Company Description MomentText is a team of visionary engineers and designers committed to producing smart and ingenious solutions that defy conventional norms. By continually experimenting with novel technologies and techniques, we ensure that we remain at the forefront of our field. We prioritize critical thinking and foster an environment where our team members challenge assumptions and innovate beyond established boundaries. Our ultimate goal is to find innovative ways to enhance and revolutionize traditional industries. Role Description 📍 Location: Bangalore, India 🤝 Client: UK-based Wealth Management Firm 💼 Experience: 5–8 years About the Role We’re looking for a passionate Quality Engineer (Automation Testing) to join our dynamic QA team working with a leading UK wealth management client. If you’re someone who thrives on building robust test automation frameworks, collaborating in Agile teams, and ensuring world-class product quality — this role is for you. What You’ll Do Build and maintain C# automation frameworks using Visual Studio and Playwright. Implement BDD testing with SpecFlow/ReqNroll. Drive shift-left automation and integrate testing into CI/CD pipelines. Perform API and integration testing using Postman. Balance automation and manual testing through risk-based test strategies . Participate actively in Agile ceremonies and collaborate with developers, DevOps, and BAs. Ensure test scalability and maintainability with modular, reusable code. What You’ll Bring 5–8 years of hands-on QA experience in automation and test strategy. Strong coding skills in C# with Visual Studio . Experience with Playwright , SpecFlow/ReqNroll , JIRA , and Confluence . Proficiency in CI/CD pipelines and API testing . Excellent communication, analytical, and collaboration skills. Nice to Have Exposure to Performance/Load Testing (JMeter, Gatling, or LoadRunner). Familiarity with cloud-based testing and test data management. Why You’ll Love Working Here Be part of a greenfield automation project with cutting-edge tools. Work directly with a global financial client driving digital transformation. Join a collaborative culture that values innovation, ownership, and excellence .
Company Description MomentText is a team of visionary engineers and designers committed to producing smart and ingenious solutions that defy conventional norms. By continually experimenting with novel technologies and techniques, we ensure that we remain at the forefront of our field. We prioritize critical thinking and foster an environment where our team members challenge assumptions and innovate beyond established boundaries. Our ultimate goal is to find innovative ways to enhance and revolutionize traditional industries. Position Summary The Principal Azure Agentic AI Engineer is responsible for architecting and deploying agentic AI solutions using Microsoft’s Azure ecosystem, including Azure AI Foundry, Semantic Kernel, and the Azure OpenAI Service. This role builds intelligent, context-aware agents that integrate across enterprise systems, enabling reasoning, orchestration, and automation at scale. The ideal candidate combines deep technical expertise in Azure AI infrastructure with a strong understanding of multi-agent orchestration, contextual retrieval, and Copilot-style integrations for enterprise productivity and decision support. Key Responsibilities ▪ Architect multi-agent AI systems leveraging Azure OpenAI, Semantic Kernel, and vectorbased memory orchestration. ▪ Design intelligent agent frameworks capable of reasoning, planning, and tool execution across enterprise workflows. ▪Define and implement task graphs, context management strategies, and chain-ofthought persistence for agent collaboration. ▪ Configure and optimize Azure AI Foundry environments for scalable model deployment, experimentation, and governance. ▪ Integrate LLMs with Azure Cognitive Search, Data Lake, and vector retrieval layers to support context-grounded reasoning. ▪ Build connectors between agentic services and enterprise systems such as Dynamics, Power Platform, and SharePoint. ▪ Develop custom skills and functions within Semantic Kernel to extend LLM capabilities with deterministic logic and API calls. ▪ Manage orchestration pipelines for hybrid reasoning and cross-agent task routing. ▪ Implement context chaining and skill composition for reusable, modular agent behaviors. ▪ Integrate agentic systems into Microsoft 365 and enterprise workflows through Copilot extensions, Graph Connectors, and plugins. ▪ Collaborate with UX teams to design AI-assisted workflows and conversational interfaces. ▪ Ensure seamless handoff between human users and agentic systems for review, validation, and escalation. ▪ Apply Azure AI safety, compliance, and access management standards including RBAC, Managed Identity, and Conditional Access. ▪ Monitor agentic system performance, telemetry, and cost optimization across distributed deployments. ▪ Implement auditing, observability, and responsible AI guardrails aligned with enterprise governance frameworks. Qualifications Required ▪ Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related technical field. ▪ Seven or more years of experience in software engineering, AI systems integration, or cloud architecture. ▪ Hands-on experience with CoPilot Studio, Azure OpenAI Service, Azure AI Foundry, and Semantic Kernel. ▪ Proven expertise in LLM orchestration, vector-based retrieval, and multi-agent design. ▪ Proficiency in Python, C#, and RESTful API development for Azure functions and microservices. ▪ Strong understanding of Azure Cognitive Search, Data Factory, and Event Grid architectures. Preferred ▪ Experience building Copilot extensions or plugins for Microsoft 365 or Dynamics 365. ▪ Familiarity with LangChain, AutoGen, or other agentic orchestration frameworks. ▪ Knowledge of MLOps, CI/CD, and Azure DevOps pipelines for AI deployment. ▪ Background in knowledge management systems, RAG architectures, or enterprise copilots. ▪ Microsoft Certified: Azure Solutions Architect Expert or Azure AI Engineer Associate. Core Competencies ▪ Deep expertise in Azure’s AI and agentic services ecosystem. ▪ Strong architectural and system design skills for large-scale AI deployments. ▪ Ability to bridge LLM reasoning with enterprise tools and data. ▪ Commitment to responsible AI, data governance, and secure model operations. ▪ Proven ability to translate business processes into intelligent, autonomous workflows.
Company Description MomentText is a team of visionary engineers and designers committed to producing smart and ingenious solutions that defy conventional norms. By continually experimenting with novel technologies and techniques, we ensure that we remain at the forefront of our field. We prioritize critical thinking and foster an environment where our team members challenge assumptions and innovate beyond established boundaries. Our ultimate goal is to find innovative ways to enhance and revolutionize traditional industries. Position Summary We are on the lookout for candidates with expertise in Governance, Risk, and Compliance (GRC) to fulfill strategic objectives in IT Risk Management and compliance service requirements as well as fulfilling our AI Risk management and compliance requirements : 1. AI Risk Management: Candidates should be proficient in managing risks associated with artificial intelligence, ensuring that our AI initiatives are secure and compliant. 2. Execution of Strategic IT Risk Management and Compliance Objectives: We need individuals who can effectively execute our strategic goals in IT risk management and compliance, driving our initiatives forward with precision and dedication. 3. IT Risk Monitoring and Reporting: The ability to monitor and report on IT risks is crucial. We are looking for candidates who can maintain a vigilant eye on potential risks and communicate their findings clearly and effectively. 4. IT Risks Identification (e.g., Datalake Use Case Development): Identifying IT risks, particularly in the context of developing use cases for our Datalake, is another key requirement. We need individuals who can foresee potential issues and develop strategies to mitigate them. 5. IT Self-Assessment Toolkit Development: Candidates should have experience in developing self-assessment toolkits for IT risk management, enabling our team to proactively identify and address risks. 6. IT Risk Quantification: The ability to quantify IT risks is essential. We are looking for candidates who can measure and analyze risks, providing us with the data we need to make informed decisions. It's 1yr contract and renewable He/She will deployed in UAE, Abu Dhabi Oil and gas industry
Company Description MomentText is a team of visionary engineers and designers committed to producing smart and ingenious solutions that defy conventional norms. By continually experimenting with novel technologies and techniques, we ensure that we remain at the forefront of our field. We prioritize critical thinking and foster an environment where our team members challenge assumptions and innovate beyond established boundaries. Our ultimate goal is to find innovative ways to enhance and revolutionize traditional industries. Position Summary We are on the lookout for candidates with expertise in Governance, Risk, and Compliance (GRC) to fulfill strategic objectives in IT Risk Management and compliance service requirements as well as fulfilling our AI Risk management and compliance requirements : 1. AI Risk Management: Candidates should be proficient in managing risks associated with artificial intelligence, ensuring that our AI initiatives are secure and compliant. 