Senior Staff Engineer -- Lead AI Engineer

Nagarro•New York City, NY

About The Position

We are looking for a Lead AI Engineer / Senior Data Scientist to join our AI & Tech Accelerator. In this role, you will lead the design, development, and delivery of AI solutions, leveraging Machine Learning, Generative AI, and emerging Agentic AI patterns. You will play a key role in driving high-quality engineering practices, including code reviews, solution design, and mentoring, while remaining hands-on in development. In this role, you will operate at the intersection of development, technical leadership, and delivery execution.

Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
8–9.5 years of experience in AI/ML development and delivery
Proven experience in building and deploying production-grade AI/ML solutions
Strong experience in code reviews and team-level technical leadership
Strong expertise in Machine Learning, Deep Learning, and statistical modeling
Experience in developing and deploying ML models in production
Hands-on experience with LLMs (GPT, Claude, Llama, Gemini)
Experience in RAG (Retrieval-Augmented Generation)
Experience in Prompt Engineering & Context Handling
Experience with Embeddings & Vector Databases
Strong proficiency in Python, SQL, and software engineering principles
Experience with APIs, microservices, and scalable backend systems
Experience with CI/CD pipelines, model deployment, and monitoring
Experience with GCP (preferred) or other cloud platforms
Understanding of data pipelines, data lakes, and real-time processing
Takes responsibility for code quality, delivery, and technical decisions within the team
Works effectively across teams and contributes to a strong engineering culture
Ability to break down complex problems and deliver practical AI solutions
Clearly articulates technical concepts to both technical and non-technical stakeholders
Data Modeling (Strong)
Generative & Agentic AI
Machine Learning
Python (Expert)
Embeddings & Vector Databases

Nice To Haves

Exposure to agentic frameworks (LangGraph, CrewAI, AutoGen) is a plus
Familiarity with tools like MLflow, Vertex AI, or similar platforms

Responsibilities

Design and build scalable AI/ML solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs).
Contribute actively to development, ensuring high-quality, production-ready code.
Lead code reviews and enforce best practices across the team, ensuring maintainability, scalability, and performance of AI systems.
Establish coding standards and improve engineering quality.
Develop and implement Generative AI use cases, including RAG pipelines, prompt engineering, embeddings, and LLM integrations.
Contribute to building agentic workflows and multi-step reasoning systems.
Deliver AI solutions across business domains (marketing, supply chain, retail, operations), ensuring alignment with business requirements and measurable impact.
Guide junior team members, support design decisions, and contribute to solution architecture under the guidance of senior architects.
Work closely with Data Engineers, Product Managers, and DevOps teams to integrate AI models into scalable production systems.
Mentor team members, support onboarding, and promote best practices across AI/ML development and deployment.
Own code quality, review processes, and engineering best practices.
Contribute to solution design and architecture discussions.
Ensure timely and high-quality delivery of AI solutions.
Support adoption of best practices in AI/ML and Generative AI development.