81 Azure Openai Jobs

The Forward Deployed Engineer (FDE) - AI Enablement is a senior-level position where you will be responsible for achieving results through solutioning, developing, and implementing AI/ML capabilities as an individual contributor. As an FDE - AI Enablement, you are expected to stay updated on the latest developments in Citi and your field, contributing to the directional strategy by identifying applications within your organization and the business. Your key responsibilities will include enhancing the current toolset with AI/ML capabilities, solutioning for identified use cases, building quick proof-of-concept to showcase solutions, collaborating with the larger AI/ML stream across the data organization, and utilizing your in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications. Additionally, you will be involved in formulating strategies for applications development and other functional areas, gaining comprehensive knowledge of how different business areas integrate to achieve business objectives, and providing evaluative judgment based on the analysis of factual data in complex and unique situations. To be successful in this role, you should have at least 10 years of experience in AI/ML, preferably within the financial industry. Hands-on experience in Python and utilizing ML Libraries such as TensorFlow, Scikit-learn, and Pytorch for Big Data is required. You should also have practical experience with LLMs and GenAI APIs (such as OpenAI GPT, Bard, etc.), applying Machine Learning or NLP models in real-time applications for large datasets, working with MLOPs and Model Deployment Pipelines, using PySpark and understanding big data concepts. Knowledge in Azure OpenAI, Google Vertex, and Stellar is considered a plus. Stakeholder management experience, demonstrated leadership skills, and proven project management skills are also essential for this role. A Bachelor's/University degree is required, with a Master's degree being preferred. This position falls under the Technology job family group and specifically in the Applications Support job family. It is a full-time role. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details on Citis EEO Policy Statement and the Know Your Rights poster, please refer to the respective documents.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

We are looking for a highly skilled and motivated Senior Data Scientist with 35 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 35 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsofts ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment. Show more Show less

As a Senior .Net Full Stack Developer at IQVIA Bangalore, you will be part of a global organization with over 82,000 employees worldwide. Joining IQVIA's world-class technology team, you will play a crucial role in designing, developing, and enhancing software programs, cloud applications, and proprietary products. Your responsibilities as a Full Stack Software Engineer will include designing, coding, and debugging software, as well as improving the performance of existing software. You will also be involved in maintaining, upgrading, and recommending new technologies to increase productivity. Additionally, you will investigate software-related complaints and make necessary adjustments to ensure optimal software performance. To qualify for this role, you should have at least 5 years of experience and proven expertise in using front-end frameworks like React, JavaScript/Typescript, backend development with .Net 8, SQL Server, and Azure. Experience with charts, graphs, and drilldowns using d3.js and chart.js is preferred. Knowledge of DevOps principles, CI/CD development using automation tools like GitLab, and Azure OpenAI (GPT LLM) is a plus. Strong analytical, communication, and organizational skills are essential for this position, along with experience in software development methodologies and building complex web systems. The ability to multitask effectively will also be beneficial in this role. IQVIA is a prominent global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. By creating intelligent connections, IQVIA accelerates the development and commercialization of innovative medical treatments to improve patient outcomes and population health worldwide. To learn more about IQVIA, visit https://jobs.iqvia.com.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

