AI & Data Science Engineer

Accenture; Metro Manila; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Accenture is seeking an experienced AI Engineer to design, build, and deploy innovative AI solutions that solve real business challenges. You will work with Generative AI, Machine Learning, Deep Learning, Neural Networks, Chatbots, and Cloud AI Services.

In this role, you will design, develop, and deploy AI-powered applications, build scalable models in cloud and on-prem environments, create production pipelines, mentor teammates, and drive architecture decisions in cross‑functional teams.

Qualifications

• Experience designing AI-powered solutions for real-world business problems.
• Strong knowledge of Generative AI, ML, DL and neural networks.
• Experience deploying AI models in cloud and on-prem environments.

Responsibilities

• Design, develop, and deploy AI-powered applications and solutions.
• Build ML and Generative AI models for business use cases.
• Develop scalable AI systems in cloud and on-prem environments.
• Create production-ready AI deployment pipelines and frameworks.
• Mentor team members and promote best practices.
• Collaborate with stakeholders and drive architectural decisions.

Skills

Generative AI

Machine Learning

Deep Learning

Neural Networks

Chatbots

Cloud AI

AI Deployment

Technical leadership

Job description

About the Role

We're looking for an experienced AI Engineer to design, build, and deploy innovative artificial intelligence solutions that solve real business challenges.

In this role, you'll work on cutting-edge technologies including Generative AI, Machine Learning, Deep Learning, Neural Networks, Chatbots, and Cloud AI Services. You'll collaborate with cross-functional teams to develop production-ready AI applications and drive technical decisions that shape business outcomes.

If you're passionate about building intelligent systems and leveraging AI at scale, we'd love to hear from you.

What You'll Do

• Design, develop, and deploy AI-powered applications and solutions.

• Build and implement Machine Learning and Generative AI models for real-world business use cases.

• Develop scalable AI systems using cloud-based and on-premises environments.

• Create production-ready application pipelines and AI deployment frameworks.

• Apply advanced techniques such as:

  • Generative AI

  • Deep Learning

  • Neural Networks

  • Chatbots

  • Image Processing

  • Predictive Modeling

• Collaborate with business stakeholders, engineers, architects, and data teams to deliver innovative solutions.

• Provide technical leadership and guidance to project teams.

• Drive key technical decisions and contribute to architecture discussions.

• Mentor team members and promote knowledge sharing and best practices.

• Monitor project progress and continuously improve development and deployment processes.

• Support the deployment, performance monitoring, and optimization of AI models in production environments.