AI Orchestration Solution Architect
Posted Updated 16
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Summary
Capgemini is hiring an AI Orchestration Solution Architect (based in Mumbai, Bangalore, Pune, or Hyderabad) to design, build, and scale enterprise AI workflows, orchestrating LLMs, AI agents, ML models, and APIs using LangChain, Semantic Kernel, Azure AI, and OpenAI. The architect leads PoCs and enterprise rollouts of autonomous and human-in-the-loop automation across business functions.
Job Description
Job Title: AI Orchestration Solution Architect
Location: Mumbai, Bangalore, Pune, Hyderabad
Grade: E1/E2
Location: Mumbai, Bangalore, Pune, Hyderabad
Grade: E1/E2
Role Summary
Seeking an experienced AI Orchestration Solution Architect to design, build, and scale intelligent AI workflows across enterprise functions. The role involves orchestrating LLMs, AI agents, ML models, rule engines, APIs, and enterprise applications to enable autonomous and human-in-the-loop business processes.
Key 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 and reusable frameworks.
• 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.
• Create reusable templates, accelerators, and reference architectures.
• Manage the AI lifecycle, including model selection, prompt engineering, inference, feedback, monitoring, governance, and optimization.
• Lead PoCs, pilots, and enterprise-scale implementations.
• Collaborate with business, product, and technology teams to align solutions with business goals.
• Define architectures for AI agents, copilots, and multi-agent solutions.
• Build scalable orchestration patterns and reusable frameworks.
• 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.
• Create reusable templates, accelerators, and reference architectures.
• Manage the AI lifecycle, including model selection, prompt engineering, inference, feedback, monitoring, governance, and optimization.
• Lead PoCs, pilots, and enterprise-scale implementations.
• Collaborate with business, product, and technology teams to align solutions with business goals.
Required Skills & Qualifications
AI & Orchestration • Hands-on experience with AI orchestration frameworks and LLM-based applications.
• Strong knowledge of prompt engineering, RAG/retrieval patterns, tool integrations, workflow management, and multi-agent systems.
• Experience designing AI copilots and autonomous agent architectures.
• Strong knowledge of prompt engineering, RAG/retrieval patterns, tool integrations, workflow management, and multi-agent systems.
• Experience designing AI copilots and autonomous agent architectures.
Architecture & Platforms • Proven ability to design scalable, distributed AI solutions.
• Knowledge of workflow engines, orchestration platforms, microservices, APIs, and event-driven architectures.
• Experience translating business requirements into technical architectures.
• Knowledge of workflow engines, orchestration platforms, microservices, APIs, and event-driven architectures.
• Experience translating business requirements into technical architectures.
Intelligent Automation • Experience with BPM, RPA, and intelligent automation.
• Knowledge of process optimization; process mining experience is a plus.
• Knowledge of process optimization; process mining experience is a plus.
Cloud & Enterprise Systems • 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.
• 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.
Preferred Qualifications
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
• Certifications in Azure AI, AWS AI/ML, Generative AI, or Enterprise Architecture preferred.
• Experience delivering enterprise AI transformation initiatives.
• Certifications in Azure AI, AWS AI/ML, Generative AI, or Enterprise Architecture preferred.
• Experience delivering enterprise AI transformation initiatives.