125 Azure Ai Jobs - Page 3

Acronotics Limited specializes in robotic process automation, artificial intelligence, and intelligent automation technologies. We build and implement cutting-edge robotic automation and AI solutions, leveraging human intelligence to create transformative products and services. As a specialist consulting and services firm, we focus on modern-age automation technologies such as RPA and AI. Our flagship product, Radium AI, automates bot monitoring and support, delivering frictionless digital worker support. We are committed to helping our clients design, develop, and implement game-changing automation solutions. This is a full-time on-site role for a Technical Architect (Azure AI + GenAI) located in Bengaluru. As the Technical Architect, you will be responsible for designing and implementing AI solutions using Azure AI and Generative AI technologies. Your primary task will involve designing the end-to-end system architecture for a GenAI based solution to query enterprise financial data from Power BI, OLAP Cubes, and documents. Additionally, you will define the Azure AI tech stack, data integrations, security protocols, and deployment pipeline, and oversee the actual implementation of this solution. Your key responsibilities will include defining the phased architecture covering Power BI, cubes, unstructured docs, web, and ML, selecting Azure components such as OpenAI, Cognitive Search, Synapse, and Logic Apps, ensuring scalability, security, and performance best practices, supporting cross-role coordination, mentoring technical leads, and aligning the solution with enterprise standards and data governance policies. To be successful in this role, you should have at least 5 years of experience in enterprise technical architecture, including GenAI use cases, expertise with the Azure AI ecosystem, API management, and LLM orchestration, and proven experience in designing multi-phase AI platforms. If you are passionate about leveraging cutting-edge technologies to drive innovation and automation, and have a strong background in technical architecture and AI solutions, we encourage you to apply for this exciting opportunity at Acronotics Limited.,

You will be joining Acronotics Limited, a company specializing in robotic process automation, artificial intelligence, and intelligent automation technologies. Your role as a Technical Architect (Azure AI + GenAI) will involve designing and implementing AI solutions utilizing Azure AI and Generative AI technologies. Specifically, you will be tasked with creating the system architecture for a GenAI based solution to access enterprise financial data from Power BI, OLAP Cubes, and various documents. Your responsibilities will include defining the Azure AI tech stack, data integrations, security protocols, and deployment pipeline, as well as overseeing the implementation of the solution. Your key responsibilities will involve defining a phased architecture that covers Power BI, cubes, unstructured docs, web, and machine learning. Additionally, you will be responsible for selecting Azure components such as OpenAI, Cognitive Search, Synapse, and Logic Apps, ensuring scalability, security, and performance best practices, supporting cross-role coordination, and mentoring technical leads. It will be essential to align the solution with enterprise standards and data governance policies. To be successful in this role, you should have at least 5 years of experience in enterprise technical architecture, with a focus on GenAI use cases. You should possess expertise in the Azure AI ecosystem, API management, and LLM orchestration, as well as a proven track record in designing multi-phase AI platforms. If you are passionate about leveraging cutting-edge technologies to create transformative products and services, and have a strong background in technical architecture and AI solutions, we encourage you to apply for this exciting opportunity at Acronotics Limited.,

The role of an AI Architect involves leading the design and development of intelligent enterprise solutions powered by Microsoft Copilot, Azure AI, and agentic frameworks. This position presents a unique opportunity to influence the application of AI in practical business scenarios by integrating large language models, natural language interfaces, and multi-step intelligent workflows into enterprise systems. If you are enthusiastic about creating human-like, context-aware digital agents capable of automating, orchestrating, and transforming workflows, this role is tailored for you. Responsibilities include architecting and implementing AI solutions using Microsoft 365 Copilot, designing and developing agentic workflows across Microsoft 365 and Azure ecosystems, building use cases for various domains using agentic frameworks, creating extensible copilots by integrating enterprise data through various frameworks, designing natural language-driven user experiences, collaborating with cross-functional teams to transform requirements into scalable solutions, defining and promoting standards for prompt engineering, responsible AI, security, and performance optimization, and staying updated on Microsoft's AI roadmap and evolving capabilities. The ideal candidate for this role should have experience in building intelligent applications using REST APIs and SDKs, integrating AI into enterprise workflows and business logic, and working collaboratively with data scientists, architects, and engineering teams. Additionally, the candidate should possess a total of 10-15 years of IT industry experience, with a minimum of 4+ years in Azure AI solutions, enterprise architecture, or AI/ML-focused development roles. Preferred certifications include Azure AI Engineer Associate (highly recommended) and Azure Solutions Architect Expert (good to have). If you are a forward-thinking individual with a passion for AI and a strong background in Azure AI solutions, this role offers a platform to drive innovation and make a significant impact in the field of artificial intelligence.,

