1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Own the end-to-end technical architecture of the platform SDK, including context management, agent lifecycle, tool registry, and integration contracts.
- Set and enforce design standards across six engineering pods operating under two Engineering Managers.
- Select technologies for the orchestration framework, knowledge graph backend, and LLM runtime.
- Define ontology schema governance and resolve cross-domain schema conflicts with Finance, Legal, Procurement, and HR.
- Lead the technical relationship with the enterprise architect and CIO team.
- Translate CISO and compliance requirements into implementable platform specifications.
- Review and approve cross-pod architecture decisions and maintain the platform technical debt register.
- Design large language models and their neural-network parameters for training on unlabeled text data.
Requirements
- At least 18 years of professional experience.
- 15 years of full-time education.
- Required expertise in Large Language Models (LLMs).
Categories
AI ResearchML Engineering
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.