EY GDS Consulting_AI & Data_Senior AI Engineer 

Philippines, Taguig 

168716299

• Design and architect end-to-end agentic ai solutions that combined with process automation
• Lead the development of agentic AI workflows that can autonomously execute complex business processes
• Evaluate and integrate cutting-edge AI technologies, including large language models, machine learning algorithms, and cognitive automation tools
• Establish best practices and standards for AI-driven automation implementations• Build and deploy agentic AI systems capable of multi-step reasoning, planning, and execution
• Develop robust integrations between AI agents and enterprise tools (RPA, CRM, ERP, databases, APIs, cloud services)
• Create intelligent document processing solutions combining OCR, NLP, and computer vision technologies
• Implement monitoring, logging, and error handling systems for automated workflows• Analyze complex business processes to identify agentic ai automation opportunities
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Optimize existing automation workflows for performance, reliability, and scalability
• Conduct process mining and analysis to identify bottlenecks and improvement opportunities
• Mentor junior engineers and provide technical guidance on AI and automation projects
• Collaborate with cross-functional teams including data scientists, software engineers, and business analysts
• Lead proof-of-concept initiatives and pilot programs for AI
• Present technical solutions and recommendations to senior leadership and stakeholders
• Bachelor’s degree in Computer science, Engineering, Data Science, or related technical field
• Minimum 5+ years of experience in process automation and AI engineering
• Minimum 3+ years of hands-on experience with RPA platforms and tools
• Minimum 2+ years of experience building agentic AI workflows or autonomous AI systems• Advanced experience with AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers
• Proven experience building agentic AI systems: Multi-agent frameworks (LangGraph, Autogen, N8N, CrewAI), autonomous workflow orchestration, AI planning and reasoning systems
• Strong programming skills: Python (required), JavaScript, C#, Java, or similar languages
• API integration expertise: REST/SOAP APIs, webhook implementation, microservices architecture
• Cloud platforms experience: AWS, Azure, or Google Cloud Platform with AI/ML services• Natural Language Processing: Experience with LLMs, prompt engineering, text analysis, and conversational AI
• Computer Vision: Image processing, OCR technologies (Tesseract, ABBYY, Azure Cognitive Services)
• Workflow orchestration: Apache Airflow, Prefect, or similar workflow management tools
• Database technologies: SQL and NoSQL databases, data pipeline development
• DevOps and MLOps: CI/CD pipelines, containerization (Docker, Kubernetes), model deployment and monitoring• Enterprise system integration: SAP, Salesforce, Microsoft Office 365, SharePoint, Oracle applications
• Business intelligence tools: Power BI, Tableau, or similar analytics platforms
• Version control and collaboration: Git, Azure DevOps, Jira, Confluence
• Monitoring and logging: Application monitoring, performance tracking, error handling systems

• Experience with multi-agent AI systems and agent-to-agent communication protocols
• Background in cognitive automation and intelligent document processing (IDP)
• Experience with process mining tools (Celonis, ProcessGold, Minit)
• Knowledge of business process management (BPM) platforms
• Certification in AI (Microsoft AI-102, UiPath AI Profesional)• Experience with reinforcement learning for process optimization
• Knowledge of api integration in automation workflows
• Background in cybersecurity and compliance automation
• Experience with edge computing and IoT device automation
• Familiarity with industry-specific automation (finance, healthcare, manufacturing)• Experience leading technical teams and mentoring engineers
• Track record of successful large-scale automation implementations
• Strong presentation and communication skills for executive-level audiences
• Experience with agile development methodologies and project management

• Systems thinking: Ability to design complex, interconnected automation ecosystems
• Problem-solving: Advanced analytical skills for troubleshooting and optimization
• Innovative smindset: Stay current with emerging AI and automation technologies
• Quality focus: Commitment to building robust, scalable, and maintainable solutions• Communication: Ability to explain complex technical concepts to non-technical stakeholders
• Collaboration: Work effectively with diverse teams across technical and business functions
• Adaptability: Thrive in fast-paced environments with evolving technology landscapes
• Leadership: Guide technical decisions and mentor team members

• Successfully design and implement at least 2 major agentic AI automation solutions
• Mentor and upskill team members on advanced automation and AI technologies• Maintain 95%+ uptime for critical automation workflows
• Continuously optimize existing solutions for performance and cost-effectiveness
• Stay current with industry trends and recommend technology stack improvements
• Contribute to the organization's AI and automation strategy and best practices

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