You will be joining a social enterprise, Jaipur Rugs, which aims to connect rural craftsmanship with global markets by producing luxurious handmade carpets. Founded by Mr. Nand Kishore Chaudhary, this family-run business offers a unique range of hand-knotted and hand-woven rugs that are created using a traditional art form that is over 2500 years old. The company has revolutionized the way artisans are supported by providing them livelihood opportunities directly at their doorstep, eliminating the need for middlemen. With a network of over 40,000 artisans located in 600 rural Indian villages across five states, Jaipur Rugs follows an end-to-end business model from sourcing wool to exporting the finished handmade rugs. Their exquisite collection of rugs, crafted from the finest wool and silk, has received global recognition and awards. The products are currently exported to over 45 countries, with a sales arm in the US, Jaipur Living, Inc., based in Georgia, Atlanta. As part of your role, you will collaborate with management to evaluate existing workflows and identify areas where AI can be implemented. Your responsibilities will include designing and developing AI-driven solutions to enhance various business functions such as HR, Finance, Procurement, Operations, and Customer Service. You will utilize technologies like NLP, machine learning, data analytics, and automation tools to address business challenges and opportunities through AI adoption. To excel in this position, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A minimum of 3-7 years of experience in AI/ML roles, particularly in a corporate transformation context, is preferred. Proficiency in machine learning, NLP, RPA, and enterprise AI tools is essential. Hands-on experience with platforms like TensorFlow, OpenAI, Azure AI, or similar technologies is a plus. Additionally, strong problem-solving, communication, and stakeholder management skills are vital for success in this role. Joining Jaipur Rugs presents a strategic opportunity to be at the forefront of their digital evolution. You will play a key role in shaping the organization's future as it transitions into an AI-first company. As part of the team, you will contribute towards driving innovation, implementing AI solutions, and ensuring ethical AI use while staying compliant with data privacy regulations.,

You will be responsible for designing end-to-end solutions using Node.JS for backend and Vue.JS for frontend to create custom portals and administration interfaces. Additionally, you will integrate Azure AI services, Google OCR, and Azure OCR into client workflows. In the realm of AI/ML engineering, you will develop and optimize vision-based AI models such as Layout Parsing (LP), Layout Inference (LI), and Layout Transformation (LT) using Python. You will also implement NLP pipelines for document extraction, classification, and data enrichment. As part of cloud and database management, you will architect and optimize MongoDB databases on Azure for scalability, security, and performance. Furthermore, you will be responsible for managing cloud infrastructure on Azure for AI workloads, including containerization and serverless deployments. Your role will involve providing technical leadership by leading cross-functional teams in solution delivery and troubleshooting complex technical issues related to OCR accuracy, AI model drift, or system integration. You will also play a key role in client enablement by advising clients on technical best practices for scaling AI solutions, documenting architectures, conducting knowledge transfers, and mentoring junior engineers. To excel in this position, you must have expertise in technologies such as Vue.JS, Node.JS, Python, Azure AI, NLP techniques, and OCR technologies including Google Vision OCR and Azure Form Recognizer. Experience with MongoDB, Azure cloud services, Infrastructure-as-Code tools, and CI/CD pipelines is essential. The ideal candidate will have at least 10+ years of software development experience with a focus on AI/ML, OCR, or document automation, including deploying enterprise-scale solutions in cloud environments. Preferred qualifications include certifications in Azure Solutions Architect, MongoDB Developer, or Google Cloud AI/ML, as well as experience with alternative OCR tools, AI platforms, and knowledge of specific integrations and technologies. Overall, this role requires a strong technical background, leadership skills, and a passion for delivering innovative solutions in AI, ML, and cloud technologies.,

As a Copilot Architect at Sonata Software, you will be responsible for leveraging your 10+ years of experience to design and implement resilient software systems using your expertise in Gen AI Applications and cloud platforms like Azure, AWS, and Google. Your role will involve utilizing your strong understanding of design patterns, SOLID principles, and hands-on experience with tools such as Lucid, Visio, and DrawIO. Your excellent communication skills will be key in engaging with internal and external stakeholders to design scalable solutions that meet the needs of clients in industries such as Telecom, Media, Technology, Retail & CPG, Manufacturing, BFSI, and HLS. Your proficiency in Python programming and libraries, along with experience working with Azure AI services like Azure OpenAI and Cognitive Services, will enable you to fine-tune pre-trained models and integrate AI solutions into real-world applications. In this role, you will provide thought-leadership in identifying and implementing Gen AI use cases, guiding Tech Leads and junior developers in the team, and collaborating with developers to implement these use cases effectively. Preference will be given to candidates located in Bengaluru who can work from the office regularly. If you are passionate about modernization engineering and have a track record of success in designing and deploying Gen AI applications, then this position at Sonata Software is the perfect opportunity for you to showcase your skills and contribute to the growth of our clients through innovative solutions. For more information about Sonata Software, please visit www.sonata-software.com.,

