About the role
AI summarisedAccenture is seeking an AI/ML Technology Architecture Associate Manager to design and lead AI-driven solutions for enterprise clients. The role involves architecting end-to-end AI systems, guiding implementation teams, and driving innovation in machine learning, generative AI, and automation. This position is within Accenture's Applied Intelligence group, focusing on digital transformation across industries.
BusinessFull-timeOther Functions
Key Responsibilities
- Define end-to-end AI solution architectures across data ingestion, model development, orchestration, and deployment
- Lead technical design for machine learning, generative AI, NLP, and automation use cases
- Partner with business, product, engineering, and data teams to translate requirements into scalable architectures
- Provide oversight across model integration, MLOps, cloud infrastructure, and security design
- Evaluate AI tools, platforms, and frameworks to recommend best-fit solutions for client environments
- Guide implementation teams and ensure alignment with architectural standards and delivery best practices
- Support AI governance, risk management, model monitoring, and compliance frameworks
- Drive innovation by identifying new AI capabilities, experimentation opportunities, and technical accelerators
Requirements
- Experience in AI, data, or solution architecture, including designing enterprise-scale AI systems
- Strong expertise in machine learning, deep learning, and/or generative AI solution design
- Hands-on experience with cloud platforms (Azure, AWS, or GCP) and enterprise architecture frameworks
- Solid understanding of MLOps, model lifecycle, CI/CD pipelines, and monitoring practices
- Ability to translate business goals into technical architecture and implementation roadmaps
- Experience leading cross-functional teams and guiding technical delivery
- Strong communication and stakeholder-management skills
- Experience integrating AI into AML, risk, or compliance systems
- Familiarity with vector databases, LLMOps, and retrieval-augmented generation architectures
- Architecture certification (e.g., Azure Solutions Architect, AWS Solutions Architect)
- Experience with responsible AI frameworks, governance, or model risk management