5 days ago
Mumbai, IndiaSenior
Responsibilities
- Design multi-step AI workflows integrating LLMs, ML models, decision engines, APIs, and enterprise systems.
- Define architectures for AI agents, copilots, and multi-agent solutions.
- Build scalable orchestration patterns, reusable frameworks, templates, accelerators, and reference architectures.
- Drive AI-enabled process automation across finance, supply chain, operations, procurement, and customer service.
- Implement human-in-the-loop and autonomous workflow models.
- Develop solutions using LangChain, Semantic Kernel, Azure AI Studio, OpenAI APIs, and similar platforms.
- Manage model selection, prompt engineering, inference, feedback, monitoring, governance, and optimization across the AI lifecycle.
- Lead proofs of concept, pilots, and enterprise-scale implementations.
- Collaborate with business, product, and technology teams to align solutions with business goals.
Requirements
- Hands-on experience with AI orchestration frameworks and LLM-based applications.
- Strong knowledge of prompt engineering, retrieval-augmented generation patterns, tool integrations, workflow management, and multi-agent systems.
- Experience designing AI copilots and autonomous agent architectures.
- Ability to design scalable distributed AI solutions and translate business requirements into technical architectures.
- Knowledge of workflow engines, orchestration platforms, microservices, APIs, and event-driven architectures.
- Experience with BPM, RPA, and intelligent automation; process mining experience is a plus.
- Experience with Azure AI, AWS AI/ML, Google Vertex AI, or similar platforms.
- Familiarity with AI infrastructure, model deployment, and MLOps.
- Understanding of SAP, Oracle, Salesforce, or similar enterprise applications is advantageous.
- Strong stakeholder management and business process understanding.
- Bachelor's or master's degree in Computer Science, AI, Data Science, Engineering, or a related field is preferred.
- Certifications in Azure AI, AWS AI/ML, Generative AI, or Enterprise Architecture are preferred.
- Experience delivering enterprise AI transformation initiatives.
Benefits
- Role is based in Mumbai, Bangalore, Pune, or Hyderabad.
- The position is classified at Grade E1/E2.
Categories
Solutions Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.