36 Azure Ai Jobs - Page 2

Gen AI Developers Generative AI - GPT3, ML Ops and Python(3+yrs) Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools Hybrid-Noida Immediate joiner Shweta - 9999309521 shwetaa.imaginators@gmail.com Required Candidate profile vector databases RDBMS, MongoDB and NoSQL databases

Job Title: Software Engineer (Azure AI, Cognitive Services, Machine Learning, IoT) Location: Hyderabad Job Type: [Full-time] Experience Level: [Mid/Senior] Job Description: We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services. Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions.

For maintenance: Python Azure Functions, Durable Function App Azure ML / Azure AI Azure DevOps LLM basics: Azure OpenAI Prompt Engineering techniques FastAPI Azure AI Document Intelligence, open-source models for OCR, extraction

Job Title: Senior Technical Expert - OpenAI & Azure AI Solutions Location: India Experience Required: 8-15 years Job Description We are seeking a highly skilled Senior Technical Expert with extensive experience in OpenAI and Azure AI technologies to join our team. The ideal candidate will have a strong background in AI development, cloud solutions, and hands-on expertise with cutting-edge AI tools and platforms. This role involves designing, implementing, and optimizing AI-based solutions to meet business needs, with a focus on GPT-based models and Azure AI capabilities. Key Responsibilities 1.AI Solution Development: Develop, optimize, and implement AI-powered solutions using GPT models like Azure GPT, ChatGPT, and advanced tools for token cost optimization. Perform performance tuning on GPT models to enhance efficiency and accuracy. 2.Azure AI Expertise: Design and manage solutions using Azure AI Search and VectorDB technologies, including Chroma, ElasticSearch, and other relevant platforms. Leverage Azure cloud services for implementing scalable and secure AI solutions. 3.AI Engineering and Prompt Optimization: Implement prompt engineering techniques to maximize the output efficiency of AI models. Build and refine summarization models to extract concise and accurate information. 4.Programming & Automation: Utilize Python to create and maintain AI pipelines, automation scripts, and performance tracking tools. 5.Collaborative Development: Work with cross-functional teams, including data engineering, front-end, and operations teams, to build end-to-end AI-powered solutions. 6.Integration & Deployment: Use Kubernetes and Helm Charts for seamless deployment of AI models. Collaborate with DevOps teams to ensure smooth integration of AI tools into the existing ecosystem. Mandatory Technical Skills Azure AI Search and VectorDB solutions like Chroma, ElasticSearch. Expertise in GPT models, including Azure GPT, ChatGPT, and related token cost optimization strategies. Python programming for AI model implementation and process automation. Advanced prompt engineering and performance tuning for AI models. Preferred Secondary Skills Proficiency in ReactJS for front-end development. Experience with Azure Synapse and Azure Data Bricks for data processing and analytics. Strong understanding of ElasticSearch for data retrieval optimization. Knowledge of Kubernetes and Helm Charts for application deployment. Required Soft Skills Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Commitment to meeting deadlines and delivering quality solutions. Application Process If you are passionate about AI and Azure technologies and meet the requirements listed above, we encourage you to apply. We are looking for individuals who can contribute to our vision of leveraging advanced AI to solve complex business challenges.

Gen AI Developers Generative AI - GPT3, ML Ops and Python(3+yrs) Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools Hybrid-Noida Immediate joiner Garima-8383973628 Garimaimaginators@gmail.com Required Candidate profile vector databases RDBMS, MongoDB and NoSQL databases

Senior AI/ML Engineer will primarily be responsible to design, develop, and optimize autonomous AI agents that interact with systems, users, and APIs to perform complex tasks. S/he will work at the intersection of LLMs, agentic frameworks, and cloud architectures, developing self-improving AI workflows for automation, coding, and decision-making. Responsibilities Design, build, and deploy AI agents using LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks Integrate large language models (LLMs) (GPT-4,o1, Claude, Llama, Mistral etc.,) into multi-agent systems Develop multi-agent orchestration pipelines, enabling collaboration between AI agents for complex task execution Knowledge of vector databases and embeddings for retrieval-augmented AI (RAG) Implement retrieval-augmented generation (RAG) with vector databases like Milvus, Pinecone, Azure AI Search (with Vector Indexing) Optimize AI workflows using Reinforcement Learning (RLHF) and function calling for improved reasoning and automation Integrate AI agents with APIs, DevOps tools and existing workflows Ensure observability, debugging, and monitoring of AI agent behavior through logging frameworks Implement memory persistence for long-term agent interactions using graph-based memory or event stores Collaborate with cross-functional teams to embed AI agents into DevOps, automation, and software development processes Implement various prompt techniques, including zero-shot, few-shot, chain-of-thought (CoT), and fine-tuning for optimized LLM performance Qualifications B. Tech/B.E. or masters degree in computer science, data science, or a related field 8+ years of strong python programming experience with AI/ML frameworks such as TensorFlow, PyTorch Experience in building self-improving AI agents for software development (e.g., SWE-bots, or self-improving code generation agents) Strong algorithmic thinking, problem-solving skills, and ability to debug AI-driven workflows Knowledge of NLP, semantic search, embeddings, and agent memory management Ability to work with knowledge graphs and symbolic reasoning techniques Familiarity with cloud AI services (Azure AI, AWS Bedrock, Google Vertex AI) and deploying AI agents in Containerized environments like Docker, Kubernetes, AKS or Similar Understanding of LLM Ops, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and function calling

