ResponsibilitiesProcess Discovery & Opportunity Mapping Assist in identifying inefficiencies and friction points across support, implementation, and customer success workflows. Contribute to maintaining a backlog of AI/automation ideas. Rapid Prototyping & Experimentation Support the development of small-scale prototypes (e.g., chatbots, workflow automations, dashboards) using low-code tools, Python, or notebooks. Collaborate with team members to test ideas and validate use cases. Pilot Support & Iteration Help deploy and monitor pilot solutions with internal teams. Collect feedback, track basic usage metrics, and support iteration efforts. Learning & Knowledge Sharing Stay updated on emerging AI tools and trends. Assist in preparing demos, documentation, or internal knowledge-sharing sessions. Documentation & Knowledge Transfer Help create simple documentation, prompt libraries, and reports to support scaling of successful pilots. Cross-Functional Collaboration Work with global teams (Delivery, Support, Customer Success) to understand business needs and support AI initiatives.Qualification & Experience Currently pursuing or recently completed a degree in Engineering, Computer Science, Data Science, Business Analytics, or related field. Basic understanding of AI/ML concepts or automation tools. Familiarity with Python, APIs, JSON, or data handling (academic or project-based). Strong problem-solving and communication skills. Good to Have: Exposure to tools like LangChain, LlamaIndex, OpenAI APIs, or similar frameworks. Coursework or projects related to AI, data analytics, or automation. Understanding of SaaS or customer-facing operations (support, success, etc.). Nice to Have: Personal or academic projects (GitHub, hackathons, etc.) involving AI/chatbots/automation. Participation in AI communities, competitions, or meetups.

ResponsibilitiesAssist in designing, implementing, and maintaining CI/CD pipelines for AI application deployment on AWS infrastructure. Collaborate with AI Development co-ops to automate LLM application deployment and testing workflows. Help monitor and troubleshoot cloud-based AI systems using AWS CloudWatch, CloudTrail, and other monitoring tools. Support containerization efforts using Docker and AWS ECS/EKS for ML applications. Participate in implementing infrastructure-as-code using tools like AWS CloudFormation or Terraform. Qualification & Experience Currently pursuing a degree in Computer Science, Software Engineering, or related technical field. Basic understanding of cloud computing concepts and AWS services (EC2, S3, Lambda). Familiarity with at least one programming language (js preferred). Knowledge of version control systems (Git). Strong problem-solving skills and eagerness to learn new technologies. Preferred qualifications Experience with containerization technologies like Docker. Experience with Azure AI foundry, Google Cloud Platform is a plus Familiarity with CI/CD tools such as GitHub Actions, or AWS CodePipeline. Previous coursework or projects related to DevOps, cloud computing, or machine learning. Nice to have: AWS certifications or training (even in progress).

ResponsibilitiesLead technical assessment of current AI automation infrastructure and identify optimization opportunities Establish relationships with global finance leadership, IT architecture teams, and regional stakeholdersConduct deep-dive analysis of existing SAP, Salesforce, and cloud platform integrations to identify AI enhancement opportunitiesMentor junior developers and establish technical standards for the India AI development teamPresent strategic roadmap for AI-driven financial automation to senior leadershipArchitect and lead development of enterprise-scale AI solutions for financial process automation (P2P, O2C, R2R cycles)Design and implement advanced prompt engineering frameworks for complex financial document processing and analysisLead integration projects connecting AI models with SAP S/4HANA, Salesforce Financial Services Cloud, and multi-cloud environmentsEstablish CI/CD pipelines for AI model deployment with enterprise-grade security, compliance, and monitoringDrive technical decision-making for cloud infrastructure scaling across AWS/Azure/GCP platformsCollaborate with global teams to ensure 24/7 system reliability and performance optimizationQualification & Experience 5+ years of overall IT experience 2+ years of enterprise AI/ML development experience with proven track record of scaling production systems Experience with Familiarity with CI/CD tools such as GitHub Actions, or AWS CodePipeline Expert-level proficiency in Python, JavaScript/TypeScript, cloud-native architectures, and containerization (Docker, Kubernetes) Deep experience with LLM integration, prompt engineering, and AI model optimization for enterprise applications Proven expertise in cloud platforms (AWS, Azure, GCP) with focus on AI/ML services and enterprise integration patterns Strong background in API development, microservices architecture, and enterprise system integrations Enterprise & Finance Domain: Extensive experience with SAP modules (FI/CO, S/4HANA, BTP) and/or Salesforce platform development Deep understanding of financial processes: accounts payable/receivable, financial reporting, budgeting, forecasting Experience with enterprise data governance, financial compliance (SOX, GAAP, IFRS), and audit requirements Knowledge of real-time data processing, ETL pipelines, and financial data warehousingExperience with Indian financial regulations and compliance requirements Background in fintech, banking, or life sciences industry Certifications in cloud platforms ((AWS Solutions Architect, Azure AI Engineer, etc.) Experience with MLOps, model governance, and AI ethics frameworks Knowledge of emerging AI technologies (RAG, fine-tuning, multi-modal AI)

