Technical Architect – AI & GenAI Specialization at BoschGroup

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.