As a Training Program Developer specializing in AI and Machine Learning, your primary responsibilities will include: - Developing, designing, and delivering comprehensive training programs on Generative AI, large language models (LLMs), Azure OpenAI, Azure AI, Machine Learning, and Deep Learning. - Creating training materials such as presentations, hands-on labs, and documentation to support learning objectives. - Conducting training sessions, workshops, and webinars for clients and internal teams to ensure a deep understanding of AI and ML concepts and their practical applications. - Keeping abreast of the latest advancements in AI, ML, and Generative AI technologies to continuously enhance and customize the training curriculum. - Providing expert guidance and support to clients and internal teams on AI and ML projects, including best practices, implementation strategies, and troubleshooting. - Collaborating with consulting teams to align training content with the newest features and updates in Azure AI and related technologies. - Evaluating the effectiveness of training programs through feedback and assessment, and making necessary improvements for high-quality learning experiences. - Mentoring and coaching junior trainers and team members to cultivate a knowledgeable and skilled training team. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Minimum of 5 years of experience in AI, machine learning, and deep learning, with a focus on Azure AI, Azure OpenAI, and related technologies. - Strong expertise in Open-Source large language models (LLMs), Generative AI, and applied Generative AI technologies. - Proficiency in using Azure services and tools, such as Azure Machine Learning, Azure AI Services, and Azure OpenAI. - Hands-on experience with Python/C#, APIs, Notebooks, popular IDEs, and Frameworks like TensorFlow/PyTorch. - Excellent presentation and communication skills to articulate complex concepts clearly and succinctly. - Experience in designing and delivering technical training programs, both in-person and virtually. - Strong problem-solving abilities and the capacity to offer practical solutions to technical challenges. - Passion for teaching and knowledge sharing, coupled with a dedication to continuous learning and professional development. Preferred Qualifications: - Knowledge of multiple Hyper-scalers like Azure, AWS, or GCP. - Certifications in Azure AI, Azure Machine Learning, or related areas. - Experience in developing AI and ML applications using Python, TensorFlow, PyTorch, or similar frameworks. - Understanding of AI ethics, responsible AI practices, and regulatory considerations in AI deployment. - Familiarity with DevOps practices and tools for AI and ML projects. Key Personal Attributes: - Strategic and process-oriented thinking. - Excellent communication and interpersonal skills. - A relentless learner with a passion for new technologies. - Self-motivated with a keenness to introduce new ideas for training and development. - Attitude of taking proprietorship of tasks.,

Careers Head of AI (Associate) Location:Bengaluru, India Salary:Competitive Contract:Permanent Hours:Full-time About The Role The Head of AI Strategy and Integration will define and lead QCICs global AI transformation agenda. This senior, cross-functional role is responsible for setting our strategic direction on GenAI, Intelligent automation and data-powered operations. You will guide the implementation of AI solutions across the business, delivering meaningful process improvements, with an keen eye on AI governance. What You Will Do Lead the design development and deployment of AI powered business workflows using the latest LLMs, agents and intelligent automation tools Guide AI governance, ethical use, and standardisation across all AI-enabled solutions Support business units by training staff and promoting the effective use of AI tools in daily operations. Stay current on the latest AI developments (releases, tooling, methodologies) and recommend relevant applications that could in improve all areas of the business. Supervise, mentor, and support a small but growing AI engineering team, fostering a culture of collaboration, innovation and driving improvements across the business. Engage in hands-on development as required, building prototypes and working solutions for internal stakeholders Work alongside our Power Platform team to enhance advance model-driven app solutions and Business Reporting using AI capabilities Contribute to long-term planning, vendor evaluations, and strategy for scalable and secure AI adoption Match the business needs with Industry standards on governance like ISO 27001 to allow the business to remain compliant. Collaborate with global colleagues across time zones, some flexibility will be required What We Are Looking For Deep understanding of generative AI, LLMs and agent frameworks. Track record in designing, building and deploying AI-enabled workflows and solutions. Hands on experience developing workflows and using Microsofts Power Platform. Experience of implementing AI solutions with the ISO 27001 is desirable (not audit level). Experience designing and implementing AI solutions with CRM Systems is desirable. Demonstrated ability to lead, inspire and mentor technical teams. Strong written and verbal communication skills, able to present AI capabilities to both technical and non-technical audiences. Comfortable working in a fast-paced, evolving technical environment Practical experience with up to date tools and platforms e.g. Microsoft Copilot, Open AI etc Experience Very strong organisational skills 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions Leadership or team lead experience, particularly within AI Innovation Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps and Cloud-native data engineering Experience working across departments and coaching non-technical stakeholders Experience with Azure OpenAI studio or Similar enterprise AI environments Exposure to model-driven apps and Dataverse integration Working knowledge Microsoft Power platform suites Experience contributing to AI/ML strategy at an organisational level Awareness of AI safety, compliance and ethical frameworks PowerShell scripting, SQL Query creations. Power platform workflow creation User rollout of cloud based IT solutions Knowledge And Skills Keen attention to detail A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy The ability to lead AI automation projects and work within project scopes Ability to juggle different tasks effectively Ability to lead a team and provide mentorship The ability to understand how users learn and adapt to technology Flexibility with working hours due to the nature of the role Strong written and verbal communication skills are a must NB: The successful candidate will be required to pass our security screening procedures. Show more Show less