We&aposre seeking a visionary Enterprise Architect to join our CTO Office and shape cross-portfolio solutions at the intersection of AI, Customer Experience (CX), Cybersecurity, and Digital Skilling technologies. Youll architect scalable, standardized solutions for global clients, govern complex deals, and collaborate with diverse stakeholders to translate business needs into future-ready technical strategies. As a trusted advisor, you will evangelize solution value, articulating how the right technology mix enables our customers to achieve strategic outcomes. At TeKnowledge , your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progressin a place where people lead and tech empowers. Youll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world. Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career developmentensuring you stay ahead in an ever-evolving world. Why Youll Enjoy It Here: Be Part of Something Big A growing company where your contributions matter. Make an Immediate Impact Support groundbreaking technologies with real-world results. Work on Cutting-Edge Tech AI, cybersecurity, and next-gen digital solutions. Thrive in an Inclusive Team A culture built on trust, collaboration, and respect. We Care Integrity, empathy, and purpose guide every decision. Were looking for innovators, problem-solvers, and experts ready to drive change and grow with us. We Are TeKnowledge. Where People Lead and Tech Empowers. Responsibilities: Design enterprise-grade architectures integrating structured/unstructured data, analytics, and advanced AI models (GenAI, LLMs, cognitive services). Build scalable data pipelines and lake-centric architectures to power real-time analytics and machine learning. Architect multi-cloud AI/ML platforms using Azure, including deployment of LLMs (Azure OpenAI and open-source models like LLaMA, Mistral, Falcon). Define infrastructure, data, and app requirements to deploy LLMs in customer private data centers. Lead technical reviews for high-value deals, identifying risks and mitigation strategies. Design integrated solutions across AI, CX, Cybersecurity, and Tech Managed Services portfolios. Develop standard design patterns and reusable blueprints for repeatable, low-risk, and scalable solution delivery. Present architectural solutions to C-suite executives, aligning technical outcomes with business value and ROI. Collaborate with sales and pre-sales to scope complex opportunities and develop compelling proposals. Foster innovation across CTO, Sales, and Solution teams. Identify synergy across offerings (e.g., Microsoft Copilot + AI-first CX + Cybersecurity). Support product teams with market feedback and solution evolution. Define architectural best practices ensuring security, compliance, and scalability. Mentor delivery teams on frameworks and emerging tech adoption. Shape and execute the enterprise architecture strategy aligned with business goals. Champion digital transformation and technology innovation. Leverage expertise in Azure and Microsoft D365 to support solution architecture. Drive responsible AI adoption and ensure awareness of privacy, bias, and security in deployments. Ensure all solutions meet IT security and compliance standards. Collaborate with Legal and Procurement for contract negotiations and vendor performance. Lead, mentor, and build a high-performing, collaborative CTO team with a customer-first mindset. Qualifications: Education: Bachelor&aposs or Masters degree in Computer Science, Information Technology, Cybersecurity, or related field. Experience: 10+ years in enterprise architecture, with 5+ years in customer-facing roles. Certifications: Preferred TOGAF, Zachman, ITIL, CISSP, Azure certifications or equivalents. Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale. Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage. Strong knowledge of enterprise architecture frameworks and multi-cloud platforms (with a focus on Azure). Ability to design and deliver end-to-end solutions including networks (voice and data), microservices, business applications, resilience, disaster recovery, and security. Understanding of On-Prem / Private Cloud workload migration to public or hybrid cloud environments. Commercial acumen with the ability to articulate the business value of cloud-based solutions to executive stakeholders. Strong problem-solving and critical thinking skills with a proactive, outcome-oriented mindset. Experience with cloud computing, data center technologies, virtualization, and enterprise-grade security policies/processes. Proficiency in AI/ML, cybersecurity frameworks, customer experience platforms, and Microsoft Cloud (Azure, M365, D365). Exceptional communication and storytelling abilities for both technical and non-technical audiences. Experience engaging with large enterprise clients across industries such as government, healthcare, banking & finance, travel, and manufacturing. Empowering Leadership and Innovation At TeKnowledge, we are committed to fostering a culture of inspiring leadership and innovation. Our core leadership competencies are integral to our success: Inspire: We prioritize creating an inclusive environment, leading with purpose, and acting with integrity and respect. Build: Our leaders own business growth, drive innovation, and continuously strive for excellence. Deliver: We focus on setting clear priorities, embracing agility and change, and fostering collaboration for growth. We are looking for talented individuals who embody these competencies, are ready to grow, and are eager to contribute to our dynamic team. If you are passionate about making a meaningful impact and excel in a collaborative, forward-thinking environment, we invite you to apply and help us shape the future. Show more Show less

What Youll Do Experience in creating GenAI applications such as answering engines, extraction components, and content authoring. Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex. Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques. Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements. Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding. Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering. Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience. What Youll Bring Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles. Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes. Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions. Ability to quickly adapt to new technology and be innovative in creating solutions Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP.