2. Execution of Strategic IT Risk Management and Compliance Objectives: We need individuals who can effectively execute our strategic goals in IT risk management and compliance, driving our initiatives forward with precision and dedication. 3. IT Risk Monitoring and Reporting: The ability to monitor and report on IT risks is crucial. We are looking for candidates who can maintain a vigilant eye on potential risks and communicate their findings clearly and effectively. 4. IT Risks Identification (e.g., Datalake Use Case Development): Identifying IT risks, particularly in the context of developing use cases for our Datalake, is another key requirement. We need individuals who can foresee potential issues and develop strategies to mitigate them. 5. IT Self-Assessment Toolkit Development: Candidates should have experience in developing self-assessment toolkits for IT risk management, enabling our team to proactively identify and address risks. 6. IT Risk Quantification: The ability to quantify IT risks is essential. We are looking for candidates who can measure and analyze risks, providing us with the data we need to make informed decisions. It's 1yr contract and renewable He/She will deployed in UAE, Abu Dhabi Oil and gas industry
Company Description MomentText is a team of visionary engineers and designers committed to producing smart and ingenious solutions that defy conventional norms. By continually experimenting with novel technologies and techniques, we ensure that we remain at the forefront of our field. We prioritize critical thinking and foster an environment where our team members challenge assumptions and innovate beyond established boundaries. Our ultimate goal is to find innovative ways to enhance and revolutionize traditional industries. Role Overview As an AI Architect , you will design, prototype, and implement advanced AI and Generative AI solutions that power digital transformation. You will bridge the gap between strategy and execution defining the technical architecture for scalable, secure, and ethical AI systems. You'll work closely with Data Scientists, AI/ML Engineers, Software Developers, and Government SMEs to deliver state-of-the-art AI solutions that benefit citizens, residents, and visitors alike. Key Responsibilities Lead the architecture and design of complex AI systems with a strong focus on Generative AI (LLMs, Diffusion Models, GANs). Define end-to-end AI solution architectures ensuring scalability, reliability, and integration with existing government systems. Champion and implement GenAI frameworks such as LangChain, LlamaIndex, LangSmith, LangFlow, and LangGraph for rapid prototyping and deployment. Architect and supervise data pipelines for training, fine-tuning, and evaluating GenAI models on sensitive and large-scale datasets. Drive MLOps & AIOps best practices for production-grade deployment using tools like Kubeflow, MLflow, and Airflow. Select and integrate diverse data technologies relational (PostgreSQL), vector databases (Milvus) , and graph databases (Neo4j) for advanced semantic and RAG-based AI use cases. Collaborate cross-functionally to define business problems and translate them into scalable AI architectures. Stay up to date with the latest in Generative AI research and tooling , recommending improvements to enhance the Factory's AI stack. Ensure compliance with AI ethics, transparency, and regulatory frameworks while implementing responsible AI safeguards. Prepare clear architectural documentation and present solutions to technical and executive audiences. Qualifications Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence , or a related field. 5+ years of experience as a Solution Architect / Technical Architect with a focus on AI/ML and Generative AI . Deep hands-on expertise in designing and implementing solutions using LLMs, Diffusion Models, or GANs. Proficiency in Python and GenAI toolkits: LangChain, LlamaIndex, LangGraph, LangFlow, LangSmith. Strong background in MLOps , containerization (Docker/Kubernetes), and deployment orchestration (Kubeflow, MLflow, Airflow). Experience architecting data workflows for large and complex datasets (preferably Azure or equivalent cloud). In-depth knowledge of vector, graph, and relational databases (e.g., Milvus, Neo4j, PostgreSQL). Excellent problem-solving and communication skills ability to translate business challenges into AI architectures. Familiarity with distributed training and efficient inference for large-scale GenAI models (especially on-prem GPU systems). Self-driven, innovative, and passionate about continuous learning in AI advancements. Bonus Points Hands-on experience implementing AIOps for GenAI systems in production. Experience in government, smart city, or national-scale digital initiatives . Contributions to open-source AI projects or publications in AI/ML conferences.