We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job DescriptionWe 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.
Key Responsibilities:
In this role, you will operate at the intersection of development, technical leadership, and delivery execution.
- Design & Develop AI Solutions:
- 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.
- Code Review & Quality Governance:
- 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.
- Generative & Agentic AI Implementation:
- 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.
- Solution Delivery & Business Impact:
- Deliver AI solutions across business domains (marketing, supply chain, retail, operations), ensuring alignment with business requirements and measurable impact.
- Technical Leadership: Guide junior team members, support design decisions, and contribute to solution architecture under the guidance of senior architects.
- Cross-functional Collaboration: Work closely with Data Engineers, Product Managers, and DevOps teams to integrate AI models into scalable production systems.
- Mentorship & Knowledge Sharing: Mentor team members, support onboarding, and promote best practices across AI/ML development and deployment.
We are seeking a hands-on technical leader who can balance coding, code quality ownership, and team guidance, with a strong focus on delivery excellence.
- Education & Experience:
- 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
- Technical Expertise: AI/ML & Advanced Analytics:
- Strong expertise in Machine Learning, Deep Learning, and statistical modeling
- Experience in developing and deploying ML models in production
- Generative AI & LLMs:
- Hands-on experience with LLMs (GPT, Claude, Llama, Gemini)
- Experience in: RAG (Retrieval-Augmented Generation), Prompt Engineering & Context Handling, Embeddings & Vector Databases
- Exposure to agentic frameworks (LangGraph, CrewAI, AutoGen) is a plus
- Programming & Engineering:
- Strong proficiency in Python, SQL, and software engineering principles
- Experience with APIs, microservices, and scalable backend systems
- MLOps & DevOps:
- Experience with CI/CD pipelines, model deployment, and monitoring
- Familiarity with tools like MLflow, Vertex AI, or similar platforms
- Cloud & Data Platforms:
- Experience with GCP (preferred) or other cloud platforms
- Understanding of data pipelines, data lakes, and real-time processing
Soft Skills & Mindset:
- Technical Ownership: Takes responsibility for code quality, delivery, and technical decisions within the team
- Collaboration: Works effectively across teams and contributes to a strong engineering culture
- Problem Solving: Ability to break down complex problems and deliver practical AI solutions
- Communication: Clearly articulates technical concepts to both technical and non-technical stakeholders
Must have Skills: Data Modeling (Strong), Python (Expert), Generative & Agentic AI, Machine Learning, o Embeddings & Vector Databases,
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
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What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
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