Data Architecture Manager
Accenture
Overview
In this role you lead the AI/ML Computational Science practice within Accenture’s Centre for Advanced AI, guiding the design and delivery of high-impact AI/ML solutions for multiple industries. You will shape technology roadmaps, mentor teams, and drive cross-functional collaboration to turn real-world problems into scalable, secure AI-enabled platforms. You’ll work with cutting-edge GenAI, CV, NLP, and other AI techniques to create value for clients and strengthen Accenture’s thought leadership in AI.
Pay / Benefits- 30 days vacation per year
- private medical insurance
- 3 extra days leave for charitable work
- Lead the AI/ML Computational Science practice and oversee use-case and platform solution development
- Formulate real-world problems into practical, scalable AI/ML solutions leveraging GenAI, CV, NLP, LLMs and related techniques
- Guide multi-disciplinary teams from inception to production, ensuring alignment with client needs and technical excellence
- Provide strategic and technical leadership, shaping roadmaps and mentoring developers
- Drive thought leadership within Accenture Data & AI by sharing insights from projects and research initiatives
- Architect and validate AI/ML architectures, models, and deployment patterns to ensure production-readiness
- Promote software engineering and DevSecOps excellence in AI/ML delivery
- Demonstrate experience delivering enterprise-scale AI/ML services with measurable business impact
- Extensive experience with AI/ML platform technologies and services (Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, vector databases)
- Ability to lead literature reviews, build PoCs, and define architectural patterns for AI/ML implementations
- Design and deploy secure, scalable cloud-based solutions across one or more cloud platforms
- Strong software engineering, DevSecOps and operational excellence in AI/ML delivery
- Proven leadership experience and ability to influence cross-functional stakeholders
- Certified cloud ML credentials (e.g., AWS Certified Machine Learning – Specialty) preferred
- Track record delivering production-grade AI/ML solutions with business impact
- leadership
- mentoring
- cross-functional collaboration
- AI/ML platform technologies (Sagemaker, Vertex, Azure ML, OpenAI)
- LangChain, AutoML
- OCR, STT
Reference: WJ-747_30979024