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Senior specialized AI role at known conglomerate reduces generalist competition but attracts skilled ML applicants.
Core ML/LLM, MLOps, and architecture skills are transferable, though product integration favors product or automotive experience.
Mandates 10–12 years plus specialized AI, LLM, MLOps, architecture, and vendor management.
Lead end-to-end implementation of AI and Generative AI solutions addressing product business challenges, from identifying pain points to scalable production deployments.
Define solution architecture, technology roadmap, and implement integration with existing product platforms and data ecosystems.
Select and manage technology suppliers, drive technical solution design, and establish standards for solution quality, performance, and scalability.
10-12 years of relevant work experience in AI/GenAI solution implementation or architecture.
Bachelor's degree in Engineering, Computer Science, Information Technology, AI, Data Science, or related field.
Mandatory technical skills include AI/GenAI technologies, Machine Learning, Large Language Models, Cloud platforms (Azure, AWS, GCP), solution architecture, system integration, data engineering, API integration, MLOps, and vendor management.
Work Experience Required: 10-12 Years
Experienced in translating product-related business challenges into AI-driven solutions with measurable product and business impact.
Demonstrated ability in technical leadership, managing vendors, and delivering scalable AI systems integrated into enterprise platforms.
Skilled in strategic technical decision-making under ambiguity, balancing innovation with solution quality and scalability.