GDS Consulting_AI & Data_Senior AI Engineer
- Taguig City, Metro Manila
- Permanent
- Full-time
Position Overview
We are seeking an experienced Senior AI Engineer to lead the design, development, and implementation of Agentic AI solutions. This role combines deep expertise in artificial intelligence, process automation to create sophisticated agentic AI workflows that integrate seamlessly with enterprise tools and systems.
Key Responsibilities
AI and Automation Strategy
- 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
Education and Experience
- 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
Advanced Experience
- 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
Technical Competencies
- 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
First 6 Months Objectives
- 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