STAFF ENGINEER - AI

CNH Industrial • Gurgaon, Haryana, IN • $1 - $1m / year • 2d ago

About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

To lead the design, development, and deployment of AI solutions across domains such as natural language processing, computer vision, and multimodal systems. The role combines technical expertise with managerial responsibilities, including leading a team of 7-10 AI engineers, overseeing end-to-end project delivery, and aligning AI initiatives with organizational strategy.

The focus is on driving innovation with foundation models, fine-tuning LLMs, implementing Retrieval-Augmented Generation (RAG), Agentic AI and ensuring scalable, efficient, and responsible use of AI in business scenarios.

Key Responsibilities

Lead and mentor a team of 7–10 AI engineers, ensuring effective distribution of tasks, career development, and performance management.
Oversee and review the design, fine-tuning, and optimization of large language models (LLMs), generative AI systems.
Drive implementation of RAG pipelines and domain-specific AI applications using internal and external knowledge bases.
Agentic AI
Define and manage project roadmaps, ensuring timely delivery of AI solutions aligned with business priorities and global team.
Collaborate with product owners, business stakeholders, and cross-functional teams to identify use cases and scale AI solutions.
Ensure strong engineering practices in developing efficient data pipelines for preprocessing, augmentation, and training.
Support the establishment of best practices for responsible AI, including fairness, privacy, transparency, and governance.
Stay abreast of advancements in LLMs, generative diffusion models, AI frameworks, AI Agents, and industry standards.
Act as a bridge between leadership and technical teams by providing clear project status, risk assessments, and mitigation plans.

Experience Required

Overall Experience of more than 10 years. 3-4 years of Relevant experience on AI and a proven experience leading and managing AI/ML engineering teams (7-10 team members) with successful project deliveries.
Hands-on expertise in building generative AI applications (chatbots, copilots, document intelligence, Agents) with measurable business impact.
Knowledge of Project management tools and practices (Agile, JIRA, Confluence).
Strong skills in Python and AI frameworks (PyTorch, Hugging Face, LangChain, RAG frameworks).
Experience defining project KPIs, resource allocation, and ensuring delivery timelines.
Exposure to Copilot-style applications integrated into enterprise tools (Teams, Outlook, Excel, Confluence, Jira).
Understanding of vector databases (FAISS, Pinecone, Weaviate, ChromaDB) for retrieval.
Knowledge of APIs, deployment tools (FastAPI, Docker, Kubernetes), and MLOps practices.
Prior experience deploying and managing AI systems on cloud platforms (Azure OpenAI, AWS Bedrock).
Familiarity with Data Analytics tools and Databricks
Demonstrated success in leading enterprise-scale AI programs with cross-functional collaboration.
Familiarity with RLHF, LLM security, bias mitigation, and governance frameworks.
Contributions to open-source projects or published work in AI [plus]

Preferred Qualifications

Master’s or Ph.D. in Computer Science, AI/ML, Data Science, or related fields.
PMP certification [Preferred]

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including: