8 Orchestration Frameworks Jobs

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What you'll do: As a Senior/Staff Machine Learning Engineer, you'll be a technical leader helping architect, scale, and harden SAP's next generation of generative AI services. You'll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows-turning foundational model research into secure, production-ready enterprise solutions. Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services. Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale. Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP's GenAI Hub and third-party providers (e.g., Amazon Bedrock). Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs. Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond. Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability. Stay at the forefront of ML/AI trends and bring best practices into the team's architecture and execution. what you bring: 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles. Deep proficiency in Python and familiarity with Go/TypeScript experience with distributed systems and orchestration frameworks. Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation. Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs). Proven track record of delivering production AI systems at scale. Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability. Experience mentoring engineers and shaping engineering culture Meet the team: The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research & Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP's Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows At SAP, senior engineers have the chance to define architecture and strategy for some of the world's most impactful enterprise AI services. You'll shape how businesses plan, build, and visualize with AI-while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP's AI innovations scale securely, reliably, and responsibly Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [HIDDEN TEXT] For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 432519 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . Director Data Engineering (Hyderabad) We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering function from Hyderabad. This leadership role is pivotal in shaping our enterprise data strategy, driving platform innovation, and delivering scalable data solutions. You will be responsible for building and managing high-performing teams, collaborating with cross-functional stakeholders, and ensuring the delivery of robust, secure, and governed data platforms. The ideal candidate will bring deep expertise in data engineering domains such as ingestion, mastering, data mapping, data products, observability, governance, and security, along with a strong grasp of end-to-end platform development including UI, APIs, orchestration, and data processing. Key Responsibilities Leadership & Strategy: Define and drive the data engineering vision, strategy, and roadmap aligned with business goals. Lead and mentor a team of data engineers, architects, and analysts across multiple projects. Foster a culture of innovation, accountability, and continuous improvement. Platform Development: Architect and oversee the development of scalable data platforms using modern tech stacks. Ensure seamless integration across UI, APIs, orchestration layers, and data processing pipelines. Data Engineering Excellence: Own and optimize data ingestion, mastering, mapping, and transformation processes. Drive the creation and management of reusable data products and services. Governance & Security: Implement robust data governance frameworks ensuring compliance and data quality. Champion data security best practices across the platform. Operational Excellence: Establish data observability practices for proactive monitoring and issue resolution. Collaborate with DevOps and SRE teams to ensure platform reliability and scalability. Stakeholder Management: Partner with business, product, and technology leaders to align data initiatives with strategic priorities. Communicate effectively with executive leadership, translating technical concepts into business value. Key Requirements Experience & Expertise: 12+ years of experience in data engineering, with at least 35 years in leadership roles. Proven track record of building and scaling data platforms in cloud-native environments. Technical Skills: Strong background in Apache Spark, Airflow, Python, FastAPI, and Google Cloud Platform (GCP). Deep understanding of data architecture, data modeling, ETL/ELT pipelines, and orchestration frameworks. Leadership & Communication: Demonstrated ability to lead cross-functional teams and manage senior stakeholders. Excellent communication, presentation, and interpersonal skills. Location-Specific Attributes: Familiarity with the Hyderabad tech ecosystem and ability to attract and retain top talent. Comfortable working in a hybrid or onsite leadership capacity from our Hyderabad office. All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever&aposs Privacy Notice and Cookie Policy , which governs the processing of visitor data on this platform. Show more Show less

As a Lead Machine Learning Engineer, you will be responsible for leading the design, development, and deployment of cutting-edge ML models and systems. Your primary focus will be collaborating with the engineering and product teams to create solutions tailored to financial markets. You will work closely with cross-functional teams to seamlessly integrate ML solutions into various products. Your role will involve driving innovation through continuous research and application of the latest ML techniques and technologies. You will take the lead in developing end-to-end ML workflows, emphasizing LLM-based architectures and applications. Fine-tuning and optimizing both open-source and proprietary LLMs for practical use cases will be a key aspect of your responsibilities. You will also apply advanced techniques such as retrieval-augmented generation (RAG), prompt engineering, and model compression to enhance performance and efficiency. Additionally, you will collaborate with product and engineering teams to incorporate LLMs into customer-facing applications. Guiding data collection, setting up training pipelines, and deploying infrastructure will be integral parts of your role. It is crucial to stay updated on the latest advancements in the LLM and generative AI space to evaluate their relevance to ongoing projects. To excel in this role, you should possess strong expertise in Python, ML frameworks (such as TensorFlow, PyTorch), and cloud platforms (AWS/GCP/Azure). A solid background in ML/NLP, especially in developing and delivering LLM-powered products, is essential. Familiarity with tools like Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs, vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks is highly beneficial. Furthermore, a deep understanding of model evaluation, performance optimization, and responsible AI principles is required. The ability to thrive in fast-paced, cross-functional environments is crucial for success in this role. While not mandatory, knowledge and exposure to financial markets would be advantageous for this position.,

About the role At Orange Business, Digital Technologys purpose is To be a trusted technology business partner, delivering outstanding digital experiences that amaze our customers, partners and employees Keeping customer at the center of this digital transformation, we are simplifying, transforming and standardizing processes/ways of working and migrating service desks to ServiceNow, pushing automating across the workflows. Head of NetDevOps is A NetDevOps Lead is responsible for driving the adoption and implementation of DevOps practices within the networking domain of an organization. Should lead design and automation of network infrastructure using modern tools and methodologies such as Infrastructure as Code (IaC), continuous integration/continuous deployment (CI/CD), and configuration management. The NetDevOps Lead oversees the creation of scalable, repeatable workflows for provisioning, monitoring, and managing network devices and services. They work closely with network engineers, software developers, and operations teams to ensure that network changes are tested, version-controlled, and deployed safely and efficiently across LAN, WAN, SDWAN, Internet and Voice products. In addition to technical execution, the NetDevOps Lead plays a strategic role in transforming legacy network operations into agile, software-driven environments. They define best practices, enforce compliance, and ensure that networking solutions align with business and security requirements. The role involves mentoring teams, introducing automation and observability tools, and fostering a culture of collaboration between networking, cloud, and IT teams. By bridging the gap between traditional network operations and agile development, the NetDevOps Lead helps accelerate innovation, reduce downtime, and improve service delivery across the enterprise or service provider environment. Develop a trust relationship with the internal stakeholders and customers based on common objectives and plan, build the partnership from the current support model and drive business based on future proof technology and effective cost structure. Drive standardization and effective solution implementation, review the current capabilities and define the upskilling (e.g. product certification, devops, automation, security) and development plan, attract talent from the market and people who can drive the transformation and standardization, the relationship with business and customers. Inspire, organize and develop the team to become self-organized and operate smoothly in the SAFE setup. Work in partnership with the selected System Integrator and Product vendors to build a strong reliable ecosystem for the internal stakeholders and customers, collaboration for the roadmap delivery, transforming the teams and addressing the difficulties that will appear on the way. Being part of Digital Technology and working collaboratively with stakeholders, this role/migration plays a strategic role in OBs Digital transformation journey. This will enable OB to simplify, modernize, automate change implementation and provide digital services to B2B customers, further supporting the revenues growth and IT services development, co-driving Marketing and GDO digital roadmap. About you Strategy & Leadership Define and implement the NetDevOps strategy in alignment with the organizations Technology and Architecture roadmap and business objectives. Establish a roadmap for automation, tooling, processes, and team development to modernize network operations for all large customers in Orange Business. Build, Collaborate and lead a cross-functional team of network automation engineers, NetDevOps specialists, and infrastructure developers both with in Digital and Technology team, Operations, Marketing and our partners. Drive organizational change by championing NetDevOps culture, practices, and mindset across networking and operations teams. Architecture & Delivery In close collaboration with Architecture, NewCo, CurrentCo, Operations, Marketing and Data and AI team, Design and deliver a scalable, reliable, and programmable network platform using Infrastructure as Code (IaC), API-based configurations, and orchestration frameworks. Leveraging the framework from Platform Engineering team, build and maintain robust CI/CD pipelines for network infrastructure, ensuring safe and repeatable changes to production environments. Lead the implementation of change-driven automation in network operations across large customers. Oversee integration of NetDevOps practices with ServiceNow, CloudOps, DevOps, and SecOps. Tooling & Platforms Select and implement leading-edge tools such as: Governance, Security & Compliance Establish best practices for code quality, testing, and change control in network automation. Collaborate with Security, Compliance, and Risk teams to ensure all network changes follow enterprise policies and regulatory frameworks. Define metrics, observability standards, and SLAs for network automation performance. Stakeholder Management Actively participate and drive discussions with other applications/application leads/cross functional teams for required integrations with ServiceNow. Partner with Infrastructure, Cloud, Security, Application Development, and Service Management teams to enable business agility and platform resilience. Present NetDevOps progress, KPIs, and roadmap to executive leadership and stakeholders. Gain trust from GDO, wider Digital Technology teams, Marketing and SI Partners Change Management: Change is always accompanied with challenges across the organization. Develop and execute change management plans to ensure smooth transitions and adoption of new service management practices across the organization. Challenge the status quo and convince teams on productivity improvements with changes processes, workflows and integrations. Quality & Risk Management: Oversee quality assurance and risk management processes to ensure that the migration is delivered on time, within scope, and to the highest standards. Ensure E2E Quality testing in place, support UAT and production deployment. Continuous Improvement: Post initial rollouts, lead initiatives to reflect and drive improvements iteratively. Lessons leant should be documented and shared with wider stakeholders. Show more Show less

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

As a Solution Architect/Business Development Manager at NTT DATA, you will play a crucial role in specializing in Hyperscalers and cloud-based AI services, particularly Large Language Models (LLMs) offered by major cloud providers. Your responsibilities will include assessing client needs, recommending appropriate cloud AI technologies, sizing opportunities and cloud infrastructure requirements, and collaborating with delivery teams to create end-to-end solutions with accurate costing. You will need to demonstrate deep expertise in cloud-based AI services such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models. Your key roles and responsibilities will include solution architecture & technical leadership, business development, project & delivery leadership, and AI agent development. You will be required to develop compelling proposals and solution presentations for cloud-based AI implementations, nurture client relationships, and lead technical discovery sessions with clients. Additionally, you will need to architect multi-agent systems that leverage cloud platform capabilities, develop frameworks for agent orchestration and governance, and design cloud-native agent solutions that integrate with existing enterprise systems. To be successful in this role, you should have at least 8 years of experience in solution architecture or technical consulting roles, with 3 years of specialized experience working with LLMs and Private AI solutions. A strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads is essential, along with the ability to convert business requirements into technical specifications. A bachelor's degree in computer science, AI, or a related field is required, and the ability to travel up to 25% may be necessary. Preferred qualifications include a master's degree or PhD in Computer Science or a related technical field, as well as cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and Google Cloud Professional Cloud Architect. Experience with autonomous agent development using cloud-based AI services, deploying and fine-tuning LLMs on cloud platforms, and prompt engineering and LLM optimization techniques is also desirable. Strong problem-solving abilities, excellent communication skills, and an analytical mindset are essential for this role. This position is based in Delhi or Bangalore and offers a hybrid working environment. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With a commitment to helping clients innovate, optimize, and transform for long-term success, NTT DATA invests over $3.6 billion each year in R&D. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and offers services including business and technology consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity.,

About The Team Working in the Group Data Services (GDS) you will collaborate with teams across Swiss Re to address complex challenges in the re/insurance data domain by utilizing advanced technologies. The team operates with innovative data platforms like Palantir Foundry and Azure Synapse, enabling the integration of nearly 100 data sources to provide high-quality analytical data. The solutions developed support crucial decision-making processes within the business. While the majority of your colleagues and key partners are situated in Zurich, the team consists of a diverse international workforce located in various regions, from the USA to Bangalore, catering to a global customer base. About The Role As a part of an agile team, your responsibilities will involve extracting data from private and public clouds into Azure Serverless containers, data curation utilizing Synapse, and conducting advanced analytics and predictions using the strategic Palantir Foundry platform. Key responsibilities include: - Designing and implementing data pipelines in collaboration with data users and internal teams - Ensuring reliability, data quality, and optimal performance of data assets - Converting intricate business and analytics requirements into high-quality data assets - Delivering high-quality code with a focus on simplicity, reusability, performance, and maintainability - Collaborating with solution engineers, data scientists, and product owners to deliver end-to-end products About You If you thrive on overcoming challenges with state-of-the-art technologies, contributing to a dynamic and result-oriented team, we are interested in speaking with you. We believe you: - Possess a minimum of 5 years of experience in Software/data engineering with proficiency in programming languages - Have hands-on development experience with Python, a mandatory skill for this role - Demonstrate in-depth knowledge of distributed computing frameworks, with PySpark experience being essential - Are familiar with system design, data structures, algorithms, storage systems, and cloud infrastructure - Hold strong expertise in Azure Data Lake, Azure SQL, and any experience with Azure Synapse would be advantageous - Have practical experience in Azure Networking, API gateways, orchestration frameworks, and Azure DevOps CI/CD tools - Have prior involvement in designing and developing serverless architecture - Exhibit a solid understanding of data modeling and data architecture concepts - Might have some exposure to advanced analytics (Machine Learning, Statistics), which would be beneficial - Could also possess hands-on experience in designing and developing Foundry Pipelines, a significant advantage About Swiss Re Swiss Re is a global leader in reinsurance, insurance, and other insurance-based risk transfer solutions, dedicated to enhancing global resilience. The organization manages a diverse range of risks, from natural disasters and climate change to cybercrime, covering both Property & Casualty and Life & Health sectors. By leveraging experience, innovative thinking, and cutting-edge expertise, Swiss Re creates new opportunities and tailored solutions for clients worldwide. This is made possible through the collaborative efforts of over 14,000 employees across the globe. If you are a seasoned professional re-entering the workforce after a career hiatus, we encourage you to apply for open positions that align with your skills and experience.,

About the position: We are looking for a Data Architect with 3 to 18 years of experience to take charge of designing and implementing scalable data systems, primarily focusing on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. The ideal candidate should possess in-depth knowledge of modern data architecture, advanced analytics, and intelligent agent frameworks to support the development of autonomous and intelligent systems. Your role will involve collaborating with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise objectives. Key Responsibilities: - Design and implement enterprise-grade data architectures. - Lead initiatives related to data modeling, governance, metadata management, data lineage, and master data management. - Develop scalable data solutions to facilitate real-time inference and autonomous agent systems. - Architect and deploy end-to-end pipelines to support AI/ML workloads, including data ingestion, feature engineering, and model lifecycle management. - Work closely with AI research and product teams to operationalize GenAI models and integrate them into business workflows. - Implement and scale retrieval-augmented generation (RAG) and fine-tuning frameworks in production environments, as well as knowledge graphs. - Design data platforms to support multi-agent systems, ensuring seamless orchestration, communication, and memory management among agents. - Architect data flow and backend systems to support agentic workflows such as task decomposition, context switching, and reinforcement feedback loops alongside knowledge graphs. - Utilize frameworks like LangChain, Langgraph, AutoGen, CrewAI, or similar tools to build and manage autonomous and collaborative agents. - Demonstrate expertise in feedback loop design and development for multi-agent or agentic frameworks. Key Skills: - Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Proven track record of working with Generative AI models, LLMs (e.g., GPT, Claude, LLaMA), and orchestration frameworks (LangChain, LlamaIndex, Langgraph). - Familiarity with multi-agent frameworks (e.g., CrewAI, AutoGen, ReAct, CAMEL) and agentic AI design principles. - Strong understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.). - Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications: - Experience in building production-grade agentic systems with adaptive learning and decision-making capabilities. - Knowledge of knowledge graphs, semantic search, and advanced RAG pipelines. - Certifications in cloud platforms or AI/ML specializations (e.g., AWS Certified Data Analytics, Google ML Engineer). Join Xoriant: Xoriant is a leading provider of digital engineering services, known for its expertise in building and operating complex platforms and products at scale. With a legacy of three decades in software engineering, we blend modern technology skills in Data & AI (GenAI), cloud & security, domain, and process consulting to address intricate technology challenges. Serving over 100 Fortune 500 companies and tech startups, we aim to support their growth journey. As a "right-sized" company, we bring agility through our 5000+ passionate XFactors from over 20 countries, fostering a culture focused on purpose and employee happiness. Join us at Xoriant: - Experience an inclusive workspace where imagination turns into reality every day. - Contribute to a better future through tech & innovation as part of a passionate team. - Make a positive impact in the community by volunteering and building a stronger business and society. - Support your career growth to ensure long-term success by staying curious and driving innovation. - Prioritize well-being with multiple health benefits and maintain work-life balance. - Value your work with meaningful rewards and recognitions. - Celebrate diversity, inclusivity, and togetherness through festivals as one Xoriant Family. - Connect directly with leaders and voice your opinion through Candid Connects. - Bring new ideas to the fore and realize them through engineering in a culture of Ideation. If you believe you have the XFactor, we have a chair dedicated to your name. Apply now to be a part of Xoriant's journey. Visit www.xoriant.com for more information. Important Notice: If you encounter any suspicious job offers or fraudulent communication bearing Xoriant branding, please contact us at careers@xoriant.com immediately. Equal Employment Opportunity Statement: At Xoriant, we are dedicated to offering equal employment opportunities to all individuals, irrespective of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures fair treatment and respect for all employees, fostering a sense of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success. Qualifications: - Bachelor's or master's degree in Computer Science or a related field. Location: - Primary Location: Pune - Other Locations: Mumbai Job Details: - Role: Data Architect GenAI - Location: Pune/Hyderabad/Mumbai - Experience: 3 to 18 years - Job type: Full-time - Work type: Hybrid - Job Posting: Jul 17, 2025, 4:10:40 AM Primary Skills: AI Secondary Skills: Generative AI,