Solution Architect - AI

Siemens Energy; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Medical Insurance (family floater)

Meal Card

Flexi Pay

Job summary

Siemens Energy seeks a senior AI/ML software engineer to design, develop, and deploy scalable AI applications. The role focuses on GenAI, RAG frameworks, and robust architecture across the full lifecycle from data preprocessing to production monitoring.

The ideal candidate has 8+ years in software development, strong REST API experience in .NET/Python, and hands-on Azure cloud services expertise. Collaboration with product managers, agile practices, and mentorship of juniors are expected.

Qualifications

• 8+ years of professional experience in software development with production AI/ML
• 5+ years of experience building well‑architected REST API solutions in .NET and/or Python FastAPI
• Hands-on experience with Azure Cloud Services and Managed AI services in Azure; AWS is a plus
• Experience developing applications using LLMs, GenAI, and RAG architectures
• Experience in agile environments and project management with limited supervision
• AI & Data Science – Python, GenAI, RAG Frameworks, SQL, analytics

Responsibilities

• Design, develop, and deploy scalable AI applications utilizing GenAI and RAG frameworks.
• Maintain, troubleshoot, and enhance existing AI solutions for high availability and performance.
• Implement and manage CI/CD pipelines to automate testing and deployment of AI models and components.
• Manage end-to-end lifecycle of AI applications from data preprocessing to production monitoring.
• Define and document technical architecture for AI systems and evaluate technologies, cloud services.

Skills

REST API design

Python

GenAI / LLMs

RAG

Azure Cloud

CI/CD

MLOps

Microservices

DevOps

Terraform

Agile

Problem solving

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

Azure Cloud Services

FastAPI

SQL

Terraform

Job description

Snapshot of Your Day

The role is essential for maintaining and enhancing strategic assets of Sales and Service business functions which are central to the Transformation of Industry's digital services. To meet these objectives, the role will focus on two core areas: advanced AI application development and robust solution architecture. This involves hands‑on development using Generative AI and RAG frameworks, as well as managing the full application lifecycle from design and deployment to maintenance and continuous improvement. Given the focus on cutting‑edge AI and application stability, the ideal candidate will possess advanced expertise in .NET, Python, cloud platforms, and GenAI technologies. As a senior professional, you will be expected to work independently on complex problems, manage development processes, and provide technical guidance to other team members.

About the Role

The role is essential for maintaining and enhancing strategic assets of Sales and Service business functions which are central to the Transformation of Industry's digital services. To meet these objectives, the role will focus on two core areas: advanced AI application development and robust solution architecture.

How You’ll Make An Impact

• Design, develop, and deploy scalable AI applications utilizing Generative AI (GenAI) and Retrieval‑Augmented Generation (RAG) frameworks.
• Maintain, troubleshoot, and enhance existing AI solutions, to ensure high availability and performance.
• Implement and manage CI/CD pipelines to automate the testing and deployment of AI models and associated application components.
• Manage the end‑to‑end lifecycle of AI applications, from data preprocessing and model training to API integration and production monitoring.
• Define and document the technical architecture for new and existing AI systems, ensuring alignment with business requirements and scalability.
• Evaluate and select appropriate technologies, cloud services (AWS/Azure), and frameworks for AI projects to optimize performance and cost.
• Collaborate with product managers and business stakeholders to translate functional requirements into robust technical specifications.
• Coach and review the work of junior engineers, promoting best practices in software engineering, MLOps, and secure coding.

What You Bring

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related technical field.
• 8+ years of professional experience in software development, with a significant focus on building and deploying production‑level AI/ML solutions.
• 5+ years of experience in building well‑architected REST API solutions in .NET and/or Python Fast API.
• Hands‑on experience with Azure Cloud Services with expertise in Managed AI services in Azure. Familiarity with AWS is a plus.
• Demonstrable experience developing applications using Large Language Models (LLMs), Generative AI, and RAG architecture.
• Experience working in an agile environment and managing projects/processes with limited supervision.
• AI & Data Science – Python (Programming Language), Generative AI, RAG Frameworks, SQL (Programming Language), Analytical Skills.
• Software & Cloud Engineering – Cloud Services, DevOps, CI/CD, Application Programming Interface (API), Microservices. Knowing Terraform is a plus.
• Professional Abilities – Troubleshooting (Problem Solving), Agile Methodology.

About the Team

Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green hydrogen and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities.

Rewards / Benefits

• All employees are automatically covered under the Medical Insurance. Company paid substantial Family floater cover covering employees, spouse and 2 dependent children up to 25 years of age.
• Siemens Energy provides an option to opt for Meal Card to all its employees, which will be as per the terms and conditions prescribed in the company policy as part of CTC, tax saving measure.
• Flexi Pay empowers employees with the choice to customize the amount in some salary components within a defined range, thereby optimizing the tax benefits.