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Tier-1 brand and metro location but senior, niche Agentic AI specialization reduces generic applicant density.
Core ML/GenAI skills are transferable, but advisory/FS context and Agentic AI focus increase domain sensitivity.
Explicit seniority plus mandatory LLM, GenAI, and data engineering tech stack enforces strict filters.
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Lead the design, development, and deployment of advanced AI solutions with a focus on agentic AI and GenAI frameworks.
Manage cross-functional teams to deliver AI solutions aligned with organizational goals and ensure adherence to ethical AI practices including AI guardrails.
Drive innovation by integrating latest AI advancements and document best practices for knowledge sharing.
Work Experience Required: 4-7 years in AI/automation related roles.
Mandatory skills include expertise in Python, machine learning models, deep learning, transformer architectures, GenAI frameworks (llamaindex, langchain), and ethical AI practices (Guardrails.AI).
Strong understanding of LLMs, SLMs, fine-tuning RAG outputs, and large-scale industrial AI architectures.
Educational Qualification: BE/B.Tech/MCA/M.Tech in relevant fields.
Experienced in leading AI initiatives with advanced knowledge of machine learning and AI architecture design.
Proficient in ethical AI implementation and permission-based data retrieval within complex AI solutions.
Capable of managing teams and driving innovation through continuous integration of cutting-edge AI technologies.