2 days ago
Kolkāta, IndiaSenior
Responsibilities
- Identify high-value business processes and AI opportunities using process analysis, business process mapping, process mining, and value-led prioritization.
- Design agentic workflows, multi-agent orchestration, AI agent architectures, LLM architectures, and prompt-engineering solutions for production deployment.
- Develop enterprise AI and GenAI strategies using cloud, non-cloud, and open-source platforms.
- Guide AI productionization and scaled deployment, including MLOps, AI governance, model monitoring, change management, and value realization.
- Define responsible AI recommendations covering bias detection, explainability, fairness, and regulatory compliance.
- Build quantitative and qualitative AI transformation business cases and value-realization frameworks.
- Lead AI and GenAI proofs of concept, prototypes, high-level solution designs, and client implementations.
- Conduct discovery workshops and design sessions with client stakeholders, including C-level audiences.
- Assess client technology landscapes and define architecture principles and platform components involving cloud, APIs, RAG, MCP, observability, and agent orchestration.
- Manage budgeting, forecasting, and financial proposals for AI transformation engagements.
Requirements
- 5–9 years of total professional experience.
- 3–5 years of strategy consulting experience at a consulting firm.
- At least 2 years designing and building end-to-end enterprise AI and GenAI strategic solutions using platforms such as Google Vertex AI/Gemini, Azure AI/Copilot, Claude, Amazon Bedrock, IBM Watson, or DataRobot.
- Strong understanding of traditional AI, generative AI, agentic AI, multi-agent orchestration, and advanced cognitive methods.
- At least 2 years designing agentic AI workflows involving LLM architecture, prompt engineering, workflow automation, and AI agent design for production environments.
- At least 2 years writing quantitative and qualitative business cases for strategic initiatives or AI and data transformation, including value realization and AI governance frameworks.
- Practical knowledge of IT and enterprise architecture concepts, including cloud, API-first architecture, RAG, MCP, agent orchestration, MLOps, and observability.
- At least 2 years leading or managing large teams, structuring analytical work, facilitating workshops, developing AI strategy recommendations, and creating POCs.
- Understanding of data supply chains and their role in AI productionization and scaled deployment.
- Knowledge of responsible AI frameworks, including bias, explainability, and regulatory compliance.
- Strong understanding of at least one preferred industry, including financial services, retail, consumer goods, telecom, life sciences, transportation, or automotive/industrial.
- MBA from a tier 1 institute preferred.
- Cloud AI practitioner certification from Azure, AWS, or Google desirable but not essential.
Benefits
- Opportunity to work on transformative projects with G2000 clients.
- Co-create with strategy leaders, industry experts, enterprise-function practitioners, and business intelligence professionals.
- Personalized training modules to develop strategy and consulting skills, industry knowledge, and capabilities.
- Boundaryless collaboration across the organization in a culture committed to equality and responsible business.
- Role based in Bangalore, Gurugram, Mumbai, Pune, Chennai, Kolkata, or Hyderabad.
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.