23 hours ago
Mumbai, IndiaStaff+
Responsibilities
- Identify business problems suitable for AI-first approaches and design AI-native operating models and agentic architectures.
- Apply RAG, enterprise memory, and contextual AI patterns while creating reusable AI blueprints and accelerators.
- Build AI-enabled products, prompt libraries, connectors, deployment accelerators, and enterprise knowledge platforms using vector databases.
- Translate AI capabilities into measurable business outcomes, ROI, solution plans, and business cases.
- Lead AI workshops and executive discussions and define governance, risk management, responsible AI, observability, and compliance approaches.
- Support AI commercialization, recurring service models, modern engineering operating models, and innovation programs.
Requirements
- At least 8 years of experience in AI, cloud, or digital transformation.
- Experience with Generative AI, Agentic AI, RAG solutions, solution planning, business-case development, and reusable AI assets or accelerators.
- Deep understanding of AI-native architectures and AI product engineering.
- Knowledge of AI governance, observability, and compliance.
- Strong communication and workshop facilitation skills, with a PE/VC mentality.
- Bachelor’s degree or equivalent required; master’s degree and cloud or AI-native certifications preferred.
Categories
Solutions 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.