AI Engineer

About the Role

Join Accenture's Artificial Intelligence team and help shape the future of enterprise AI. As an AI/ML Architecture Specialist, you will play a key role in designing scalable AI platforms and architecture that enable organizations to accelerate innovation, operationalize machine learning, and drive business transformation. Working closely with cross-functional teams, you will evaluate emerging technologies, define AI strategies, and build secure, governed, and high-performing AI solutions at enterprise scale.

Key Responsibilities

• Design, develop, and evolve enterprise-scale AI and machine learning architecture frameworks, standards, and technical capabilities.

• Evaluate and compare emerging technologies, platforms, and tools to recommend optimal solutions aligned with business and technical requirements.

• Define implementation roadmaps for deploying and scaling AI foundations across enterprise environments.

• Architect and operationalize end-to-end AI platforms that support model development, deployment, monitoring, and governance.

• Assess and integrate technologies across data platforms, machine learning operations (MLOps), AI services, security, and governance frameworks.

• Design and develop custom architectural components that enhance scalability, reliability, and performance of AI ecosystems.

• Optimize compute infrastructure and platform performance to improve model training, inference, observability, and operational efficiency.

• Implement AI governance frameworks, including responsible AI practices, security controls, risk management, and monitoring mechanisms.

• Collaborate with stakeholders, data scientists, engineers, and business teams to deliver innovative AI solutions and drive successful outcomes.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

• Minimum 5 years of experience in AI, machine learning, data platforms, cloud architecture, or related technology domains.

• Intermediate proficiency in Machine Learning concepts, methodologies, and implementation practices.

• Experience designing or supporting scalable data, analytics, or AI platforms.

• . Understanding of system architecture, cloud technologies, and modern software engineering principles.

• Strong analytical, problem-solving, and communication skills with the ability to collaborate across multiple teams.

• Ability to work in a dynamic environment and manage multiple priorities effectively.

Preferred Qualifications

• Intermediate proficiency in AI Agents and agentic AI frameworks.

• Intermediate proficiency in Database Architecture and data platform design.

• Intermediate proficiency in Foundation Models and Large Language Models (LLMs).

• Experience with Foundation Model Fine-Tuning and Large Language Model Fine-Tuning techniques.

• Knowledge of MLOps, AI governance, responsible AI, and model lifecycle management.

• Experience working with enterprise cloud platforms and AI services.

• Relevant AI, machine learning, cloud, or architecture certifications.