Senior Engineer: The T C A practice has experienced significant growth in demand for engineering & architecture roles from CST, driven by client needs that extend beyond traditional data & analytics architecture skills. There is an increasing emphasis on deep technical sk ills like s uch as strong ex pertise i n Azure, Snowflake, Azure OpenAI, and Snowflake Cortex, along with a solid understanding of their respective functionalities. In dividual w ill work on a robust pipeline of T C A-driven projects with pharma clients . This role offers significant opportunities for progression within the practice. What Youll Do Opportunity to work on high-impact projects with leading clients. Exposure to complex and technological initiatives Learning support through organization sponsored trainings & certifications Collaborative and growth-oriented team culture. Clear progression path within the practice. Opportunity work on latest technologies Successful delivery of client projects and continuous learning mindset certifications in newer areas Contribution to partner with project leads and AEEC leads todeliver complex projects & growTCA practice. Development of experttech solutions for client needs with positive feedback from clients and team members. What Youll Bring 3- 4 years of experience in RDF ontologies, RDF based knowledge graph (Anzo graph DB preferred), Data modelling, Azure cloud and data engineering Understanding of ETL processes, Data pull using Azure services via polling mechanism and API/middleware development using Azure services. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

As a GenAI Engineer, you will be responsible for architecting and developing Generative AI-based applications using Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence. Your role will involve building and optimizing Retrieval-Augmented Generation (RAG) pipelines for enterprise search, knowledge management, and domain-specific Q&A systems. You will integrate Large Language Models (LLMs) into production applications while ensuring performance, scalability, and governance. Designing intelligent workflows using LangChain, LlamaIndex, and Semantic Kernel for orchestrating multi-step AI interactions and agent behaviors will be a key aspect of your responsibilities. Collaboration with data scientists, ML engineers, and DevOps to deploy, monitor, and manage cloud-native AI solutions is essential. Additionally, you will incorporate OCR capabilities and document understanding pipelines using Azure Form Recognizer and Document Intelligence, ensuring compliance with enterprise standards, data privacy, and responsible AI principles. Leading proof-of-concepts (PoCs), rapid prototypes, and solution demos to validate GenAI use cases across departments is also part of your role. Maintaining a strong understanding of evolving LLM architectures, foundation models, and emerging GenAI techniques, as well as contributing to technical documentation, best practices, and reusable solution accelerators, are crucial aspects of the job. The ideal candidate for this position should hold a Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience with Azure AI services, including Azure OpenAI, Azure Machine Learning Studio, Azure Cognitive Search, and Azure Form Recognizer / Document Intelligence is required. Strong Python development skills, especially in the context of LLM pipelines and prompt engineering, are essential. Expertise with GenAI libraries and tools such as LangChain, LlamaIndex, and Semantic Kernel is highly desirable. Familiarity with RAG architecture, vector databases (e.g., FAISS, Redis, Azure Cognitive Search), and embedding models is a plus. Experience with containerization (Docker) and cloud-native deployment pipelines using Azure DevOps, Kubernetes, or Terraform is preferred. An understanding of Responsible AI principles, including bias mitigation, explainability, and model monitoring, is necessary. Excellent problem-solving and communication skills are also required, along with the ability to work in cross-functional agile teams. Preferred qualifications for this role include experience integrating agent-based frameworks for autonomous task execution and multi-agent collaboration, as well as knowledge of other GenAI ecosystems like Hugging Face Transformers, Anthropic Claude, or Mistral models. A background in enterprise content management, knowledge graphs, or intelligent document processing (IDP) would be beneficial. Azure certifications such as Microsoft Certified: Azure AI Engineer Associate and Microsoft Certified: Azure Solutions Architect Expert are a plus. In return, we offer you the opportunity to work on groundbreaking AI initiatives at an enterprise scale. You will be part of a collaborative, fast-paced, and innovation-driven team culture, with flexible work arrangements (remote/hybrid), competitive compensation, equity options, and comprehensive benefits.,

