Job description
This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 5000000 (ie INR 20-50 LPA) Min Experience: 7 years Location: Pune JobType: full-time We are seeking a visionary Head of Agentic AI to lead the design, development, and scaling of an advanced autonomous AI ecosystem.
This role focuses on building a robust Agent Runtime Engine capable of enabling intelligent agents to perform complex reasoning, decision-making, and task execution with minimal human intervention.
You will work at the forefront of innovation, integrating large language models with scalable cloud infrastructure to create high-performance, secure, and compliant AI systems.
As a strategic leader, you will collaborate with cross-functional engineering and product teams to define the roadmap, drive execution, and ensure delivery of cutting-edge AI solutions that power next-generation applications.
Key Responsibilities Lead the architecture, development, and scaling of an autonomous agent runtime engine for intelligent task execution Design and implement multi-agent systems, including lifecycle management (creation, monitoring, scaling) Integrate large language models with constraint-based systems to ensure safe, reliable, and compliant outputs Drive optimization of system performance, resource utilization, and cost efficiency across distributed environments Establish robust monitoring, logging, testing, and explainability frameworks for AI systems Build API-first systems to enable seamless integration across platforms and services Collaborate with engineering, product, and data teams to align AI capabilities with business objectives Lead, mentor, and scale a high-performing team of AI/ML engineers and researchers Stay ahead of advancements in generative AI, agentic systems, and machine learning technologies What Makes You a Great Fit 8+ years of experience in AI/ML with hands-on exposure to production-grade systems and at least 1+ year working with agentic AI or LLM-based systems Strong expertise in frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, and RAG pipelines Deep understanding of multi-agent architectures, autonomous reasoning, and reinforcement learning concepts Proficiency in cloud and distributed systems using AWS, Kubernetes, and Docker Experience building scalable microservices and API-driven architectures using Python or Go Solid understanding of observability, monitoring tools (e.
g., MLflow, Prometheus), and system reliability Strong leadership and team management skills with the ability to drive innovation and execution Analytical mindset with a focus on performance, scalability, and system optimization Excellent communication skills and ability to influence cross-functional stakeholders Exposure to fintech or regulated environments is an added advantage
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