ResponsibilitiesComplete onboarding, gaining familiarity with our enterprise systems and ongoing AI initiatives Provide feedback on your onboarding experience, embodying our value of continuous improvement Build relationships across various departments to understand their unique challenges and AI opportunities Gain a basic understanding of our business operations and how AI can enhance productivityDevelop prototypes and proof-of-concepts for AI-powered features that can boost employee productivity and creativity Contribute to the development of prompt engineering strategies for various business applications Participate in creating AI-driven tools that can be integrated into our existing workflow systems Collaborate on AI model integration projects, ensuring seamless user experiences across different platforms Assist in evaluating and benchmarking AI performance against business KPIs and user satisfaction metrics Present your work and findings to stakeholders, translating complex AI concepts for both technical and non-technical audiences Qualification & Experience Strong interest in enterprise AI applications Familiarity with popular LLMs such as ChatGPT, Claude, or others Familiarity with python, Next.JS, Docker and full stack technologies Basic understanding of prompt engineering concepts Proficiency in at least one programming language (js preferred) Ability to work in a fast-paced, rapidly changing environment Strong problem-solving skills and meticulous attention to detail Excellent communication skills, both written and verbal Bonus: Understanding of business processes and enterprise software systems

ResponsibilitiesProduct Development of Ovation DCS and its applications, Ovation Green SCADA, Productivity Tool, Protocol Simulator, Virtualization Installation, Configuration and Maintenance of test systems Continuous development of skill on DCS product components Coordination with product development team Maintain product quality testing within agreed schedule Qualification & Experience Knowledge of Distributed Control System (DCS) or SCADA applications Knowledge of networking and its tools Basic Knowledge of Security Basic knowledge on virtualization Software Testing Lifecycle Programming languages (C#, C and C++) , Java, Blazor, React, WPF Scripting languages (Python, Batch file, VB, PowerShell, Html-CSS-JavaScript etc.) Computer system architecture Windows operating systems Bachelor’s degree in Computer/IT/ Electronics/Electrical/Instrumentation/Power Engineering Basic knowledge of Development life cycle Able to work in a team Communicates Effectively Nimble Learning Creative and analytical approach to apply academic knowledge in product testing 

ResponsibilitiesBrainstorm, design, and develop new features in products as per the team practices. Develop tools and infrastructure to improve engineering efficiency. Independently own the feature(s) through release Design and implement moderate- to high-complexity features to a high level of quality. Facilitate decisions vital to deliver a quality product in a timely fashion. Define and prioritize tasks for the team and leverage resources to complete tasks on time. Review code and design of junior engineers and provide high-quality feedback. Involve in testing activities and write unit tests for the features. Mentor junior engineers.Qualification & Experience B.E/ B.Tech/ M.Tech/ MCA in Computer Science/Electronics and Communications/Telecommunications/Electrical/Instrumentation 5 - 8 years of proven experience in Python Backend Development Demonstrated ability in problem-solving, optimally diagnosing technical issues and proposing reasonable solutions. Proficiency in Python Strong understanding and experience of object-oriented programming, data structures, software architectures, design principles, and patterns. Familiarity with Agile software development practices and continuous integration pipelines is preferred.

Responsibilities  Analyze and troubleshoot performance issues in existing applications/products, designing solutions to address challenges.  Design, develop, and implement scalable and innovative features for new and existing products.  Perform thorough testing, ensuring that logic, syntax, and outputs are accurate.  Document code and architectural changes, including modifications at the procedural, modular, and database levels.  Enhance performance and scalability of systems through innovative solutions.  Own product modules and drive them from requirement scoping through production launch.  Own key services within the architecture working with peers and Principle Software Engineers to ensure upgrades and enhancements are implemented.  Ensure technical documentation is created and maintained  Provide technical mentorship to junior team members and assist them in achieving their tasks.  Actively participate in Agile ceremonies, including stand-ups, sprint planning, and retrospectives.  Work closely with the PO / BA to refine user stories/tasks in Jira.Qualification & Experience Bachelor’s degree in computer science or a related field with 6+ years of professional experience in software development.  2+ years of experience in cloud-native application development using Azure.  Expertise in creating APIs using .NET Framework or .NET Core and REST principles.  Good to have experience in modern front-end frameworks like Vue, React, or Angular.

