Agentic AI Lead

Snap; Bengaluru; Remote; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Remote-friendly

Distributed team

Competitive compensation

Job summary

Snap is seeking an Agentic AI Lead to architect and deploy autonomous, goal-oriented AI systems that transform data-driven workflows. You will collaborate with product, data science, and executive stakeholders to translate business challenges into scalable, self-correcting agents across distributed teams.

You will guide the evaluation of LangChain, AutoGPT and related orchestration tools, mentor engineers, and establish governance and safety protocols to ensure reliable, ethical deployments

Qualifications

• 7–12 years of professional experience in software engineering or ML roles.
• Proven leadership of distributed teams and cross-functional collaboration.
• Experience designing agentic workflows with LangChain/AutoGPT and LLM tuning.

Responsibilities

• Architect and oversee end-to-end agentic AI framework lifecycles.
• Collaborate with product and engineering leadership to identify high-impact use cases.
• Lead evaluation and integration of LLM frameworks and orchestration tools.
• Mentor engineers and researchers to foster rapid experimentation and testing.
• Establish governance and safety protocols for autonomous systems.

Skills

Agentic workflows

LangChain

AutoGPT

LLM fine-tuning

Prompt engineering

Distributed teams

Communication

AI systems architecture

Mentoring

Data workflows

Tools

LangChain

AutoGPT

Orchestration tools

LLM frameworks

Job description

As an Agentic AI Lead, you will spearhead the architecture and deployment of autonomous, goal-oriented AI systems that redefine how our business interacts with complex data and workflows. You will operate at the intersection of advanced machine learning research and practical product engineering, collaborating closely with cross-functional product managers, data scientists, and executive stakeholders to translate high-level business challenges into scalable, self-correcting AI agents. Your work will directly influence the efficiency of our internal operations and the quality of our customer-facing digital experiences, positioning the organisation at the forefront of the generative AI revolution. This role offers the flexibility to work from anywhere in India, requiring a high degree of self-motivation and the ability to drive technical excellence across distributed teams.

Responsibilities:

• Architect and oversee the end-to-end lifecycle of agentic AI frameworks to automate complex decision-making processes, ensuring our systems can reason, plan, and execute tasks with minimal human intervention.
• Partner with product and engineering leadership to identify high-impact use cases for autonomous agents, ensuring that technical development directly aligns with long-term business growth and operational efficiency.
• Lead the evaluation and integration of cutting-edge LLM frameworks and orchestration tools to build robust, reliable, and secure AI pipelines that meet enterprise-grade performance standards.
• Mentor a team of high-performing engineers and researchers, fostering a culture of rapid experimentation and rigorous testing to maintain a competitive edge in the rapidly evolving AI landscape.
• Establish governance and safety protocols for autonomous systems, ensuring that all deployed agents operate within ethical guidelines and maintain high levels of accuracy and data integrity.

Requirements:

• 7 to 12 years of professional experience in software engineering or machine learning roles.
• High level of adaptability and self-discipline, with a proven history of delivering complex technical projects independently while working across multiple locations.
• Demonstrated expertise in designing and deploying agentic workflows using frameworks like LangChain, AutoGPT, or similar orchestration tools, combined with a deep understanding of LLM fine-tuning and prompt engineering.
• Proven ability to bridge the gap between complex technical concepts and business requirements, effectively communicating project roadmaps and technical risks to non-technical stakeholders.
• Strong leadership capabilities with a track record of managing high-impact technical teams, fostering collaboration and driving consensus in a remote-first or distributed environment.
• Exceptional problem-solving skills, with the ability to navigate ambiguity and iterate quickly on complex AI models in a fast-paced, high-growth setting.