Capgemini Hiring! Full Time Azure Senior Solution Consultant in Federal Territory - Ricebowl

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

This role requires strong functional expertise, end-to-end business analysis capabilities, and the ability to lead complex change initiatives while engaging senior stakeholders.

Role Overview

We are seeking an experienced Azure Consultant to support the design and implementation of an enterprise-scale AI Foundation Platform for a leading regional bank.

Successful candidate will work closely with business stakeholders, technical teams, cloud engineers, data teams, and technology partners to deliver scalable AI and Generative AI solutions leveraging Microsoft Azure AI services.

Key Responsibilities

AI Solution Consulting & Delivery

• Engage business and technology stakeholders to understand requirements and identify AI-driven opportunities.
• Support the development of AI adoption roadmaps and solution recommendations aligned with business objectives.
• Collaborate with cross-functional teams to design and deliver enterprise AI and GenAI solutions.
• Facilitate workshops, requirement-gathering sessions, and solution demonstrations.

AI Platform & Solution Development

Contribute to the design and implementation of enterprise AI capabilities, including:

• AI-ready data platforms and data integration
• Embedding models and vector databases
• Knowledge management and Ground Truth frameworks
• Prompt engineering and prompt management
• Model governance and version control
• Retrieval-Augmented Generation (RAG) solutions
• Semantic search capabilities
• Agentic AI and multi-agent workflows
• AI monitoring, observability, and performance tracking
• AI governance, security, and compliance controls
• LLMOps practices and operational frameworks

Azure AI Expertise

• Serve as a subject matter expert on Microsoft Azure AI technologies including Azure AI Foundry, Azure OpenAI Service, and Azure Cognitive Services.
• Design and implement reusable AI components and accelerators.
• Support the development of AI-powered business solutions such as:
• Enterprise chatbots and virtual assistants
• Customer onboarding and KYC automation
• Document intelligence and report generation
• Knowledge management and enterprise search solutions
• AI-powered decision support applications

Stakeholder Management

• Work closely with client stakeholders and project teams throughout the solution lifecycle.
• Provide guidance on best practices, solution design considerations, and implementation approaches.
• Support solution reviews, user acceptance testing, and production deployment activities.
• Contribute to project documentation, knowledge-sharing initiatives, and capability development.

Required Experience

• 7-10 years of experience in technology consulting, solution delivery, digital transformation, or enterprise applications.
• Minimum 3 years of experience delivering AI, Machine Learning, or Generative AI initiatives.
• Experience working with cloud platforms, preferably Microsoft Azure.
• Hands-on experience with Azure AI Foundry and Azure OpenAI Service.
• Strong understanding of:
• Generative AI and Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Vector Databases
• AI Governance and Responsible AI
• Agentic AI concepts and frameworks
• Experience working in consulting, system integration, or technology services environments.
• Experience delivering projects within banking, financial services, or other regulated industries.
• Strong communication, stakeholder management, and presentation skills.
• Ability to work collaboratively across business and technical teams.

Preferred Qualifications (Good To Have)

• Microsoft Azure certifications (Azure AI Engineer, Azure Fundamentals, Azure Solutions Architect, or equivalent).
• Experience with enterprise AI governance and compliance frameworks.
• Exposure to MLOps, LLMOps, DataOps, or DevOps practices.
• Experience supporting enterprise-scale digital transformation initiatives.
• Knowledge of banking processes, customer onboarding, lending, or risk management domains.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.