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 seasoned AI Architect / Principal Data Scientist to join our AI & Tech Accelerator. In this role, you will lead the design, architecture, and enterprise-scale deployment of advanced AI systems, leveraging Machine Learning, Generative AI, and emerging Agentic AI paradigms. You will play a critical role in shaping AI strategy, driving innovation at scale, and enabling business transformation through cutting-edge intelligent systems.
Key Responsibilities:
In this role, you will operate at the intersection of strategy, architecture, and execution, driving enterprise-wide AI adoption.
Architect & Scale AI Solutions:
Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs). Establish best practices for building robust and reusable AI platforms.
Lead Generative & Agentic AI Innovation:
Define and implement enterprise-grade Generative AI and Agentic AI solutions, including multi-agent systems, autonomous workflows, and LLM orchestration frameworks. Drive innovation in areas such as RAG, context engineering, and intelligent automation.
Enterprise Impact & Transformation:
Own and deliver scalable AI solutions across multiple business domains (marketing, supply chain, retail, operations), ensuring measurable business impact and alignment with organizational strategy.
Technical Leadership & Governance:
Act as a technical authority defining architecture standards, AI governance, model lifecycle management, and responsible AI practices. Ensure scalability, security, and compliance across all AI initiatives.
Cross-functional Leadership:
Collaborate with senior stakeholders, product leaders, data engineers, and platform teams to translate business problems into AI-driven solutions. Lead architecture discussions and influence key technical decisions.
Mentorship & Capability Building:
Mentor senior engineers and data scientists, drive knowledge sharing, and build a strong AI engineering culture. Lead communities of practice and contribute to organizational capability development.
What We Are Looking For:
We are seeking a strategic thinker and hands-on architect who combines deep technical expertise with strong business acumen and leadership capabilities.
Education & Experience:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
- 11–13 years of experience in AI/ML, with significant experience in designing and deploying large-scale AI systems
- Proven experience in architecting enterprise-grade AI/ML platforms and solutions
Technical Expertise:
AI/ML & Advanced Analytics:
- Strong expertise in Machine Learning, Deep Learning, and statistical modeling
- Experience designing scalable ML systems and production pipelines
Generative AI & Agentic AI:
- Deep expertise in LLMs (GPT, Claude, Llama, Gemini) and their enterprise applications
- Strong experience in RAG architectures, prompt engineering, context engineering, embeddings, and vector databases
- Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and multi-agent orchestration
Architecture & Engineering:
- Strong system design and architecture skills for distributed AI systems
- Expertise in Python, SQL, and software engineering best practices
- Experience with microservices, APIs, and scalable backend systems
MLOps & Platform Engineering:
- Strong experience in MLOps practices including CI/CD, model versioning, monitoring, and governance
- Hands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar
Cloud & Data Platforms:
- Deep experience with cloud platforms, especially GCP (Vertex AI, BigQuery) and/or Databricks
- Strong understanding of data lakes, data warehouses, and real-time data processing
Soft Skills & Mindset:
Strategic Leadership:
Ability to align AI initiatives with business goals and drive long-term technology vision
Ownership & Accountability:
Takes end-to-end ownership of architecture, delivery, and outcomes
Influence & Communication:
Strong ability to communicate complex technical concepts to senior stakeholders and executives
Innovation Mindset:
Continuously explores emerging AI trends and drives adoption of next-gen technologies
Additional Expectations (Architect Level):
- Define AI roadmap and contribute to organizational AI strategy
- Establish reusable frameworks, accelerators, and best practices
- Drive cost optimization and performance efficiency at scale
- Ensure ethical AI and responsible AI implementation
Must have Skills: Data Modeling (Strong), Python (Expert), Generative & Agentic AI, Machine Learning, o Embeddings & Vector Databases,
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.
.jpg)
.png){kind=logo}