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources, and opportunities to unleash their full potential. The power we create together when we combine your strengths with ours is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big We Need You. **Job Title:** Junior Data Scientist **Location:** Bangalore **Reporting to:** Senior Manager - Analytics **Purpose of the role:** The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of LLM-based frameworks, tools, and technologies, cloud-native technologies and solutions, and microservices-based software architecture and design patterns. As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. **Key tasks & accountabilities:** **Large Language Models (LLM):** - Experience with LangChain, LangGraph - Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler **Multi-modal Retrieval-Augmented Generation (RAG):** - Expertise in multi-modal AI systems (text, images, audio, video) - Designing and optimizing chunking strategies and clustering for large data processing **Streaming & Real-time Processing:** - Experience in audio/video streaming and real-time data pipelines - Low-latency inference and deployment architectures **NL2SQL:** - Natural language-driven SQL generation for databases - Experience with natural language interfaces to databases and query optimization **API Development:** - Building scalable APIs with FastAPI for AI model serving **Containerization & Orchestration:** - Proficient with Docker for containerized AI services - Experience with orchestration tools for deploying and managing services **Data Processing & Pipelines:** - Experience with chunking strategies for efficient document processing - Building data pipelines to handle large-scale data for AI model training and inference **AI Frameworks & Tools:** - Experience with AI/ML frameworks like TensorFlow, PyTorch - Proficiency in LangChain, LangGraph, and other LLM-related technologies **Prompt Engineering:** - Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting - Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy - Strong understanding of context window management and optimizing prompts for performance and efficiency **Qualifications, Experience, Skills:** **Level of educational attainment required (1 or more of the following):** - Bachelor's or master's degree in Computer Science, Engineering, or a related field. **Previous Work Experience Required:** - Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. **Technical Skills Required:** - Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. - Proficiency in implementing and optimizing machine learning models for natural language processing. - Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. - Strong programming skills in languages such as Python and proficiency in relevant frameworks. - Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create a future with more cheer.,

We are seeking a Generative AI Engineer with 712 years of experience for a 12-month hybrid engagement (2 days onsite) in Bengaluru, Chennai, Hyderabad, Pune, or Vadodara. The candidate will develop enterprise-grade, cloud-native GenAI applications leveraging Azure OpenAI, Azure Cognitive Services, Azure ML Studio, and Azure Document Intelligence. Proficiency in implementing LLMs, RAG pipelines, OCR, and agent-based frameworks using LangChain, LlamaIndex, and Semantic Kernel is critical. The engineer should have experience in deploying scalable AI solutions across production environments. This role demands a mix of technical depth and applied AI implementation with strong delivery ownership and a problem-solving mindset. Location - Bengaluru, Chennai, Hyderabad, Pune, Vadodara (Hybrid 2 days WFO)

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

Acronotics Limited is a specialist consulting and services firm focused on modern-age automation technologies such as Robotic Process Automation (RPA) and Artificial Intelligence (AI). We apply human intelligence to build cutting-edge robotic automation & AI solutions for our clients. Our team consists of world-class automation & AI engineers, designers, consultants, and thought leaders. Our mission is to help clients design, develop, implement, and run game-changing, transformative robotic automation and AI solutions. We are looking for a detail-oriented and strategic Business Analyst to support the successful execution of our Projects. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases. Key Responsibilities: - Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs. - Define and refine natural language query use cases across all phases, from core financial KPIs to predictive simulations. - Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes). - Validate query responses generated by the Copilot and provide structured feedback to the technical team. - Support scenario design for forecasting and ML-based simulations. - Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance. - Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes. - Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs. - Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context. Requirements: - 5+ years of experience as a Business Analyst in corporate finance or analytics-focused projects. - Strong understanding of financial reporting, variance analysis, forecasting, and budgeting processes. - Experience working with BI tools such as Power BI and OLAP cubes (SSAS). - Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making. - Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus. - Comfortable working with semi-structured and structured data sources. - Excellent communication skills able to distill complex technical outputs into business-friendly narratives. - Proficient in creating BRDs, user stories, workflows, and test cases. Good to have: - Experience in enterprise finance transformation or AI implementation projects. - Knowledge of Azure ecosystem tools (Azure ML, Azure Functions, Azure Key Vault). - Experience with tools like JIRA, Confluence, or Azure DevOps. - Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA). Location: Bangalore,