You will be working as an AI Platform Engineer in Bangalore as part of the GenAI COE Team. Your key responsibilities will involve developing and promoting scalable AI platforms for customer-facing applications. It will be essential to evangelize the platform with customers and internal stakeholders, ensuring scalability, reliability, and performance to meet business needs. Your role will also entail designing machine learning pipelines for experiment management, model management, feature management, and model retraining. Implementing A/B testing of models and designing APIs for model inferencing at scale will be crucial. You should have proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. As an AI Platform Engineer, you will serve as a subject matter expert in LLM serving paradigms, with in-depth knowledge of GPU architectures. Expertise in distributed training and serving of large language models, along with proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM, will be required. Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results will be part of your responsibilities. Reducing training and resource requirements for fine-tuning LLM and LVM models will also be essential. Having extensive knowledge of different LLM models and providing insights on their applicability based on use cases is crucial. You should have proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. Your proficiency in DevOps and LLMOps practices, along with knowledge of Kubernetes, Docker, and container orchestration, will be necessary. A deep understanding of LLM orchestration frameworks such as Flowise, Langflow, and Langgraph is also required. In terms of skills, you should be familiar with LLM models like Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, and Llama, as well as LLM Ops tools like ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, and Azure AI. Additionally, knowledge of databases/data warehouse systems like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, and Google BigQuery, as well as cloud platforms such as AWS, Azure, and GCP, is essential. Proficiency in DevOps tools like Kubernetes, Docker, FluentD, Kibana, Grafana, and Prometheus, along with cloud certifications like AWS Professional Solution Architect and Azure Solutions Architect Expert, will be beneficial. Strong programming skills in Python, SQL, and Javascript are required for this full-time role, with an in-person work location.,

4+ years of experience as a Data Scientist. Hands-on experience with Azure AI services and tools. Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), data insights, reasoning agents, and chain of thought reasoning. Knowledge of Graph Databases such as Cosmos DB, Neo4j, and other graph data management systems. Expertise in prompt engineering to optimize AI model interactions. Experience in API development and integration. Domain expertise in Finance and Data Management. Proven track record working on enterprise AI use cases, including at least one successful go-live solution.

Job Title : Azure AI & Power Platform Engineer Location : Bangalore (Hybrid Working ) Experience : 5+ years About the Role: We are specifically looking for someone with deep, hands-on experience across a broad range of Azure servicesincluding Azure DevOps, App Services, Azure AI Search and Azure Databricks. In addition, the ideal candidate should have strong expertise in Microsoft Power Platform, particularly Power Apps and Power Automate , as well as experience working with Copilot and Foundry . Familiarity with Auto-Gen Frameworks for building intelligent agents is also a key requirement. Skillset & Technologies: AI/ML solution development and deployment UI/UX/Front-end development for AI/ML solutions AI/ML model development (NLP, Computer Vision, Generative AI) Code optimization, database design, reusable module creation Agile methodology, change management, and issue resolution Programming & Libraries Python TensorFlow, Keras, PyTorch, Scikit-learn, SpaCy, Transformers (Hugging Face), OpenCV Cloud & AI Services Azure Cognitive Services (Language, Vision, Speech) Azure Machine Learning Azure OpenAI models Microsoft Copilot services Other Technologies SQL & NoSQL databases SOAP/REST APIs Data pipelines, feature engineering, data transformation Soft Skills Agile mindset, team player Strong communication Ability to mentor and train others

Prompt Engineer We are looking for a Prompt Engineer to join our delivery team and take ownership of prompt design, optimization, and context structuring in out Agentic AI Projects. You will work closely with data engineers, frontend/backend developers, and domain SMEs to ensure the AI produces accurate, relevant, and useful outputs in response to financial queries. Key Responsibilities: Design, develop, and iteratively improve prompts for financial query handling, chart generation, and narrative explanation. Structure context for LLM calls using metadata, schema details, cube hierarchies, and user query history. Optimize prompt formats for different use cases: summaries, comparative analysis, simulations, and forecast scenarios. Collaborate with SMEs to translate business questions into structured prompt frameworks and test sets. Build and test prompt pipelines using RAG techniques with financial datasets and document sources. Monitor LLM outputs for accuracy, completeness, and business alignment; propose corrections and enhancements. Work with the development team to integrate prompt logic into API endpoints and UI workflows.. Requirements: 2+ years of experience in prompt engineering, NLP, or working with LLMs (e.g., GPT-4, Azure OpenAI). Strong understanding of prompt composition strategies (system prompts, few-shot, chain-of-thought, etc.). Experience working with financial or business data (KPIs, variance reports, financial statements, etc.). Familiarity with tools like LangChain, Azure AI Foundry, or custom RAG implementations. Comfortable reading data schemas (Power BI datasets, OLAP cubes) and using them to craft contextual prompts. Basic knowledge of Python, JSON, and APIs. Excellent communication skills and attention to detail. Ability to collaborate cross-functionally with engineers and finance SMEs. Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow Location: Bangalore

