Jobs at Nagarro

Architect and develop scalable Generative AI and Agentic AI solutions for enterprise clients. The role translates business and technical requirements into architectures, designs, prototypes, production-ready Python systems, and AI pipelines. Responsibilities include implementing RAG, prompt engineering, fine-tuning, evaluation, APIs, cloud deployments, scalability, security, testing, and technical documentation while guiding developers and collaborating across product and engineering teams.

Architects and implements scalable generative and agentic AI solutions for enterprise workloads. Translates client requirements into technical designs, selects architectures and technologies, establishes scalability and reliability guidelines, reviews system designs, conducts proofs of concept, and writes production-ready Python code. Builds RAG and fine-tuned LLM systems, APIs, and cloud deployments on Azure or AWS while collaborating with product and engineering teams.

Architects and develops scalable generative and agentic AI solutions from business requirements through production deployment. Responsibilities include designing architectures, implementing RAG and LLM systems, defining scalability and reliability benchmarks, creating technical design documents, reviewing solutions, conducting proofs of concept, writing production-quality Python, and resolving technical issues. The role requires collaboration across product and engineering teams and deployment on Azure or AWS.

Architects and develops scalable generative and agentic AI solutions for enterprise clients. Translates business and technical requirements into robust designs, selects appropriate technologies, defines non-functional requirements, writes production-ready Python, and implements RAG, LLM, fine-tuning, evaluation, APIs, and cloud deployments. Reviews architecture, security, scalability, and maintainability; conducts proofs of concept; resolves technical issues; and collaborates with product and engineering teams to deliver production AI systems.

Architects, develops, and productionizes scalable generative and agentic AI solutions for enterprise clients. Designs system architectures, RAG pipelines, prompt engineering workflows, fine-tuning and evaluation processes, APIs, and cloud deployments on Azure or AWS. Reviews technical designs, defines scalability and reliability standards, conducts proofs of concept, resolves implementation issues, and translates business requirements into maintainable AI systems. Collaborates with product and engineering teams and contributes to open-source GenAI projects.

Architects and develops scalable GenAI and Agentic AI solutions for enterprise clients. Translates business and technical requirements into system designs, selects architectures and technologies, defines scalability and reliability standards, reviews designs, conducts proof-of-concepts, and resolves implementation issues. The role requires production-ready Python development, RAG, prompt engineering, model fine-tuning and evaluation, cloud deployment on Azure or AWS, API development, and collaboration across product and engineering teams.

Design, develop, test, deploy, and maintain enterprise applications using .NET Core, React, and AWS. Build scalable backend services, RESTful APIs, responsive interfaces, and cloud-native solutions. Collaborate with product, architecture, and QA teams; troubleshoot technical issues; participate in code reviews; improve CI/CD and DevOps practices; and support junior developers.

Develop and enhance enterprise ServiceNow solutions, primarily across SPM and CSM. Responsibilities include platform configuration, customization, scripting, workflow development, third-party integrations, testing, troubleshooting, upgrades, governance, and stakeholder collaboration. The role translates business requirements into scalable technical solutions and supports global implementation and continuous improvement initiatives.

Designs and implements enterprise ServiceNow solutions, including GRC and Legal applications, integrations, scoped applications, and platform configurations. Translates business requirements into technical architectures, reviews designs for scalability, security, extensibility, and performance, establishes implementation standards, and guides developers. Requires expertise in ServiceNow development, JavaScript and Glide scripting, REST/SOAP integrations, MID Server administration, upgrades, troubleshooting, CI/CD, and stakeholder consultation.

Develop and maintain enterprise ServiceNow solutions, primarily across Source to Pay and ITSM modules. Responsibilities include requirements analysis, platform configuration, custom application and workflow development, integrations, scripting, Service Portal and UI Builder experiences, testing, troubleshooting, governance, upgrades, and continuous improvement. The role collaborates with global stakeholders and technical teams to deliver scalable ServiceNow implementations.

Develop and maintain scalable, high-performance React Native applications for iOS and Android using Expo. Build reusable accessible UI components, integrate REST and GraphQL APIs, implement state management, optimize performance, and manage testing, signing, deployment, and releases. Collaborate with product, design, backend, and engineering teams while using AI-assisted development practices. Lead technical initiatives, resolve complex production issues, participate in Agile ceremonies, and mentor junior engineers.

Develop production-grade full-stack applications using Python, Flask or FastAPI, JavaScript, and React. Design relational database schemas, optimize queries, build REST APIs, and contribute to scalable system architectures. Manage API documentation, testing, Git workflows, CI/CD, and Docker deployments. Troubleshoot complex technical issues, collaborate cross-functionally, explore AI-assisted development tools, and mentor junior engineers.

Leads SAP FICA implementations and ECC-to-S/4HANA migrations, including blueprinting, configuration, business partner conversion, master data and open-item migration, testing, cutover, Go-Live, and Hypercare. Manages FI-GL integration, revenue posting, reconciliation, and integrations with FI-CO, SD, and BRIM. Conducts requirements workshops and fit-gap analysis, prepares functional specifications, coordinates with ABAP teams, resolves functional issues, and mentors junior consultants.

Leads SAP FICA implementations and ECC-to-S/4HANA migrations, including blueprinting, configuration, Business Partner and master data conversion, open-item migration, testing, cutover, go-live, and hypercare. Manages FICA processes, FI-GL integration, revenue posting, reconciliation, and integrations with FI-CO, SD, and BRIM. Conducts requirements workshops, fit-gap analysis, solution design, functional specifications, and coordinates with ABAP teams. Troubleshoots issues, mentors consultants, and drives best practices.

Designs and governs data architecture for unstructured and semi-structured knowledge assets. Defines conceptual, logical, and physical data models, domain boundaries, metadata standards, taxonomies, ontologies, security classifications, and data lineage. Registers data products in Databricks Unity Catalog and partners with engineering, knowledge management, architecture, privacy, and legal stakeholders. Establishes repeatable modeling standards for enterprise knowledge platforms and AI retrieval use cases.

Coordinates daily office and workplace operations, welcomes guests and employees, supports a positive office atmosphere, and helps plan events, health initiatives, room layouts, and office improvements. The role requires strong German and English skills, service orientation, organization, and proficiency with MS Office. It also involves inventory, merchandise management, shipping, and independently initiating projects to improve workplace efficiency.

Designs and implements SAP authorization concepts for S/4HANA compliance projects, ensuring Segregation of Duties. Responsibilities include analyzing customer environments, optimizing user and authorization management processes, supporting implementation and rollout phases, and providing second- and third-level support. The role may also include project management and presales activities. Candidates need several years of SAP authorization experience, S/4HANA implementation experience, and fluent German and English.

Develop and customize Oracle ERP applications, integrations, interfaces, reports, workflows, conversions, and extensions. Translate business requirements into technical solutions, optimize SQL and PL/SQL, troubleshoot issues, perform root-cause analysis, and support testing, deployment, and production activities. Collaborate with functional consultants and business teams while preparing technical documentation and improving Oracle ERP performance and maintainability.

Supports enterprise data governance, metadata management, data lineage, business glossaries, data catalogs, data mapping, lifecycle management, impact analysis, data profiling, and data quality initiatives. The role uses Collibra or Informatica Knowledge Catalog, SQL, data modeling, governance standards, and quality rules while facilitating stakeholder workshops, managing critical data elements, supporting regulatory compliance, and collaborating with global Agile teams.

Designs, develops, tests, deploys, enhances, and supports Workday integrations using EIBs, connectors, PECI, Workday Studio, and Document Transformation. Configures business processes, Workday security, and reports including BIRT reports. Provides production support, troubleshooting, root-cause analysis, mass data uploads, content administration, and integration maintenance across HCM, compensation, payroll, recruiting, and learning systems. Collaborates with stakeholders and IT teams while following ITSM incident, problem, and change-management processes.