ResponsibilitiesDevelop new applications, bug fix and expand features in existing applications. Backend software design and development. Build and deliver solutions that meet stakeholder requirements & customer expectations. Provide timely information to individuals across the organization. Design and review of technical specification & its Architect. Design and develop multi-layer, cross- platform applications using design patterns.Qualification & Experience Commercial experience with core Java 5+ Solid understanding of object-oriented programming Good knowledge of Java ecosystem: containers, class loaders, data structures, streams Good knowledge of SQL Knowledge of concurrency in Java Basic understanding of JVM, its limitations, weaknesses, and workarounds Understanding of client-side and server-side architectures Familiarity with build tools such as Ant, Maven Experience with Microsoft development tools. Practical experience in software design principles and best practices. Proficient in troubleshooting and debugging software. Develop and execute manual unit test as well as perform unit and integration testing. Experience with full-lifecycle projects, formal software development methodologies. Ability to work and function within a diverse environment with remote teams. Design and Implementation of RESTful APIs integration Working Knowledge on Communication Protocol development like OPC UA, Modbus, TCP/IP, DNP3 Bachelor of Engineering degree in Computer Science, related engineering discipline or Equivalent4- 7 years’ experience with at least 3 years in Software development Experience with Web sockets Tomcat servlet engine SQL Server, Apache Cassandra, PostgreSQL database Experience with Junit tests Networking knowledge Knowledge of SCADA systems Basic knowledge of renewable assets (wind turbines, solar plants, BESS) Experience with the Agile methodologies 

Responsibilities Build and maintain AI agents using Microsoft Copilot Studio or similar tools and enable teams across Morningstar DBRS to build AI agents. Build and maintain AI-based applications in the cloud using AWS Bedrock and related AWS services. Build end-to-end web applications with Python for the back end using GitHub Copilot or Claude Code Use an Agile approach to iteratively deliver enhancements and new functionality. Stay up to date on emerging technologies and industry best practices. Build secure, reusable code and follow best practices for object-oriented design and continuous integration/continuous deployment (CI/CD).Qualification & ExperienceBachelor’s degree in computer science or an engineering field; a graduate degree is preferred. At least two years of programming experience. Experience with AI tools and frameworks such as Microsoft Copilot Studio and AWS Bedrock. Understanding of Retrieval-augmented generation (RAG), vector databases, and MCP development. Experience with Python, SQL/NoSQL databases, and AWS. Experience of using GitHub Copilot or Claude Code for as an AI assistant during software development.

Responsibilities Design, develop, and maintain automated test frameworks and test suites for backend services, APIs, and front-end applications. Perform white-box testing by writing and reviewing code to validate internal logic and integration points. Use AI augmentation tools like GitHub Copilot to enhance productivity and test coverage. Collaborate with developers and product teams to define test strategies, acceptance criteria, and quality gates. Integrate automated tests into CI/CD pipelines to ensure continuous validation of code changes. Develop and execute API tests using tools such as JUnit, Postman, REST-assured, or similar. Identify, document, and track bugs and issues, and work with engineering teams to resolve them efficiently. Advocate for engineering excellence and drive adoption of best practices in testing and quality assurance. Continuously evaluate and improve test coverage, tooling, and processes to enhance team productivity and product quality. Ownership of the automated QA process. In particular: API tests,e2e tests, Smoke tests, Integration tests. Automation of regression testing, Automated generation of test data, Gathering and analyzing test reports, Analysis of the existing automation gaps Helping to identify opportunities for automation. Assisting with / leading the automation review initiativeQualification & ExperienceBachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in software testing and automation. Strong programming skills in Java, Python, or similar languages. Hands-on experience with JUnit, API testing (REST, OpenAPI, GRPC*) including tools like Swagger / Postman / curl. Practical experience with SQL Ability to find bottlenecks and thresholds in existing code with the help of automation tool