As a ServiceNow AI Developer/Consultant, you will be responsible for designing and implementing intelligent workflows and AI-powered features on the ServiceNow platform. Your role will involve leveraging your expertise in ServiceNow development along with a solid understanding of AI/ML technologies like predictive intelligence, Virtual Agent, and Natural Language Understanding (NLU). Your key responsibilities will include designing and implementing AI features such as Virtual Agent, Predictive Intelligence, and NLU within the ServiceNow environment. You will also be tasked with configuring and customizing ServiceNow modules such as ITSM, CSM, HRSD, or FSM with AI-driven enhancements and integrating external AI platforms like OpenAI or Azure AI for advanced use cases. Collaboration with stakeholders to identify opportunities for AI automation and efficiency improvements will be a crucial aspect of your role. Setting up and fine-tuning Now Assist and related capabilities within the ServiceNow ecosystem, developing Virtual Agent topics and decision trees, and implementing predictive models using ServiceNow's Predictive Intelligence are among the key tasks that you will handle. Moreover, you will create, manage, and test custom ML solutions within ServiceNow Studio or via APIs, ensuring high-quality documentation, test coverage, and governance of AI models and features. It will be essential for you to stay abreast of the latest trends in ServiceNow and AI, keeping up with new releases and best practices in the field.,

Greetings from SwaaS Role : Collaboration AI - Product Owner Location : Chennai, Mode : Work from Office JD: Key Responsibilities Act as the product owner for Microsoft Copilot, Copilot Studio, and related AI collaboration tools. Proven experience with Microsoft 365 Copilot, Copilot Studio, and Azure AI services. Lead governance efforts, including evaluating monthly feature releases, determining enablement or disablement strategies, and communicating changes to the business. Partner with business units to identify use cases, gather requirements, and guide the creation of Copilot Studio agents or escalation to Azure AI when appropriate. Provide strategic guidance on when to use SharePoint Copilot versus Copilot Studio or Azure AI, ensuring the right tool is used for the right scenario. Monitor usage metrics to track adoption, identify underutilized licenses, and implement license reclamation strategies. Enable and support business users in agent creation, offering best practices and hands-on support for Copilot Studio development. Stay current on Microsofts AI roadmap and proactively assess opportunities to enhance digital workplace productivity. Collaborate with IT, security, and compliance teams to ensure responsible AI usage and alignment with enterprise policies. Interested candidates please share your CV to deepa@swaas.net

Title : Technical Lead Overall Years of Experience : 8 to 10 years Relevant Years of Experience : 8+ Technical Lead : We are looking for a Technical Specialist in Microsoft Power Platform and Microsoft technologies with experience in Copilot Studio, Azure AI Studio/AI Foundry, and Microsoft Azure. The ideal candidate should have an exploratory mindset and continuously work on new technology updates in Power Platform and Microsoft AI services. Position Summary : 8+ years of experience in a similar profile with strong service delivery background. Experience in design and development of business applications in web technologies. Design and development of applications using Microsoft Power Platform technologies. Explore new features in Power Platform Copilot Studio, Copilot Agents, and come up with solution approaches. Define and develop proof of concepts with the latest features in Power Platform Copilot ecosystem. Good knowledge on infrastructure architecture, including cloud solutions. Plan and implement version control of source control (GitHub, Azure repo, etc.). Define and implement best practices for software development. Excellent computer skills proficient in Excel, PowerPoint, Word, and Outlook. Excellent interpersonal skills and a collaborative management style. Own and delegate responsibilities effectively. Ability to analyze and suggest solutions. Strong command of verbal and written English language. Understand design methods, tools, major phases, checkpoints, and deliverables in the application and software development lifecycle. Participate in application and software design and development under supervision; write code to implement software/application components. Create and maintain updated documentation. Roles and Responsibilities : Essential : Design and development of applications using Microsoft technologies. Design and development of applications using Microsoft Power Platform technologies. Good understanding of architecture patterns in application development. Experience in ASP.NET, AngularJS, React, TypeScript, jQuery, CSS, HTML5, Bootstrap, JSON, XML. Strong knowledge and experience in developing APIs using REST protocol. Experience in designing Power Platform-based solutions using Dataverse, Copilot Studio. Exposure to conversational intelligence bot development using Copilot. Experience in developing Copilot Agents. Work with business analysts/consultants and other necessary teams to create a strong solution. Should have in-depth understanding and experience of database technologies like SQL Server, Cosmos DB, etc. Define unit test cases based on user scenarios and test them. Should have expertise in creating solution design documentation. Should be able to train and build a team of technical developers. Desired to have knowledge on any of the cloud solutions such as Azure or AWS. Should be able to build a strong relationship with project stakeholders. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Qualifications: 3.5+ years of hands-on experience in developing applications using Azure services. Experience with Azure Function Apps, Web Apps, and Logic Apps. Proficiency in using Azure AI resources, including but not limited to Azure Cognitive Services. Good understanding of Azure storage services such as Blob Storage, Cosmos DB, and Azure SQL Database. Ability to evaluate and select appropriate Azure services and tools based on project requirements. Strong proficiency in Python programming. Knowledge of text analytics and natural language processing (NLP) techniques. Experience with CI/CD pipelines and tools such as Azure DevOps. Ability to design and implement scalable and efficient cloud-based applications. Strong understanding of cloud architecture and best practices for application development. Experience in developing and deploying applications in production environments. Knowledge of RESTful API design and development. Experience in implementing solutions using Generative AI (GenAI) technologies. Proficiency in using GenAI frameworks and tools such as GPT-3, GPT-4, and other large language models. Ability to integrate GenAI models into Azure-based applications. Knowledge of prompt engineering and fine-tuning GenAI models for specific use cases. Ability to identify and assess the business potential of Azure services and cloud technologies. Ability to interpret and communicate complex technical concepts to stakeholders. Strong appetite for continuous learning and exploration of new technologies and business use cases. Ability to think creatively and apply innovative approaches to solve complex problems. Capable of working independently with minimal supervision while maintaining a high level of initiative and drive. A strong desire to produce quality work, adopt standards, and adhere to those standards. Must be able to think & innovate out of the box. Provide input to assist with continual improvement. Regularly discuss current workload, issues, concerns, etc. Challenge team members to broaden their thinking about the environment and applications. Ensure all work adheres to best practices. Standards & Documentation: Accountable for the creation of key standards and documents. Ensure documentation, processes, and standards are maintained or created for the delivered projects. Experience: 3.5 to 4.5 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Technical Skills: Proficiency in using Azure AI resources, including Azure Cognitive Services. Experience with Azure Function Apps, Web Apps, and Logic Apps. Experience with Azure Storage solutions such as Blob Storage and Cosmos DB. Knowledge of Azure DevOps for CI/CD pipeline implementation. Proficiency in Python for developing and integrating Azure services. Experience with text analytics and Natural Language Processing (NLP) using Azure services. Proficiency in handling structured and unstructured data. Ability to integrate data from multiple sources and formats into Azure-based applications. Experience with Generative AI (GenAI) and its integration into Azure applications. Demonstrated ability to develop and deploy applications using various Azure services. Knowledge of API management and development using Azure API Management. Experience with Azure Key Vault for managing secrets and certificates. Understanding of Azure security best practices and compliance requirements. Excellent troubleshooting and analytical skills for diagnosing and resolving issues in Azure environments. Ability to manage and support multiple priorities in a fast-paced environment. Strong communication skills to present technical solutions to stakeholders. Ability to share consistent updates on project risks and develop risk mitigation plans. Interest in staying updated with new Azure technologies and solving complex problems. Awareness of the complete software development lifecycle, including analysis, design, configuration, development, and unit testing. Experience with monitoring and logging tools like Azure Monitor and Application Insights.

