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Updated 2026-06-10 17:00 UTC·© 2025–2026 RoleSuite
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Technical Architect – AI & GenAI Specialization

Bosch · bengaluru, , India

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

AI Engineering pay context

Based on 632 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $201K/year, with most offers between $162K and $246K (10th–90th percentile: $131K–$286K).

See the full AI Engineering salary breakdown →
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