Job Description
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.