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

Are you passionate about application development and excited by the opportunity to shape the future of software engineering with AI Join Microsoft as a Software Solution Engineer Cloud & AI, where you'll help enterprise developers solve complex challenges and build the next generation of intelligent applications. Microsoft is transforming the developer experience by embedding AI across the software development lifecycle. With GitHub and Visual Studio trusted by over 100 million developers globally at the core, and seamless integration with Azure AI, we're leading the way in Agentic DevOps, where AI agents streamline development and operations. As a Software Solution Engineer, you'll help customers adopt these innovations to boost productivity, drive innovation, and become AI-native. The Software Solution Engineer (SE) is a technical sales role focused on helping enterprise developers understand the value of Microsoft's AI-powered developer stack across every stage of the software development lifecycle. You'll work directly with engineering leaders and platform teams to accelerate Foundry through hands-on engagements like Proof of Concepts, hackathons, code-with sessions, and architecture workshops. As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI integration into their development workflows. Whether enabling DevSecOps at a global bank or scaling GitHub Copilot across thousands of engineers, you'll help customers modernize their SDLC and realize the full value of Microsoft's developer platform. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities - Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. - Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsoft's developer tools and cloud platforms. - Build trusted relationships with co-designing secure, scalable architectures and solutions. - Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. - Maintain deep expertise in GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices). - Represent Microsoft through thought leadership in developer communities and customer forums. Qualifications - 5+ years technical pre-sales or technical consulting experience - OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience - OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience - OR equivalent experience - Experience engaging enterprise development teams, including developers, architects, and technical decision makers. - Proficiency in modern languages like JavaScript/TypeScript, Python, C#, or Java, and frameworks such as .NET, Node.js, or React. - Hands-on expertise with GitHub, Visual Studio Code, CI/CD, DevOps, and platform engineering (e.g., observability, security, performance). - Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. - 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience - OR equivalent experience - 4+ years experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management. - Experience with cloud-native development: APIs, containers, microservices, event-driven design. - Familiarity with AI-assisted tools (e.g., GitHub Copilot), low-code/pro-code platforms, and Azure AI. - Ability to shape technical strategy through thought leadership and community engagement. - Experience aligning technical solutions with business goals in collaboration with sales and partners.,

Job Title : .Net Gen AI Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 5+ Years Required skills - Experience in .Net Gen AI Experience in Gen AI Tools any one Experience in .Net COre Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location-

