1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and structure large language models that process and generate natural language.
- Create neural network configurations trained on large quantities of unlabeled text data.
- Design scalable Azure cloud architectures for artificial intelligence workloads.
- Integrate AI agents and workflows within enterprise environments.
- Manage and optimize large-scale data processing pipelines for language-model training.
- Lead the development and refinement of architectural standards across projects.
- Provide solutions and make technical decisions spanning multiple teams.
- Advise stakeholders and mentor junior team members.
Requirements
- At least 15 years of experience in Microsoft Azure Architecture.
- 15 years of full-time education.
- Strong proficiency in Microsoft Azure Architecture, Solution Architecture, Large Language Models, AI Agents, and Workflow Integration.
- Experience designing scalable cloud architectures for AI workloads.
- In-depth knowledge of neural network design and natural language processing.
- Expertise in large-scale data processing pipelines for training language models.
- Knowledge of Azure AI Foundry and Azure Well-Architected architecture best practices.
- Knowledge of Azure Landing Zones, security and networking design, and end-to-end AI/ML workload solution design.
- Stakeholder management, estimation, and insurance-domain knowledge.
Benefits
- The position is based at the Accenture Bengaluru office.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.