56 Azure Ai Jobs

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.

Role & responsibilities Design and deploy scalable AI solutions using Azure AI services Write and integrate Python code for AI models, data ingestion and automation. Work with senior developers and cross-functional teams to implement AI features into current systems and applications. Stay updated with the latest advancements in AI and Azure technologies. Preferred candidate profile Bachelors degree in computer science, Engineering, or a related field. Proficiency in programming languages such as Python or C# 5+ years of experience with AI solutions using Azure AI services Experience with LangChain or Semantic Kernel frameworks Experience with Azure AI Services like AI Search, OpenAI and Document Intelligence Experience with Azure Compute Services such as Azure Functions and Apps Services Experience with API development and integration Strong problem-solving skills and attention to detail

What were looking for: 4+ years of experience in Data Science 12 years of proven work in Machine Learning Minimum 2 years of experience in Deep Learning Proficiency in Python, Linux, and Containers (Docker/K8s) Hands-on with GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers Experience deploying models using Vertex AI or Azure AI Currently contributing to a live project (public GitHub profile preferred) Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like InstructLab. Build and maintain containerized applications with Kubernetes or similar platforms, adapting to OpenShift as needed. Support the development, training, and deployment of AI/ML models, leveraging frameworks like PyTorch or TensorFlow. Assist in implementing MLOps practices for model lifecycle management, with exposure to CI/CD pipelines. Troubleshoot and optimize Linux-based systems to ensure reliable AI performance. Learn and apply Red Hat-specific tools and best practices through on-the-job training and resources. Document workflows and contribute to Reve Clouds team knowledge sharing.

Key Responsibilities: Design and develop intelligent automation workflows integrated with LLM capabilities (e.g., summarization, classification, Q&A) Integrate LLM APIs such as OpenAI, Azure OpenAI , and Google Gemini into UiPath using REST APIs or native connectors Automate document processing leveraging UiPath tools like Document Understanding and AI Center Participate in code reviews, documentation, and development of reusable components for scalable AI/automation solutions Stay current on LLM innovations, tools, and frameworks, and actively contribute to POCs and hands-on experimentation Required Skills & Qualifications: Bachelor's degree in Computer Science , Engineering , Information Technology , or a related field 35 years of experience in automation development , preferably with UiPath Foundational knowledge of LLMs and prompt engineering , with hands-on application in automation Experience integrating with platforms like OpenAI , Azure AI , or Google Cloud AI via APIs Proficiency in Python and ability to embed Python scripts into RPA workflows Exposure to LangChain or a willingness to learn LLM orchestration frameworks Familiarity with unstructured data processing and document understanding concepts Strong communication, collaboration, and continuous learning mindset

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

Location: Hyderabad/Bangalore Department: Advanced Analytics & AI Solutions About the Role We are seeking a highly skilled Senior Data Scientist to lead the end-to-end design, enhancement, and deployment of a machine learning solution that predicts the virality of press articles. This role is part of a high-impact digital media analytics project designed to support brand reputation management by forecasting which headlines are likely to gain rapid traction. The ideal candidate brings deep expertise in natural language processing (NLP), deep learning (especially transformer models like BERT), and hands-on experience with Azure AI services. You will drive the evolution of a proof-of-concept Python model into a scalable, production-grade Azure-based solution integrated with downstream generative AI interfaces. Key Responsibilities Lead the development and optimization of a BERT-based pairwise comparison model for predicting press article virality. Incorporate temporal dynamics into modeling strategy to enhance prediction accuracy over time. Design and implement scalable ML pipelines using Azure AI Hub, Foundry, Blob Storage, and Cosmos DB. Collaborate with architecture and platform teams to ensure smooth lift-and-shift deployment of the solution into client environments. Integrate outputs with Azure OpenAI (GPT-4o) to build conversational interfaces via Microsoft Copilot Studio or Power Apps. Evaluate model performance using robust metrics (accuracy, AUC-ROC, ranking correlation). Manage compute budgets (under $1,000/month) through cost-efficient compute planning and Azure monitoring tools. Work closely with stakeholders to translate business requirements into ML model specifications and insights delivery. Stay up-to-date with advances in NLP, ranking models, and Azure ML ecosystem. Required Skills & Experience 610 years of experience in Data Science or Machine Learning, with a strong focus on NLP or content-based recommendation systems. Deep proficiency in Python, with expertise in transformers, PyTorch/TensorFlow, Hugging Face, and data science libraries (pandas, scikit-learn). Hands-on experience with BERT, pairwise learning, and ranking models. Prior exposure to temporal modeling techniques (e.g., sliding windows, time-based feature engineering). Strong experience with the Azure ecosystem, including: Azure AI Hub and Foundry Azure Machine Learning Azure OpenAI Azure Cosmos DB and Blob Storage Azure Monitor and Application Insights Experience designing or integrating generative AI solutions (e.g., GPT-4, Claude, Gemini). Familiarity with CRISP-DM methodology or other structured data science lifecycles. Preferred Qualifications Experience working with media or digital marketing datasets (clickstream, headlines, user interactions). Knowledge of semantic search or vector databases. Understanding of Copilot/Chatbot development on Microsoft platforms. Experience managing data science projects with budget constraints and deployment pipelines. Published research or prototypes in NLP or content virality modeling is a strong plus.

Job Title : Dot Net Architect Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 11+ Years Required skills - Experience in .Net Architect Experience in .Net Core, Azure Experience in Angular or React Experience in Gen AI Mandatory 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- Pune/ Bangalore

Job Description:Job Role: Azure AI Architect Yrs of Exp : 8+ Years Job Location : Remote Work Model : Remote Mandatory skills:- Azure AI Foundry and Co-Pilot Agent Key Responsibilities: - Lead AI strategy initiatives using Microsoft tech stack - Create and guide development of agentic AI applications - Design agents using AI Co-Foundry and Copilot Studio - Develop architecture for AI initiatives at Pfizer - Create proof of concepts for leadership demonstrations Required Skills: - Deep expertise in Microsoft Azure AI services - Experience with AI Foundry and Copilot Studio - Understanding of agent creation and integration - Knowledge of Microsoft tech ecosystem - Ability to guide team on AI strategy - Strong technical architecture skills Preferred Qualifications: - Background in creating connected AI agents - Experience with data fabric and centralized data sources - Familiarity with access control and active directory integrations - Proactive approach to emerging AI technologies