Job Summary: We are looking for a visionary Senior AVP - Generative AI Lead to spearhead our Generative AI initiatives. In this senior leadership role, you will design and execute cutting-edge AI strategies leveraging generative models to drive innovation, optimize business processes, and create new AI-driven products. You will lead a cross-functional team of AI researchers, engineers, and data scientists to develop scalable generative AI solutions that align with organizational goals. Key Responsibilities: Lead the development and deployment of generative AI models (e.g., GPT, diffusion models, transformers) across various business units. Define the AI strategy focusing on generative models to enhance product offerings, customer experience, and operational efficiency. Collaborate with business leaders and technology teams to identify high-impact use cases and translate them into AI solutions. Oversee research and experimentation to stay ahead of advancements in generative AI and related technologies. Manage, mentor, and grow a high-performing team of AI specialists, fostering innovation and technical excellence. Ensure ethical AI practices, data privacy, and compliance in all generative AI projects. Drive AI infrastructure development and integration with existing technology platforms. Present technical insights and strategic recommendations to C-suite executives and stakeholders. Build partnerships with external AI vendors, academic institutions, and industry consortia. Qualifications: Master's or PhD in Computer Science, AI, Machine Learning, or related technical field. 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies. Proven track record in leading AI teams and delivering large-scale generative AI projects. Deep knowledge of generative AI architectures such as transformers, GANs, VAEs, diffusion models, etc. Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. Experience with cloud AI services (AWS Sagemaker, Azure AI, Google AI) and scalable deployment. Strong business acumen and ability to translate AI capabilities into measurable business outcomes. Excellent leadership, communication, and stakeholder management skills. Understanding of AI ethics, fairness, and regulatory considerations. Preferred Skills: Experience in NLP, computer vision, or multimodal generative models. Familiarity with large language models (LLMs) like GPT-4, PaLM, or similar. Background in product innovation or AI-driven transformation initiatives. Exposure to Agile and DevOps practices for AI/ML workflows.

A career at Conga is more than just a job - it's a complete package! At Conga, we have fostered a community where our colleagues can flourish. Here, you will have the chance to innovate, receive support for your growth through both individual and team development, and work in an environment where every voice is valued and heard. Conga specializes in simplifying complexity within an ever-evolving world. Our revenue lifecycle management solution is designed to streamline order configuration, execution, fulfillment, and contract renewal processes by utilizing a single critical insights data model that adapts to changing business requirements and aligns the efforts of all teams. Our mission at Conga is to empower customers to achieve transformational revenue growth by harmonizing teams, processes, and technology to maximize customer lifetime value. The Software Architect role at Conga is a pivotal position within the Platform and AI Services team. This team is dedicated to building and innovating foundational services, components, and frameworks essential for the SaaS Revenue Lifecycle Management platform powered by AI. As an AI Architect at Conga, you will play a key role in developing AI capabilities for the Conga Revenue Lifecycle Platform, catering to customer needs and expanding your own skill set. Your responsibilities will involve building and supporting high-scale production code in a multi-tenant SaaS environment. One of the key aspects of this role is to contribute to the architecture and development of core AI services for the Revenue Lifecycle Platform. As an AI Architect, you will be involved in designing end-to-end AI solutions, developing data pipelines, models, deployment strategies, and integrating with existing systems. Moreover, you will collaborate with data scientists and software engineers to implement robust, scalable, and efficient AI solutions. Your role will also encompass managing the technical architecture of the AI platform, ensuring scalability, performance, security, and cost efficiency. Additionally, you will actively participate in an agile team lifecycle, including design, development, testing, planning, backlog grooming, and support. To excel in this role, you should possess a Bachelor's degree in Computer Science or a related field, with 10+ years of expertise in areas such as Machine Learning, Pattern Recognition, Natural Language Processing, Information Retrieval, Large Scale Distributed Systems, and Cloud Computing. We are looking for a talented individual who can provide technical leadership, design reusable components and services, stay abreast of the latest advancements in AI, and possess strong communication and interpersonal skills. If you are self-driven, enjoy problem-solving, and are willing to work with a global team, then we encourage you to apply for this exciting opportunity at Conga. If you believe you are the right candidate for this role or have a genuine interest in working in an inclusive and diverse workplace, we invite you to submit your application. Your resume can be in any format, but we recommend using PDF or plain text for easier review by our recruiters. At Conga, we value diversity and inclusivity, so even if you do not meet every qualification listed, we encourage you to apply as you may still be the ideal candidate for this or other roles.,

As the leading provider of professional services to the middle market globally, our purpose at RSM is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our inclusive culture and talent experience, driven by exceptional individuals, make us unique and compelling to our clients. In this environment, you will find inspiration and empowerment to thrive both personally and professionally. At RSM, we value your individuality and recognize that there is no one like you, which is why there is nowhere like RSM. We are currently looking for a highly skilled and innovative Modern Work Engineer with a focus on Artificial Intelligence to join our Modern Work team within the MCI-Infrastructure organization. This role is crucial for implementing and optimizing AI-driven solutions within our organization. **Primary Responsibilities:** - Develop and implement AI-based solutions using Copilot, Copilot Studio, and Azure AI. - Design, develop, and maintain SPFx Web Parts for SharePoint. - Collaborate with cross-functional teams to integrate AI capabilities into existing systems and workflows. - Utilize C#, .NET, and SharePoint to build scalable and efficient applications. - Implement and manage solutions using Power Platform, Microsoft Teams, and Adaptive Cards. - Ensure data integrity and security during content migration initiatives. - Familiarity with third-party workflow tools to migrate workflows to Power Platform. - Stay updated with advancements in AI and related technologies to drive continuous improvement. **Qualifications:** **Required Experience and Skills:** - Minimum of 5 years of professional experience in software development, with a focus on AI technologies for at least 6 months. - Proficiency in Copilot, Copilot Studio, and Azure AI. - Strong knowledge of SPFx Web Parts, C#, .NET, SharePoint, and Power Platform. - Experience with Microsoft Teams, Content Migrations, and Adaptive Cards. - Expertise in SQL Server. - Understanding of third-party workflow tools and task automation. - Strong problem-solving skills and ability to collaborate effectively in a team environment. - Excellent communication skills to convey technical concepts to non-technical stakeholders. - Experience in configuring and customizing Copilot and Syntex. - Knowledge of Graph Connectors and Copilot Studio integrations with LOB systems. **Preferred Skills:** - Experience with AI-driven business applications and solutions. - Knowledge of the latest trends and advancements in Artificial Intelligence. - Certification in relevant Microsoft technologies. **Shift Timing:** 2PM to 11PM IST At RSM, we offer a competitive benefits and compensation package for all our employees. We provide flexibility in your schedule, allowing you to balance life's demands while serving our clients. To learn more about our total rewards, visit [RSM India Careers](https://rsmus.com/careers/india.html). If you require accommodation due to a disability during the recruitment process or employment/partnership, please reach out to us at careers@rsmus.com. RSM is dedicated to providing equal opportunities and reasonable accommodations for individuals with disabilities.,

