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Global brand presence, Bangalore metro location, and high-demand Generative AI skills raise candidate competition.
Core ML/AI architecture skills transfer across industries, though AdTech/MarTech experience is a notable advantage.
Explicit 13–16 years plus mandatory GenAI, cloud, and MLOps requirements create stringent shortlisting filters.
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Design and implement end-to-end Generative AI and Large Language Model (LLM) architectures integrated with enterprise data and cloud applications, focusing on scalability, reliability, and governance.
Develop, fine-tune, deploy AI models and build data pipelines using Python, SQL, and AI frameworks (e.g., LangChain, Hugging Face) with AWS cloud services (e.g., SageMaker, Bedrock).
Collaborate with stakeholders to define AI use cases, provide technical leadership, support pre-sales activities, and mentor teams on AI solution delivery and adoption.
13–16 years overall work experience with at least 3–4 years specifically in AI/ML and Generative AI solution development.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Proven expertise in Generative AI, LLM architectures, Python, SQL, data pipeline engineering, and AWS cloud services.
Experience with scalable AI/ML system design including data management, governance, vector search, and CI/CD (MLOps).
Experienced AI Architect combining hands-on technical expertise with consultative stakeholder engagement in enterprise environments.
Strong strategic orientation towards scalable Gen AI solution design with familiarity in cloud-native components and AI-driven personalization in marketing technology contexts.
Comfortable leading innovation, supporting pre-sales, and mentoring teams within a large, fast-moving digital technology organization.