The Lead Engineer/Architect position is a remote opportunity requiring 6-10 years of experience. You will be responsible for utilizing your expertise in .NET on Azure, Power Platform (Power Automate / CoPilot Studio), and Generative AI (GenAI) with LLM integration and Retrieval-Augmented Generation (RAG) patterns. Your role will involve contributing to a forward-thinking project focused on creating intelligent solutions for analyzing permitting proposals. This initiative demands a comprehensive grasp of the Microsoft technology stack, AI/ML patterns, and the ability to design scalable, secure systems. Key skills for this position include proficiency in .NET Core / C# full-stack development, a strong understanding of Azure PaaS offerings (such as Functions, API Management, Blob, Cosmos DB), experience with Power Platform's Power Automate and CoPilot Studio, and hands-on experience with Azure OpenAI / GPT-based LLMs and RAG patterns. Additionally, familiarity with enterprise-grade data architecture and governance frameworks, excellent communication skills, system documentation capabilities, problem-solving skills, and cross-functional collaboration abilities are essential. If you possess these skills and are looking to join a dynamic team working on cutting-edge solutions, this role could be a perfect fit for you.,

As a Principal Engineer for Cloud Product (Azure, AI-Focused, Java/ReactJS) in our Engineering / Cloud & AI Solutions department, you will be responsible for leading the architecture, design, and delivery of an enterprise-grade Azure-native cloud product infused with AI capabilities. Your role will involve shaping the product's architecture, collaborating with AI, DevOps, and UI teams, and ensuring scalability, reliability, and innovation are prioritized. In this position, your key responsibilities will include architecting and developing cloud-native applications on Microsoft Azure, leading backend development in Java (Spring Boot, Quarkus) and frontend development in ReactJS, as well as integrating Azure AI services into core workflows. You will also be involved in designing robust APIs, event-driven systems, and advocating for DevOps best practices. To be successful in this role, you should possess 10+ years of full-stack software development experience, expert-level proficiency in Java and strong frontend skills in ReactJS. Deep knowledge of the Microsoft Azure cloud platform, experience with AI/ML services, and a solid understanding of modern API design, microservices, and DevOps tooling are essential qualifications. Additionally, as a Principal Engineer, you will have the opportunity to mentor engineers, drive architectural decision-making, and evaluate third-party tools and services within the Azure ecosystem. Preferred qualifications include experience with AI agents, vector databases, and domain-specific products. Joining our team means leading the design and delivery of a cutting-edge Azure-based AI platform, collaborating with top-tier professionals, and enjoying competitive compensation, performance bonuses, equity options, and comprehensive benefits. At Quest, we value autonomy, innovation, and engineering excellence, making it an ideal environment for technology enthusiasts to thrive. If you are looking for a rewarding career where you can contribute to innovative solutions and work alongside dedicated professionals, Quest is the place for you. Visit our website for more information on Quest Careers and join us in shaping the future of technology where "Next Meets Now.",

As an AI Innovation Engineer within the Business Process Automation team at Hitachi Energy, you will play a crucial role in designing and implementing AI-powered solutions to enhance the efficiency and effectiveness of various functions within the Common Shared Services organization. By joining our dynamic team, you will have the opportunity to work on projects that have a real impact on our communities and society. Your responsibilities will include designing AI-powered solutions, integrating AI Agents for handling complex tasks, creating and optimizing generative models such as GANs and VAEs, and developing multimodal AI solutions that combine different data modalities. You will also be involved in implementing POCs using MaaS platforms and AI Agents, configuring and deploying AI models, building APIs, and collaborating with cross-functional teams to test and roll out AI-driven systems. To qualify for this role, you should have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with a minimum of 7-10 years of experience in AI and machine learning. Proficiency in programming languages like Python and experience with AI frameworks such as TensorFlow, PyTorch, and Keras are essential. Strong analytical, problem-solving, and communication skills are also required to effectively translate technical concepts and work closely with stakeholders. If you are passionate about leveraging AI technology to drive innovation and automation in Shared Services workflows, and stay updated on the latest trends in AI, then this role is perfect for you. Join our global team at Hitachi Energy and be part of a diverse and collaborative environment where your contributions will make a difference.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

