Developer - Application Development Microsoft N 4A

Job description

Developer - Application Development Microsoft N Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.  Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook. Job Description AI Consultant – Azure OpenAI, Generative AI & Copilot Studio (Dynamics 365 Ecosystem) Job Title AI Consultant – Azure OpenAI, Generative AI & Agentic AI Solutions Experience 8–12+ Years (depending on level)   Role Summary We are seeking an experienced AI Consultant with expertise in Azure OpenAI, Generative AI, Microsoft Copilot Studio, and Agentic AI solution development. The ideal candidate will be responsible for designing, architecting, and implementing AI-powered business solutions that leverage Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Conversational AI, and Intelligent Automation. The consultant will work closely with business stakeholders, functional teams, and technical architects to transform business processes through AI-first solutions built on Microsoft's AI ecosystem. Experience with Microsoft Dynamics 365 Customer Engagement (Customer Service, Sales, Contact Center, Field Service, Marketing) will be a significant advantage.   Key Responsibilities 1. AI Strategy & Consulting Responsibilities • Assess client business processes and identify AI transformation opportunities. • Conduct AI readiness assessments and AI maturity evaluations. • Define AI use cases and business value realization roadmaps. • Recommend appropriate AI architectures, frameworks, and implementation approaches. • Facilitate AI workshops, discovery sessions, and design thinking engagements. • Translate business requirements into AI solution blueprints. Deliverables • AI Strategy Roadmap • Solution Architecture Documents • AI Value Realization Plans • Business Case and ROI Analysis   2. Azure OpenAI Solution Development Responsibilities • Design and develop enterprise-grade Generative AI solutions using Azure OpenAI. • Configure and optimize:• GPT-4o • GPT-4 Turbo • Embedding Models • Reasoning Models • Build prompt engineering frameworks. • Develop secure and scalable GenAI architectures. • Design prompt orchestration and AI workflow pipelines. • Implement Responsible AI and governance controls. Skills Required • Azure OpenAI Service • Prompt Engineering • Function Calling • AI Reasoning Frameworks • Content Safety • Azure AI Foundry • AI Governance   3. Agentic AI & Copilot Studio Development Responsibilities • Design and develop AI Agents using Microsoft Copilot Studio. • Build autonomous and semi-autonomous business agents. • Implement:• Agent-to-Agent (A2A) communication • Multi-Agent Orchestration • Task Planning & Execution • Human-in-the-Loop processes • Configure actions, connectors, APIs, and plugins. • Build AI copilots for business users, customer service agents, and executives. • Integrate Copilot Studio with third-party systems and enterprise applications.   4. Retrieval Augmented Generation (RAG) Responsibilities • Design and implement RAG architectures. • Configure enterprise knowledge grounding mechanisms. • Build vector search solutions. • Integrate internal knowledge repositories. • Improve LLM responsiveness through contextual grounding. Technologies • Azure AI Search • Vector Databases • Azure Blob Storage • SharePoint • Dataverse • Knowledge Management Platforms   5. Dynamics 365 CE AI Solutions (Preferred) Responsibilities • Design AI-enabled solutions for:• Dynamics 365 Customer Service • Dynamics 365 Contact Center • Dynamics 365 Sales • Dynamics 365 F