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Tier-1 brand and metro locations but senior niche GenAI role limits applicant pool.
Highly specialized GenAI and LLM expertise required, limiting transferability outside AI-focused roles.
Explicit 10–15 years requirement, mandatory GenAI tech stack and leadership experience.
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Lead the technical delivery of enterprise-scale AI and GenAI software solutions, ensuring architecture, implementation, and documentation meet standards and project plans.
Manage and mentor cross-functional and global teams including Data Engineers, ML/AI Engineers, and Prompt engineers through project lifecycles from inception to implementation.
Collaborate with clients and project leadership to understand requirements, provide estimations, identify risks, and support sales and proposals for multiple end-to-end AI/GenAI projects.
10-15 years of relevant experience in Generative AI, Deep Learning, or NLP with leadership of 3-5 member teams on multiple AI/GenAI projects.
Hands-on proficiency in Python, Cuda, SQL and frameworks such as TensorFlow, PyTorch, Keras; experienced with major LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, Mistral.
Strong knowledge of GANs, Transformer architectures, Diffusion models, latest Gen AI research, hyperscaler AI offerings (NVIDIA, AWS, Azure, GCP, Oracle), Gen AI tools (Copilot, Vertex AI), Vector DB and relevant Graph DBs.
Bachelor’s or Master’s degree in Computer Science or equivalent (BE/B.Tech/MCA/MSc CS) from accredited university.
Experienced AI/GenAI technical leader adept in managing end-to-end delivery of large-scale multi-disciplinary AI projects across industries with ownership of both solution design and team mentoring.
Strong expertise in cutting-edge GenAI technologies, hyperscaler ecosystems, and maintaining up-to-date knowledge of academic and industry research to innovate AI models and workflows.
Able to engage effectively in client collaboration, technical sales support, risk management, and drive team excellence in fast-paced, global consulting environments.