You are an experienced Azure Bot & AI Services Specialist with 2-4 years of experience, looking to join a team in Trivandrum. Your role will involve implementing and managing Microsoft Bot Framework, Azure Bot Service, Azure OpenAI Service, and Azure Cognitive Services (CLU, Custom QNA, Document Intelligence). You will work on innovative AI-driven solutions and chatbots, ensuring seamless integration and optimization across business applications. Your key responsibilities will include developing and deploying bots using Microsoft Bot Framework and Azure Bot Service, integrating Azure OpenAI Service and Azure Cognitive Services to enhance bot functionality, designing and implementing AI-powered solutions using Azure AI Search, and working closely with cross-functional teams to integrate AI-driven services into business systems. You will also be responsible for troubleshooting, optimizing, and maintaining bots and AI services to ensure smooth and effective operation. To excel in this role, you should have strong hands-on experience with Microsoft Bot Framework, Azure Bot Service, and Azure OpenAI Service. Expertise in Azure Cognitive Services including CLU, Custom QNA, and Document Intelligence is essential. Experience with Azure AI Search and related technologies, a good understanding of cloud-based architecture and services, as well as strong problem-solving, analytical, and troubleshooting skills are required. Experience in GenAI projects or similar AI initiatives would be a plus. If you are passionate about digital transformation and have a future-proof philosophy, this role at UST, a global digital transformation solutions provider, might be the perfect fit for you. Join a team that partners with clients from design to operation, embedding innovation and agility into organizations to make a boundless impact. With over 30,000 employees in 30 countries, UST is dedicated to touching billions of lives through technology and purpose-driven work. ,

As an Azure Bot & AI Services Specialist, you will be responsible for implementing and managing Microsoft Bot Framework, Azure Bot Service, Azure OpenAI Service, and Azure Cognitive Services (CLU, Custom QNA, Document Intelligence). Your role will involve developing and deploying bots, integrating AI services to enhance bot functionality, and designing AI-powered solutions using Azure AI Search. Collaboration with cross-functional teams to integrate AI-driven services into business systems and ensuring the smooth operation of bots and AI services will be crucial. Key Responsibilities - Develop and deploy bots using Microsoft Bot Framework and Azure Bot Service. - Integrate Azure OpenAI Service and Azure Cognitive Services (CLU, Custom QNA, Document Intelligence) to enhance bot functionality. - Design and implement AI-powered solutions using Azure AI Search and related technologies. - Collaborate with cross-functional teams to integrate AI-driven services into business systems. - Troubleshoot, optimize, and maintain bots and AI services to ensure smooth and effective operation. Required Skills & Experience - Strong hands-on experience with Microsoft Bot Framework, Azure Bot Service, and Azure OpenAI Service. - Expertise in Azure Cognitive Services including CLU, Custom QNA, and Document Intelligence. - Experience with Azure AI Search and related technologies. - Good understanding of cloud-based architecture and services. - Strong problem-solving, analytical, and troubleshooting skills. Good To Have - Experience in GenAI projects or similar AI initiatives. Experience: 2 - 4 years of experience Location: Trivandrum Skills: Microsoft Bot Framework, ASP.NET Core, Azure OpenAI, Cognitive Services,

As a Generative AI Developer at CGI, you will have the opportunity to lead the design and implementation of innovative AI solutions using cutting-edge technologies. You will be responsible for leveraging Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and advanced AI/ML technologies to create AI-powered systems that deliver optimal performance, scalability, and security within cloud environments. Your key responsibilities will include architecting and designing scalable AI solutions, developing AI/ML models focusing on Natural Language Processing (NLP) and generative AI use cases, collaborating with cross-functional teams for deploying AI models into production environments, integrating advanced analytics solutions using Python and various AI/ML frameworks, overseeing cloud architectures, mentoring junior AI engineers and data scientists, engaging with stakeholders to identify AI-driven improvements, acting as a subject matter expert on AI-related topics, and driving the implementation of DevOps practices for continuous integration and deployment in AI model development. To excel in this role, you should possess extensive experience with Microsoft Azure Cognitive Services, Azure AI, and Azure Open-AI, expertise in Python, AI/Machine Learning, and NLP technologies, proficiency in Databricks for large-scale data processing, deep understanding of Cloud Architecture, experience in implementing AI models in production environments using DevOps practices, strong analytical thinking skills, knowledge of AI, Machine Learning, and Data Science principles, excellent communication and presentation skills, leadership abilities, and a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. If you are passionate about AI technologies, have a proven track record in solution architecture roles, and are looking to work in a collaborative and innovative environment, this role at CGI could be the perfect fit for you. Join us in turning meaningful insights into action and contribute to our collective success as a CGI Partner. Grow your career, develop your skills, and make a difference in one of the largest IT and business consulting services firms in the world.,

