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Job Description
Structured overview of role & requirementsAbout This Role
Design and architect scalable, secure AI and Generative AI solutions using LLMs, RAG, AI Agents, and Multi-Agent systems for enterprise customers.
Lead technical design, architecture reviews, and AI solution planning, including driving technology roadmaps and engineering standards.
Mentor AI engineers and data scientists, lead PoCs and customer workshops, and ensure deployment, monitoring, and continuous improvement of AI platforms and AI governance frameworks.
Minimum Requirements
8-12 years overall experience with at least 5+ years in AI/ML and Generative AI, and 3+ years in technical leadership roles.
Proficient in Python, PyTorch, TensorFlow, Hugging Face Transformers, LLMs, Prompt Engineering, RAG, AI Agents, cloud AI platforms (Azure, AWS, Google Cloud), and MLOps/LLMOps tools.
Educational qualification: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields preferred.
Experience with enterprise solution architecture and customer-facing consulting roles preferred; certifications in Azure AI Engineer, AWS ML, or Google Cloud AI highly desirable.
Ideal Candidate Profile
Experienced in leading AI teams to deliver cloud-native, production-grade AI platforms integrating multiple AI technologies and AI governance practices.
Skilled in collaborating with cross-functional stakeholders to translate business challenges into AI solutions and leading customer engagements such as PoCs and workshops.
Strong background in AI/ML system architecture, AI compliance, security, Responsible AI, and continuous model optimization in enterprise environments.