Next-Generation Solution Architect – AI & Cloud

Hello Visionary!

We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.

Does that sound like you? Then it seems like you’d make a great addition to our vibrant team.

We are looking for Next\-Generation Solution Architect – AI \& Cloud.

Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.

YOU’LL MAKE A DIFFERENCE BY:* Defining and owning end\-to\-end solution architectures aligned with business requirements, enterprise standards, security policies, scalability, performance, reliability, and cost objectives.

• Designing modern, distributed, and enterprise applications using microservices, service\-oriented architecture (SOA), RESTful APIs, event\-driven architectures, databases, messaging systems, caching, and integration patterns.
• Designing and implementing solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud, leveraging containerization, Kubernetes, serverless technologies, managed services, and cloud\-native design principles.
• Defining CI/CD pipelines, Infrastructure as Code (IaC), automated testing, deployment strategies, environment provisioning, observability, and operational practices. Promoting automation, reliability, and efficient software delivery.
• Designing and implementing AI\-powered solutions using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), embeddings, vector databases, prompt and context engineering, model integration, and AI evaluation techniques.
• Architecting AI agents and multi\-agent solutions involving planning, reasoning, tool calling, workflow orchestration, memory management, Model Context Protocol (MCP), human\-in\-the\-loop (HITL), and enterprise system integration.
• Establishing reusable architecture patterns, reference architectures, technical standards, design principles, and engineering best practices. Conducting architecture reviews and ensuring alignment with enterprise technology guidelines.
• Evaluating frameworks, platforms, tools, and emerging technologies. Identifying opportunities to reuse existing components, minimizing unnecessary development, and accelerating delivery through automation and AI\-assisted engineering.
• Incorporating security\-by\-design principles, identity and access management, secrets management, data protection, vulnerability management, and compliance requirements into solution architectures.

JOB REQUIREMENTS/ SKILLS:* BE / B.Tech / ME / M.Tech / MCA in Computer Science, Information Technology, Engineering, or related discipline.

• 10\+ years of overall experience in software engineering, solution design, and architecture, with at least 3\+ years in a Solution Architect, Technical Architect, or equivalent senior technical leadership role.
• Strong hands\-on programming experience in one or more languages such as Java, Python, JavaScript/TypeScript, Go, or C\#.
• Proven experience designing distributed systems, microservices, RESTful APIs, event\-driven architectures, enterprise integrations, and database solutions.
• Experience designing and delivering cloud\-based solutions using AWS, Azure, or Google Cloud Platform.
• Strong understanding of containers, Docker, Kubernetes, CI/CD, Infrastructure as Code, automated testing, deployment automation, and DevOps practices.
• Experience with relational and NoSQL databases, caching, message brokers, event streaming, service discovery, and workflow orchestration.
• Demonstrated experience with Generative AI and LLM\-based applications, including RAG, embeddings, vector databases, prompt engineering, context engineering, model integration, and evaluation.
• Understanding of Agentic AI architecture, agent orchestration, tool integration, MCP, memory, guardrails, human\-in\-the\-loop workflows, and multi\-agent systems. Hands\-on experience in developing and deploying AI agents is highly desirable.
• Knowledge of AI application security, responsible AI practices, observability, evaluation metrics, model performance, latency, and token/cost optimization.
• Experience with architecture modeling, design patterns, technical documentation, architecture decision records (ADRs), and non\-functional requirements.
• Ability to assess technology trade\-offs across performance, scalability, security, maintainability, complexity, delivery time, and total cost of ownership.

Create a better \#TomorrowWithUs!

This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.

At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital

Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds (http://www.siemens.com/careers/digitalminds)

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