Staff AI Forward Deployment Engineer

We are looking for Staff AI Forward Deployment Engineer to establish and grow our presence in India. In this role, you won't just be building chatbots; you will be the technical architect and strategic lead for our most critical customer deployments. You will bridge the gap between complex AI research and real-world business impact, serving as the technical face of Five9 for our clients in the region.

What You’ll Do

• Strategic Execution: Lead the design and deployment of sophisticated NLP models and conversational AI agents for high-stakes enterprise clients.
• Team Leadership: Mentor a team of AI engineers and data scientists, providing technical guidance, code reviews, and career development.
• Customer Partnership: Act as the primary technical point of contact for customers, translating vague business requirements into robust technical roadmaps.
• Data Strategy: Oversee the end-to-end data pipeline—from cleaning and organizing messy real-world text data to implementing advanced RAG (Retrieval-Augmented Generation) patterns.
• Optimization & Benchmarking: Define the standards for testing virtual agent performance, ensuring our models meet high accuracy and ethical AI standards.
• Cross-functional Collaboration: Work closely with US-based Engineering and Product teams to ensure the "voice of the customer" in India influences our global product roadmap.

What We’re Looking For

• NLP & LLM Expertise: Deep experience with NLP systems, Large Language Models (LLMs), and prompt engineering. You should know how to move beyond "out of the box" solutions to create production-grade AI.
• Statistical & Experimental Rigor: A mastery of A/B testing and model evaluation metrics. You don’t just build models; you prove they work using data.
• Consultative Mindset: Exceptional communication and consultative skills with a user-first mindset.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field.
• Experience: 6+ years of professional experience in Data Science/ML, with at least 1-2 years in a lead or senior capacity.
• Python Mastery: Expert-level Python skills and familiarity with the ML ecosystem (PyTorch, HuggingFace, LangChain, or similar).
• Customer-Facing Background: Proven track record of working directly with external clients or stakeholders to deliver technical products.
• Leadership Presence: Experience working with global teams across different time zones (specifically India and US).