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Tier-1 brand plus broad AI/LLM and full-stack technical requirements increase candidate competition despite seniority.
Requires deep ML/LLM engineering and consulting delivery experience, reducing cross-industry transferability.
Explicit 10+ years requirement and mandated ML/LLM, cloud, and leadership skills raise shortlisting strictness.
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Lead and oversee multiple multidisciplinary teams in design, development, deployment, and maintenance of full-stack AI solutions, including integrating Large Language Models (LLMs).
Own the full lifecycle of AI models and solutions from development, prototyping, testing, validation to operational deployment and continuous improvement.
Drive strategic and technical leadership, stakeholder communication, quality control, and adoption of emerging AI technologies to align solutions with business objectives.
Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field.
Minimum 10 years of experience including senior technical leadership managing multiple multidisciplinary teams.
Hands-on expertise with Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector databases, LLMs, and prompt engineering.
Experience with major cloud platforms (AWS, Azure, or Google Cloud Platform); cloud foundational certifications highly desirable.
Senior technical leader combining deep AI/ML engineering expertise with strategic business acumen and stakeholder management.
Proven track record architecting and managing complex AI and machine learning solutions, especially orchestrated LLM applications.
Experienced in agile environments with strong capabilities in continuous integration/deployment, testing frameworks, and executive-level communication.