AI/LLM Technology Architecture

About the Role

Design and deliver full-stack AI architecture for AI platforms, products, and enterprise solutions. As an AI Architect, you will be responsible for creating scalable, secure, and governance-compliant AI foundations that enable enterprise-wide AI adoption. This role requires deep technical expertise combined with strategic vision and the ability to influence senior stakeholders.

Key Responsibilities

• Architect and implement scalable AI and machine learning models and systems that align with business goals
• Oversee the integration of AI models into existing systems, ensuring seamless deployment and functionality
• Evaluate and select appropriate AI tools, technologies, and frameworks to meet project requirements
• Design data pipelines and workflows for efficient data collection, preprocessing, and storage
• Work closely with data scientists, engineers, and stakeholders to define AI architecture strategies
• Optimize AI models and systems for performance, scalability, and reliability
• Ensure AI systems comply with security standards and regulatory requirements
• Create and maintain comprehensive documentation of AI architecture, design decisions, and workflows
• Stay up-to-date with the latest AI trends and technologies, applying innovative solutions to business problems
• Provide guidance and mentorship to junior team members on AI architecture best practices
• Engage with clients to understand business needs and provide expert guidance on AI strategy and implementation
• Build and maintain strong client relationships, acting as a trusted advisor for AI initiatives
• Support business development by identifying AI opportunities and contributing to proposal development

Required Skills & Knowledge

• Architecture: Enterprise architecture, solution architecture, and technical architecture patterns
• AI/ML: Deep understanding of ML lifecycle, model deployment patterns, and AI system design
• LLMs: Strong knowledge of LLM technologies, their differences, and modalities
• Cloud: Expert-level in at least one cloud provider multi-cloud architecture experience preferred
• Infrastructure: Kubernetes, containerization, GPU clusters, model serving infrastructure
• Security: AI security, model governance, data privacy, compliance frameworks
• Governance: Responsible AI principles, model risk management, AI ethics
• Stakeholder Management: Experience presenting to and influencing senior executives

Preferred Qualifications

• Experience with agentic AI architectures and autonomous system design
• Knowledge of event-driven architectures and real-time AI systems
• Experience with data mesh and modern data architecture patterns
• TOGAF or similar enterprise architecture certification
• Experience in a consulting or client-facing role
• Thought leadership through publications, speaking engagements, or open-source contributions
• Knowledge of AI Native and cloud platforms (OpenAI, Anthropic, AWS, Azure, Google Cloud)

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

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