Principal Generative AI Architect

Job Description :

Looking for Candidates who have Experience in below Domains only Transport Telecom, Media, Communication Engineering & Construction, Medical Devices, Product Engineering, Industrial.

Client - is a global leader in engineering, digital, and ER&D services, operating across 25+ countries and serving over 430 global clients.

Role & Responsibilities :

• Need Candidates with Minimum 4 Years Experience working as AI architect

• Masters or Bachelors degree in computer science, Data Science, AI, Statistics, Machine Learning, or related fields.

• Strong problem-solving and critical-thinking abilities to analyze complex business challenges and propose AI-driven solutions.

• Proficiency in building and deploying generative AI models, including expertise in deep learning frameworks such as TensorFlow and PyTorch.

• Proficiency in the following :

• Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud for deploying AI models.

• Experience in programming languages like Python, R, or other coding platforms relevant to AI model development.

• Good understanding of data governance, data quality, and data security aspects for structured and unstructured data.

• RAG, vector search, embeddings, semantic retrieval, Agentic workflows, tool calling, memory systems, Prompt engineering, tuning strategies, evaluation frameworks, multi-model orchestration and inference optimization.

• Ability to work in a collaborative, cross-functional team environment.

• Leadership of large, cross-functional global teams and ownership of AI & GenAI transformation programs.

• Strong stakeholder management at CXO and VP levels.

• Excellent communication for executive storytelling and solution visualization.

Key Skills Mandatory are : GenAI, AI, LLM, RAG, python, AI Model Development, Deep Learning, Solution Architecture, Deep Learning Frameworks