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,
Skills Required
- 11 -13 years of experience in AI/ML
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
- Proven experience in architecting enterprise-grade AI/ML platforms and solutions
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).
Nagarro Insights
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.
