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Principal AI Engineer

Principal AI Engineer

Sprinklr

7 years

0 Lacs

gurugram haryana india

Posted:1 day ago| Platform:

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Skills Required

ai design development research engagement strategy leadership planning retrieval model evaluation engineering tuning architecture learning ml programming python orchestration communication deployment compliance

Work Mode

On-site

Job Type

Full Time

Job Description

As Principal AI Engineer, you will lead the technical design and development of AI agent systems and LLM-powered capabilities. You’ll operate at the intersection of applied research, systems design, and strategic customer engagement. While your day job includes architecting scalable, production-ready AI components, your role also spans into guiding enterprise customers—serving as a thought leader in pre-sales, executive briefings, and AI strategy workshops.

Key Responsibilities:

Technical Leadership

Architect and implement advanced AI agent frameworks using LLMs (e.g. GPT, Claude, open-weight models).
Design end-to-end systems and solutions that integrate planning, memory, retrieval, and tool usage within AI agents.
Lead model evaluation, prompt engineering, fine-tuning, and RLHF efforts where necessary.
Collaborate with product and engineering teams to translate AI capabilities into platform features.

Customer & Pre-Sales Engagement

Partner with Sales, Product, and GTM to articulate AI strategy and solution architecture to enterprise clients.
Participate in pre-sales meetings, technical deep-dives, and AI innovation workshops with C-level stakeholders.
Translate customer needs into solution blueprints involving agents, LLMs, and AI workflows.
Represent the company in conferences, webinars, and thought-leadership forums as an AI expert.

Requirements:

Must-Have

PhD in Computer Science, Machine Learning, NLP, or related field.
7+ years of industry experience in AI/ML, with at least 2 years focused on LLMs and/or AI agents.
Strong programming skills in Python and experience with frameworks such as LangChain, Transformers, Ray, or similar.
Experience building production systems using LLMs (RAG, agentic workflows, orchestration, tool use, etc).
Exceptional communication skills and a proven ability to present complex ideas to technical and non-technical audiences.
Experience in client-facing roles or pre-sales technical advisory.

Nice-to-Have

Experience with enterprise AI deployment (e.g., compliance, privacy, scalability).
Publications or public talks in AI, NLP, or agentic systems.
Contributions to open-source LLM/agentic frameworks.

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Principal AI Engineer