocate for Generative AI and agentic technologies
• Drive adoption of enterprise AI platforms and tools, including solutions such as Codex, Claude for Enterprise, Microsoft Copilot, and other approved AI technologies
• Design and deliver training programs, workshops, office hours, and educational materials
• Coach employees and teams on effective prompting, workflow design, and responsible AI usage
• Establish best practices and reusable patterns that enable teams to gain value from AI tools quickly and safely
• Configure, integrate, and support AI-powered workflows and solutions under the guidance of technology leadership
• Assist with implementation of AI agents, automations, and integrations using approved enterprise platforms
• Collaborate with engineering, infrastructure, security, and data teams to ensure solutions meet technical and compliance requirements
• Perform lightweight administration, configuration, testing, and operational support for AI platforms and related services
• Document solution architectures, implementation approaches, and operational procedures
• Promote responsible, secure, and compliant use of AI technologies across the organization
• Partner with security, legal, compliance, and technology teams to ensure appropriate governance practices are followed
• Monitor emerging AI technologies, industry trends, and best practices to inform enterprise strategy
• Help establish standards, metrics, and success measures for AI adoption and business value realization

AI Solutions Engineer

Robotics

• Analyze business processes and identify automation opportunities
• Design and develop UiPath workflows, bots, and automation components
• Collaborate with business stakeholders to gather requirements and define automation scope
• Create Process Design Documents (PDD) and Solution Design Documents (SDD)
• Configure UiPath Orchestrator for bot scheduling, monitoring, and management
• Build reusable automation components and follow best practices
• Perform unit and integration testing, and support UAT activities
• Troubleshoot and resolve bot failures and production issues
• Monitor bot performance and drive continuous improvement
• Maintain technical documentation and knowledge repositories
• Ensure compliance with security, audit, and governance standards
• Support production deployments and hypercare activities

AI Solutions Engineer

RPA Developer, UIPath