Qualcomm India Private Limited is looking for a Lead Conversational AI Developer to join the Intelligent Automation Center (IAC) team. As a Lead Conversational AI Developer, you will be responsible for designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI. You should have hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search, and Azure OpenAI. Additionally, you will be utilizing Generative AI in projects and should have a strong expertise in Python for building bot solutions. Furthermore, you will be working with Azure Cognitive Services, Power Automate, Azure Logic Apps, and APIs to enhance Copilot Agent and bot functionalities. You should have experience in software development focusing on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit is required. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform is also essential. Responsibilities include ensuring the quality of coded components through unit testing, collaborating with test teams for product testing and UAT, reporting status, issues, and risks to tech leads, improving skills in automation products through certifications, and training team members on Conversational AI related technologies. You should be able to work independently with minimal supervision, possess good team management skills, and have excellent communication and collaboration skills. Minimum qualifications include 4+ years of work experience in programming, scripting, and/or automation with a Bachelor's degree or 6+ years of relevant work experience without a Bachelor's degree. Additionally, you should have 2+ years of experience with Database Design structures such as Mongo DB and MySQL. Knowledge of conversational AI, Intelligent Automation methodologies, Process Mining concepts, and experience in business process diagrams and process flow charts are required. Applicants should have a Bachelor's degree and at least 5 years of IT-relevant work experience. Certification in Industry Leading Robotic Automation products, experience in Agile development, and cloud experience are considered a plus. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm.,

senior or mid-level Azure AI expert with Microsoft teams integration experience including One drive functionality for a integration project to work on reducing latency in interactions through the platform and other integrated platforms.

Position - Senior Software Engineer - Azure Stack (Enterprise Analytics & Data Science) Our Enterprise Analytics team is at the forefront of transforming data into actionable insights that drive strategic decisions across the organization. We are a collaborative, cross-functional group of engineers, data scientists, analysts, and architects who value: Innovation : We embrace new technologies and encourage experimentation to solve complex business problems. Ownership : Every team member is empowered to take initiative and drive projects from concept to production. Transparency : We foster open communication, regular knowledge sharing, and inclusive decision-making. Continuous Learning : We support professional development through certifications, tech talks, and hands-on learning. Impact : Our work directly influences enterprise-wide initiatives, from customer experience to operational efficiency. Youll be joining a team that believes in building with purpose , where engineering excellence meets data-driven strategy. Key Responsibilities: Design, develop, and deploy robust, scalable, and secure applications on the Azure platform. Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions. Implement CI/CD pipelines using Azure DevOps or GitHub Actions. Optimize application performance, scalability, and reliability. Ensure best practices in cloud security, monitoring, and cost management. Mentor junior engineers and contribute to code reviews and architectural discussions. Stay current with Azure innovations and recommend new tools and technologies. Required Qualifications: 6+ years of professional software development experience. 3+ years of hands-on experience with Azure services such as: Azure SQL, Cosmos DB, Azure Storage Azure App Services, Azure Functions, Azure Kubernetes Service (AKS) Azure Key Vault, Azure Monitor, Application Insights Strong proficiency in backend development using languages such as Python, Node.js, or Go . Experience with RESTful APIs , microservices architecture and cloud platforms (e.g., AWS, GCP, Azure). . Solid understanding of CI/CD pipelines , infrastructure as code (IaC) using ARM templates , Bicep , or Terraform . Proficiency in working with databases (SQL and NoSQL). Familiarity with containerization and orchestration (Docker, Kubernetes). Strong problem-solving skills and ability to work independently in a remote or hybrid environment. Preferred Qualifications: Microsoft Certified: Azure Solutions Architect Expert or Azure Developer Associate. Experience with Azure OpenAI , Azure Logic Apps , or Power Platform . Exposure to Agile/Scrum methodologies and tools like Jira or Azure Boards. Contributions to open-source projects or technical blogs. Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

Technical Expertise: Must Have: Experience in Emma orchestration engine is a must . Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Hands-on experience with Azure open AI and related tools and services. Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment.