Technical Architect – AI & GenAI Specialization
BoschGroup
Posted: March 4, 2026
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Quick Summary
Technical Architect – AI & GenAI Specialization
Required Skills
Job Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
About the Role
We are seeking a highly skilled and Technical Architect – AI & GenAI Specialization for design and implementation of cutting-edge AI-driven enterprise solutions. This role requires deep expertise in Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), Machine Learning (ML), and Cloud AI services.
Key Responsibilities
Architecture Development
• Define and implement AI architecture for enterprise applications.
• Develop AI frameworks and models that integrate with existing enterprise systems.
• Ensure AI solutions are scalable, secure, and compliant with data privacy regulations (GDPR, CCPA, etc.).
Technical Leadership & Innovation
• Architect AI-powered platforms that support Gen-AI & AI frameworks and models.
• Stay ahead of AI advancements and drive innovation in AI-driven automation, personalization, and optimization.
AI Model Development & Optimization
• Execute the training, fine-tuning, and deployment of LLMs and ML models.
• Optimize model performance using techniques such as prompt engineering, retrieval-augmented generation (RAG), and knowledge distillation.
• Implement MLOps and AIOps best practices for continuous model monitoring and improvement.
Cloud & Infrastructure Integration
• Design and deploy AI solutions on Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI services.
• Ensure AI applications are cloud-native, containerized (Docker, Kubernetes), and scalable.
• Implement data pipelines, feature stores, and vector databases for efficient AI processing.
Cross-Functional Collaboration
• Work closely with engineering, data science, product, and business teams to align AI initiatives with company goals.
• Provide technical mentorship and guidance to AI engineers and developers.
• Communicate AI strategy and roadmaps to senior leadership and stakeholders.
Security, Compliance & Responsible AI
• Ensure AI solutions adhere to ethical AI principles, bias mitigation, and fairness.
• Implement AI governance frameworks for explainability, accountability, and security.
• Address risks related to AI hallucinations, adversarial attacks, and regulatory compliance.
Educational qualification: B-Tech / M-Tech Computer Science preferred
 
Experience : 10 - 12 Years
Mandatory/requires Skills :
Core AI & GenAI Expertise
• Strong hands-on experience with LLMs (GPT, Llama, Claude, etc.), ML frameworks (TensorFlow, PyTorch, Hugging Face), and deep learning models.
• Expertise in GenAI applications, including chatbots, code generation, multimodal AI, and synthetic data generation.
• Experience with RAG, vector databases (FAISS, Pinecone, Weaviate), and embeddings.
• Proficiency in AI-driven knowledge management, summarization, and automation.
Software Architecture & Engineering
• Strong understanding of enterprise software architectures, microservices, APIs, and distributed computing.
• Hands-on experience with Python, Java, Go, or other relevant languages.
• Familiarity with GraphQL, REST APIs, and event-driven architectures.
• Experience with MLOps pipelines, CI/CD for AI, and automated AI workflows.
Cloud & DevOps
• Expertise in deploying AI models on Azure, AWS, or Google Cloud.
• Experience with serverless AI architecture, Kubernetes, and cloud-native AI.
• Knowledge of data engineering, data lakes, and streaming analytics for AI.
Preferred Skills :
Leadership & Communication
• Ability to translate complex AI concepts into business-friendly insights.
• Strong stakeholder management, presentation, and decision-making skills.
Why Join Us?
• Opportunity to lead enterprise-wide AI initiatives at scale.
• Work with state-of-the-art AI technologies and a world-class team.
• Competitive comp