Years of experience : 5- 8 years Required Skills: Python Environments and Frameworks APIs & Call Stacks (REST API) QMS system Messaging Service Stack AI/ML experience (ML/Deep learning frameworks, environments, platforms, and libraries) Azure (services) Stack Azure Data Lake SQL Servers and databases Jitterbit Desired Skills: Microsoft Azure AI Document Intelligence Microsoft Azure AI Foundry

As a CoPilot Architect, you will be responsible for leading the design and delivery of enterprise-grade conversational AI solutions utilizing Microsoft CoPilot Studio, Azure AI, and the Power Platform. Your role will involve leveraging Microsoft's intelligent automation capabilities, data integration practices, and secure application lifecycle management to empower global organizations in redefining business performance through intelligent assistants, low-code platforms, and AI-driven experiences. Your main responsibilities will include: - Leading the solution architecture and implementation of intelligent assistants using Microsoft CoPilot Studio - Building conversational flows, adaptive cards, triggers, and skills using Power Virtual Agents and Power FX - Integrating CoPilot solutions with internal systems such as Dataverse, SharePoint Search, Azure AI Search, and third-party APIs - Configuring and managing Azure AI Foundry environments for orchestration and LLM integration - Enabling secure and scalable deployments across Microsoft Teams, Web, and Mobile interfaces - Working closely with business and product stakeholders to translate use cases into automation pipelines - Ensuring governance, data privacy, and compliance requirements are met throughout the project lifecycle - Establishing robust ALM processes, including version control, testing, and deployment - Supporting enterprise workflow automation initiatives using Power Automate and Power Apps - Mentoring cross-functional teams in applying conversational AI best practices Required Skills & Experience: - Proven experience with Microsoft CoPilot Studio or Power Virtual Agents (advanced level) - Strong development experience with Power FX, Power Automate, and PowerApps - Expertise in Dataverse, SharePoint Online, and enterprise search integration - Solid understanding of Azure AI Foundry, Cognitive Services, and AI Search - Experience designing bots with adaptive logic, custom skills, and multichannel support - Proficiency in deploying secure, governed solutions within Microsoft cloud environments - Familiarity with conversational AI patterns, fallback logic, and dynamic content rendering - Hands-on experience with solution lifecycle management (ALM), CI/CD, and environment governance Preferred Qualifications: - Exposure to OpenAI integrations in the Microsoft cloud stack - Understanding of CoPilot extensibility (custom APIs, plug-ins, skill composition) - Relevant Microsoft certifications such as: PL-600: Power Platform Solution Architect, PL-400: Developer, AI-102: Azure AI Engineer What You'll Gain: - Opportunity to architect next-generation AI solutions for global enterprises - Collaborative environment working with certified Microsoft technology experts - Exposure to cutting-edge use cases in automation, AI, and digital transformation - A culture focused on learning, precision, and innovation at scale If you are passionate about building scalable AI architectures that drive impact and possess the required skills and experience, we look forward to meeting you. Our compensation offering will be commensurate with your skills and experience, and not a negotiation on your current CTC.,

What You ll Bring Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 8+ years of experience in software development with a strong focus on C# and .NET frameworks. Proven experience in building web applications using React and related technologies (e.g., Redux, React Router). Strong understanding of RESTful APIs, microservices architecture, and cloud technologies (e.g., Azure, AWS). Experience with database technologies,both SQL (e.g., SQL Server) and NoSQL (e.g., MongoDB) and ORM frameworks (e.g., Entity Framework). Proven experience in product-based companies, delivering scalable and customer-centric solutions. Experience with Elasticsearch, including knowledge of data modeling, querying, and performance optimization. Familiarity with Agile development methodologies and tools (e.g., Scrum, Jira). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Nice to have: Exposure to Azure AI Services and prompt engineering, particularly with GPT-4. Knowledge of custom training techniques for AI models is a plus.