Digital AI Engineer

Vertere Global Solutions, Inc.; Makati; On-site; PHP 3,500,000 - 7,000,000; Full time

Job summary

Vertere Global Solutions, Inc. is seeking a Principal Engineer - Digital AI to lead AI governance, evaluation, and assurance across enterprise AI systems. The role focuses on developing standards, certification programs, and advisory services while translating evolving regulations into practical offerings.

You will guide models, governance, and risk management for predictive and Generative AI, LLMs, and multi-agent workflows, driving robust AI lifecycle assurance.

Qualifications

• Bachelor's degree in a technical discipline; advanced degree preferred.
• 15+ years of technical experience in software platforms, cloud AI, cybersecurity, or related tech.
• 5+ years direct experience with AI technologies.
• Experience translating AI governance and regulatory requirements into practical methodologies and services.
• Knowledge of AI evaluation, testing, and risk-mitigation controls.

Responsibilities

• Provide technical leadership for AI governance and assurance across platforms.
• Develop standards, certification, training, advisory, and assessment services.
• Translate emerging technologies and regulatory needs into practical offerings.
• Evaluate AI systems for risk, reliability, and safety; identify gaps.
• Engage stakeholders and communicate complex concepts clearly.

Skills

AI governance

Model risk management

Regulatory requirements

Assurance frameworks

Certification programs

Stakeholder engagement

Technical writing

Presentation skills

Education

Bachelor's degree in Computer Science/Engineering

Advanced degree in AI/ML/related field

Job description

Summary

Principal Engineer - Digital AI, Consumer TIC serves as the Global Subject Matter Expert for Digital AI technologies, to develop standards, certification, assurance, training, advisory, and assessment services across digital AI systems. This role provides technical leadership for AI governance, enterprise and cloud AI, predictive and Generative AI, foundation and frontier models, AI agents and agentic workflows, multi-agent systems, and AI lifecycle assurance. The position translates emerging technologies, regulations, standards, and customer needs that strengthen the company's AI standards and services portfolio.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Information Systems, or a related technical discipline. Advanced degree preferred.

• 15+ years of technical experience in software platforms, cloud systems, AI/ML systems, cybersecurity, technology risk, model lifecycle management, digital assurance, or related technology domains, including 5+ years of direct experience working with AI technologies.

• Demonstrated experience translating AI governance, model risk management, and regulatory requirements into practical evaluation methodologies, controls, assurance frameworks, certification programs, or customer-facing services.

• Demonstrated ability to evaluate and test AI systems and identify failure modes, risks, and control gaps, including model performance, transparency, traceability, explainability, reliability, robustness, human-in-the-loop controls, fairness and bias, privacy, security, accountability, and operational resilience.

• Working knowledge of AI evaluation and testing methodologies, including benchmarking, scenario-based testing, red teaming, bias and fairness evaluation, robustness testing, model monitoring, and assessment of risk-mitigation controls.

• Working knowledge of predictive AI and machine learning, Generative AI, Large Language Models (LLMs), foundation and frontier models, retrieval-augmented generation (RAG), AI agents, multi-agent systems, and associated technical, operational, and governance risks, including hallucinations, prompt injection, jailbreaks, data leakage, model drift, unsafe actions, and output reliability.

• Strong presentation, technical writing, thought leadership, and stakeholder engagement capabilities.

• Advanced degree in Artificial Intelligence, Machine Learning, Robotics, Computer Science, Data Science, or a related technical discipline.

• Familiarity with AI governance frameworks, standards, and emerging global AI regulatory requirements.

• Experience developing or applying standards, conformity assessment methodologies, certification programs, audit frameworks, testing approaches, technical requirements, or commercial services for emerging technologies.