Position- Azure AI Lead/Architect Mandatory Keywords- Azure Ai, Prompt Engineering, c#, GEN AI, .Net Exp- Lead- 7+years Architect- 10+years Salary- Lead-Upto 35 LPA Architect - Upto 50 LPA Notice-Immediate to 30 days Required Candidate profile Azure AI Lead/Architect with expertise in prompt engineering, model tuning, and integration using C# with experience in leveraging Azure AI services to build, optimize, & deploy intelligent solutions

Job Description We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply. Key Responsibilities: Generative AI Development Develop and implement generative AI models using frameworks like LangChain or Llama-Index. Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. Implement Retrieval-Augmented Generation (RAG) workows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for ecient similarity searches. Work with embeddings and build solutions that leverage similarity search for personalized query resolution. Explore and process multimodal data, including image and video understanding and generation. Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. Design and implement RESTful APIs for seamless communication between systems and services. Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workows. Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workows. Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. Leverage containerization tools such as Docker for ecient and reproducible deployments. Ensure security and scalability of backend systems with adherence to industry best practices. Qualications: Essential : Strong Programming Skills: Prociency in Python and experience with backend frameworks like FastAPI, Django, or Flask. Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG). Data Management: Hands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search. Machine Learning Knowledge: Familiarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video. Deployment Experience: Prociency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability. Testing and Debugging: Strong skills in writing and managing unit and integration tests (e.g., Pytest), along with application debugging and performance optimization. Asynchronous Programming: Understanding of asynchronous programming concepts for handling concurrent tasks eciently. Preferred: Cloud Prociency: Familiarity with platforms like AWS, GCP, or Azure, including serverless applications and VM setups. Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript frameworks like Angular or React for better collaboration with frontend teams. Observability and Monitoring: Experience with observability tools to track and evaluate LLM performance in real-time. Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal AI applications and advanced agentic workows. Security Practices: Knowledge of secure coding practices and backend system hardening. Certications: Relevant certications in AI, machine learning, or cloud technologies are a plus.

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have a robust development background in any programming stack, including but not limited to Java, .Net, Python, or Node.js. This role requires hands-on experience with AI/ML, preferably using cloud platforms such as AWS Bedrock, Google Vertex AI, or Azure AI. A solid understanding of Generative AI and the ability to manage multiple projects end-to-end is essential. AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. Primary Responsibilities: Technical Expertise: Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.js Oversee the design, development, and deployment of AI/ML models and solutions Optimize and fine-tune AI/ML models for performance and scalability Ensure best practices in coding, testing, and deployment Own technology decisions and solutions for business problems Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions Project Delivery: Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment Manage multiple AI/ML projects simultaneously, ensuring timely delivery and quality Collaborate with cross-functional teams to define project requirements and deliverables Monitor quality of project and adjust plans as necessary to meet objectives Stakeholder Engagement: Communicate effectively with stakeholders to understand their needs and provide technical insights Present project updates, results, and recommendations to senior management Innovation and Research: Conduct research to identify new opportunities for AI/ML applications Encourage a culture of continuous learning and improvement within the team Analyzes and investigates Provides explanations and interpretations within area of expertise Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field Experience: 10+ years of experience in software development 3+ years of experience delivering solutions with a focus on AI/ML Hands-on experience in delivering production-grade AI/ML projects Proven experience in leading and managing technical teams Experience with deploying AI/ML models in production environments using cloud platforms like AWS, Azure, or GCP Solid background in programming languages such as Java, .Net, Python, or Node.js Skills: Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus Proven excellent problem-solving and analytical skills Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Solid programming skills in Python, with experience in pandas, numpy, and SQL Ability to work in a fast-paced, dynamic environment Robust data engineering skills in EDA, building and maintaining AI/ML data pipelines Solid communication and interpersonal skills Preferred Qualification: Degrees, Diploma or Certifications in the field of AI/ML

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy Advisory, Capability Network I Areas of Work: Data AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy Advisory. The Practice- A Brief Sketch: The Technology Strategy Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative RD transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design guide development of Enterprise wide AI Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current recommend AI Gen AI solutions Conduct discovery workshops and design sessions to elicit AI Gen AI opportunities client pain areas. Utilize strong expertise certification in any of the AI Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7- 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data AI transformations Mandatory knowledge of IT Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Whats in it for you An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7- 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the worlds largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network- a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential