Solution Architect Jobs in Bengaluru GCCs

Minimum requirements: Bachelor’s or Master’s degree in Mechanical / Industrial / Manufacturing Engineering, Operations Research, Supply Chain, or related field. 5+ years of hands-on experience with Siemens Plant Simulation (PlantSIM), with proven track record of executing projects. Strong understanding of manufacturing processes, supply chain concepts, and production planning.

Minimum Requirements: - Deep expertise across multiple storage platforms and technologies - Experience designing storage solutions supporting petabytes in production environments - Proven success leading large-scale storage transformation and modernization programs - Background in high-performance computing (HPC) storage or AI/ML data platform architectures - Proficient in data protection strategies and storage management/monitoring tools - Designs scalable, high-availability storage solutions including multi-site DR architectures with optimized RPO/RTO - Experienced in capacity planning, storage tiering, and Infrastructure-as-Code (Terraform, Ansible) -Solid understanding of virtualization, containerization (VMware, Kubernetes, OpenShift), and container storage (CSI drivers) - Working knowledge of database storage needs, Linux/Windows OS, and scripting/automation (Bash, APIs, CI/CD) - Communicates complex technical concepts clearly to executive audiences and cross-functional stakeholders - Skilled at translating business needs into technical architecture and mentoring technical teams - Strategic, innovative thinker with strong business acumen and a data-driven approach to problem-solving - Certifications - Storage vendors(Hitachi Vantara, NetApp NCIE, Dell EMC, Pure Storage) - Cloud certifications (AWS, Azure, Google Cloud) ABOUT US Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com. Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment. JOB INFO Job Identification 25010931 Job Category Information Technology Posting Date 09/06/2026, 05:52 am

Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). Minimum 4 years of hands-on as Architect. Minimum 7 years of overall experinece. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Functional Skills Cloud Security IT Vendor Lifecycle Strategy & Optimization Cloud Computing Nothing herein is intended to override the corporate separateness of local entities. 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AI & HPC infrastructure solutions, communications skills, presentation skills, ability to simplify and explain complex tasks, architectures and environments, written communication skills, oral communication skills, ability to work independently, ability to respond timely, ability to remain composed in hectic environments, ability to listen, understand and articulate customer's needs, understanding of AI ecosystem (NVIDIA/AMD/INTEL GPUs, hardware components, software libraries, Docker, Kubernetes, middleware, application stack), understanding of storage technologies (SAN, NAS, DAS, Parallel Filesystems, Object Storage, Software Defined Storage), knowledge of storage protocols (BLOCK I/O, NFS, SMB, S3), understanding of Ethernet and InfiniBand networking technologies (network topology, blocking ratios, throughput, IOPS capabilities), experience with Lustre/GPFS/Weka/BeeGFS, experience architecting or deploying solutions in public/private clouds and multitenant environments, understanding of content development for different customer seniority levels, Self-Starter

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Overall, 12-15 years of experience and at least 3+ years of experience in ServiceNow Architecture and Strategy Deep knowledge of ServiceNow solutions and ITIL processes. Manage and implement ServiceNow Development standards and best practices along with Centre of Excellence (CoE) Implementation or management experience on various ServiceNow modules, including Customer & Contract Management, Complex Case Workflow, Integration Hub, Predictive Intelligence, ServiceNow Now Assist (AI), Platform Analytics (Advanced), and Automation Engine Proven experience in designing and implementing ServiceNow solutions in an enterprise environment. Excellent communication skills to interact with clients and team members. Strong analytical and problem-solving skills. Ability to manage multiple projects and priorities. Experience with integrating ServiceNow with other applications and systems. Proficiency in creating technical documentation and diagrams. Foundation Certifications: (Mandatory) ServiceNow Certified System Administrator (CSA) Certified Implementation Specialist (CIS-ITSM and CIS-CSM / FSM) Certified Application Developer (CAD) Key Architecture Certifications: (Optional) Certified Technical Architect (CTA) or Certified Master Architect (CMA)

AI, Azure, Compliance, Security, SharePoint, Teams, compliance, identity, security, teams

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Node, Mongo Db, React, MongoDB, Express.js, React, Node.js, Node.js, Express.js, REST/GraphQL, async programming, event-driven design, React, Redux/Recoil, TypeScript, responsive UI, modular architectures, Microservices, DDD, distributed systems, serverless architectures, MongoDB, Redis, PostgreSQL/MySQL, AWS, Azure, GCP, OpenAI, Azure OpenAI, Vertex AI, Bedrock, RAG, embeddings, vector databases, Pinecone, Redis Vector, Milvus, Weaviate, Java 11+, Spring Boot, microservices, JPA/Hibernate, REST services, Python, PyTorch, TensorFlow, Scikit-learn, React Native, Flutter, hybrid mobile frameworks

Java 11+, Spring Boot, Spring Cloud, REST, JPA/Hibernate, Angular/React, Node, TypeScript, HTML, CSS, microservices, cloud-native services, event-driven systems, asynchronous patterns, high-performance data pipelines, AI inference services, gRPC, model-serving APIs, MLOps practices, AWS Bedrock/SageMaker, Azure OpenAI, Azure ML, GCP Vertex AI, vector databases, embeddings, retrieval-augmented generation (RAG), state management, AI APIs, AWS, Azure, GCP, CI/CD pipelines, Docker, Kubernetes, GPU workloads, distributed architecture, DDD, event-driven design, Relational databases, NoSQL, MongoDB, Cassandra, Pinecone, Redis Vector, Milvus, OpenAI, Vertex AI, Bedrock, ML lifecycle, model training, evaluation, deployment, monitoring, Python-based ML frameworks, PyTorch, TensorFlow, Scikit-learn, LangChain, Semantic Kernel, Haystack, MLOps workflows, model versioning, drift detection, AI-driven features, communication, leadership, translate AI concepts into business value, problem-solving, solutioning mindset, Cloud Architect certification, Generative AI / ML certifications, Java Architecture certifications, data engineering pipelines, ETL, streaming platforms (Kafka), privacy, responsible AI, security frameworks

Node.js, Express.js, MongoDB, React, Cloud & AI Integration, microservices, front-end frameworks, distributed systems, cloud-native deployments, AI/ML-enabled features, intelligent automation, predictive analytics, NLP, RAG, modern UI/UX enhancements, cloud model-serving endpoints, vector databases, embeddings, Node.js, Express.js, serverless, containerized designs, asynchronous messaging, scalable services, secure API frameworks, OAuth, JWT, AI inference endpoints, REST, gRPC, model-serving APIs, React.js, TypeScript, modern state management, AI-aware UI elements, copilots, chatbot interfaces, predictive suggestions, AWS, Azure, GCP, Lambda, API Gateway, S3, CI/CD pipelines, logging, distributed tracing, Redux/Recoil, responsive UI, modular architectures, DDD, distributed systems, serverless architectures, Redis, PostgreSQL/MySQL, schema design, indexing, pipelines, performance tuning, AWS, Azure, GCP cloud-native architecture, OpenAI, Azure OpenAI, Vertex AI, Bedrock model integrations, RAG, embeddings, vector databases, Pinecone, Redis Vector, Milvus, Weaviate, Java 11+, Spring Boot, microservices, JPA/Hibernate, REST services, Python, PyTorch, TensorFlow, Scikit-learn, model inference, data processing, AI pipeline integrations, React Native, Flutter, hybrid mobile frameworks, mobile-friendly micro frontends, backend APIs, AI-enabled mobile features, leadership, cross-functional collaboration, communication, stakeholder management

Java 11+, Spring Boot, Spring Cloud, REST, JPA/Hibernate, Angular/React, Node, TypeScript, HTML, CSS, Microservices, distributed architecture, DDD, event-driven design, AWS/Azure/GCP cloud-native architecture, Relational + NoSQL (MongoDB, Cassandra), vector DBs (Pinecone, Redis Vector, Milvus—preferred), AI APIs (OpenAI, Azure OpenAI, Vertex AI, Bedrock), ML lifecycle, Python-based ML frameworks (PyTorch, TensorFlow, Scikit-learn), RAG architecture, embeddings, LLM orchestration frameworks (LangChain, Semantic Kernel, Haystack), MLOps workflows, Docker/Kubernetes, AWS Bedrock/SageMaker, Azure OpenAI / Azure ML, GCP Vertex AI

Java 11+, Spring Boot, Spring Cloud, REST, JPA/Hibernate, Angular/React, Node, TypeScript, HTML, CSS, microservices, cloud-native services, event-driven systems, asynchronous patterns, high-performance data pipelines, AI inference services, gRPC, model-serving APIs, MLOps practices, AWS Bedrock/SageMaker, Azure OpenAI, Azure ML, GCP Vertex AI, vector databases, embeddings, retrieval-augmented generation (RAG), state management, AI APIs, AWS, Azure, GCP, CI/CD pipelines, Docker, Kubernetes, GPU workloads, distributed architecture, DDD, event-driven design, Relational databases, NoSQL, MongoDB, Cassandra, Pinecone, Redis Vector, Milvus, OpenAI, Vertex AI, Bedrock, ML lifecycle, model training, evaluation, deployment, monitoring, Python-based ML frameworks, PyTorch, TensorFlow, Scikit-learn, LangChain, Semantic Kernel, Haystack, MLOps workflows, model versioning, drift detection, AI-driven features, communication, leadership, translate AI concepts into business value, problem-solving, solutioning mindset, Cloud Architect certification, Generative AI / ML certifications, Java Architecture certifications, data engineering pipelines, ETL, streaming platforms (Kafka), privacy, responsible AI, security frameworks

Node.js, Express.js, MongoDB, React, Cloud & AI Integration, microservices, front-end frameworks, distributed systems, cloud-native deployments, AI/ML-enabled features, intelligent automation, predictive analytics, NLP, RAG, modern UI/UX enhancements, cloud model-serving endpoints, vector databases, embeddings, Node.js, Express.js, serverless, containerized designs, asynchronous messaging, scalable services, secure API frameworks, OAuth, JWT, AI inference endpoints, REST, gRPC, model-serving APIs, React.js, TypeScript, modern state management, AI-aware UI elements, copilots, chatbot interfaces, predictive suggestions, AWS, Azure, GCP, Lambda, API Gateway, S3, CI/CD pipelines, logging, distributed tracing, Redux/Recoil, responsive UI, modular architectures, DDD, distributed systems, serverless architectures, Redis, PostgreSQL/MySQL, schema design, indexing, pipelines, performance tuning, AWS, Azure, GCP cloud-native architecture, OpenAI, Azure OpenAI, Vertex AI, Bedrock model integrations, RAG, embeddings, vector databases, Pinecone, Redis Vector, Milvus, Weaviate, Java 11+, Spring Boot, microservices, JPA/Hibernate, REST services, Python, PyTorch, TensorFlow, Scikit-learn, model inference, data processing, AI pipeline integrations, React Native, Flutter, hybrid mobile frameworks, mobile-friendly micro frontends, backend APIs, AI-enabled mobile features, leadership, cross-functional collaboration, communication, stakeholder management

Node, Mongo Db, React, MongoDB, Express.js, React, Node.js, Node.js, Express.js, REST/GraphQL, async programming, event-driven design, React, Redux/Recoil, TypeScript, responsive UI, modular architectures, Microservices, DDD, distributed systems, serverless architectures, MongoDB, Redis, PostgreSQL/MySQL, AWS, Azure, GCP, OpenAI, Azure OpenAI, Vertex AI, Bedrock, RAG, embeddings, vector databases, Pinecone, Redis Vector, Milvus, Weaviate, Java 11+, Spring Boot, microservices, JPA/Hibernate, REST services, Python, PyTorch, TensorFlow, Scikit-learn, React Native, Flutter, hybrid mobile frameworks

Java 11+, Spring Boot, Spring Cloud, REST, JPA/Hibernate, Angular/React, Node, TypeScript, HTML, CSS, Microservices, distributed architecture, DDD, event-driven design, AWS/Azure/GCP cloud-native architecture, Relational + NoSQL (MongoDB, Cassandra), vector DBs (Pinecone, Redis Vector, Milvus—preferred), AI APIs (OpenAI, Azure OpenAI, Vertex AI, Bedrock), ML lifecycle, Python-based ML frameworks (PyTorch, TensorFlow, Scikit-learn), RAG architecture, embeddings, LLM orchestration frameworks (LangChain, Semantic Kernel, Haystack), MLOps workflows, Docker/Kubernetes, AWS Bedrock/SageMaker, Azure OpenAI / Azure ML, GCP Vertex AI

Strong communication and stakeholder management abilities. Ability to lead and influence across engineering, business, and design teams. Analytical, innovative, and user-centric mindset. Primary Skill: Application Architecture Sub Skill(s): Application Architecture Additional Skill(s): ReactJS, Java Architecture, JSP, Mobile Architecture, GIT / GITHUB, Application Architecture, Systems Architecture

ABAP development and a good understanding of SAP modules such as Finance, MM, PP, QM, SD, PLM, and APO.

and communicating complex concepts clearly and effectively to diverse audiences across different functions

and communicating complex concepts clearly and effectively to diverse audiences across different functions

Solution architecture for airport self-service; AWS (network rules, WAFs, IAM, security groups); SCADA, PRTG, CloudWatch, RabbitMQ, Elastic; CUPP/CUSS; IATA standards; ACI best practices; self-service kiosks & biometric boarding; airline DCS integration; Python/Shell automation; CI/CD; multi-site rollout experience

fresh. We have more than 175 services across a range of different categories and it's important that we can help startups take advantages of the right

to influence a variety of stakeholders from technical teams to executives. You'll help ensure their short-term technology decisions are aligned with t

AWS services, market segments, customer base and industry verticals

multiple technologies, patterns and frameworks; and is able to figure out trade-offs between them, be hands-on and can roll up their sleeves should ne

Architecture Expertise: Demonstrated expertise designing solutions in a global enterprise environment

Demonstrated expertise with architecting, designing and implementing solutions in a global enterprise environment In-depth knowledge and proven

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Certification: Anaplan Certified Technical Expertise: In-depth knowledge of Anaplan and

AI Architecture, GenAI, LLMs, RAG, Agentic AI, Multi-Agent Systems, Python, Cloud AI Services (AWS/Azure/GCP), Solution Architecture

java, sql, spring

5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed

Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed. Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required. Passion for defensive programming and building highly scalable and reliable software. Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls. BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams.

6+ years of experience in data visualisation and analytics Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Trusted advisor to technical executives that inform strategic data decisions Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. Proficient in programming, debugging, problem-solving using SQL and Python, and building data solutions Proven track record of successful pre-sales experience in competitive situations Ability to define and executive strategic program cross functionally High impact communication internally and externally

8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role 8+ years of experience with Big Data technologies, including Apache Spark , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others Strong consulting / customer facing experience , working with external clients across a variety of industry markets Coding experience in Python, R, Java, Apache Spark or Scala Experience building distributed data systems Have built solutions with public cloud providers such as AWS, Azure, or GCP Available to travel to customers in your region Nice to have: Databricks Certification

Strong consulting / customer facing experience , working with external clients across a variety of industry markets Core strength in either data engineering or data science technologies 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP) 6+ years of experience with Big Data technologies, including Apache Spark , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others Coding experience in Python, R, Java, Apache Spark or Scala

8 years of customer facing experience working with external clients or partners across a variety of industry markets Core strength in either data engineering or data science Experience demonstrating technical concepts, including presenting and whiteboarding Experience developing architectures within a public cloud (AWS, Azure, or GCP) Hands on experience in SQL, Python, Scala, or Java Expertise in at least one of the following: Data Engineering technologies (Ex: Apache Spark , Hadoop, Kafka) Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

sap basis administration, sap system architecture, sap upgrade/migration, db technologies knowledge, cloud implementation, disaster recovery planning, high availability solutions, stakeholder communication, requirement engineering, technical documentation, sap integration knowledge, collaboration skills, project management, sap application knowledge

aem architecture, java, .net, javascript, html, css, angular, vue.js, aws, azure, information architecture, security best practices, compliance standards, stakeholder management, devops practices, automated testing frameworks, structured release management, technical roadmap development, mentoring engineering teams, adobe marketing cloud, adobe analytics, adobe target, ai-enabled digital experiences

enterprise architecture, adobe experience cloud, ai/ml architecture, cloud architecture, api design, soa, togaf, azure, aws, data governance, data quality management, identity and access management, zero trust architecture, observability, microservices, serverless architecture, event-driven architecture, prompt engineering, rag, model evaluation, digital marketing platforms, stakeholder management, mentoring, workshop facilitation