Principal Engineer, Data Science AI Architect

Nagarro; Haryana; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

Nagarro is hiring a Principal Engineer, Data Science AI Architect to lead GenAI, agentic AI, and enterprise AI initiatives across South Asia. You will translate business challenges into durable architectures, design scalable ML solutions, and drive production-grade AI platforms with strong governance.

Ideal candidates bring 11+ years of experience, deep ML fundamentals, Python/SQL proficiency, and hands-on work with embeddings, vector search, LLMs, and cloud deployments.

Qualifications

• 11+ years of experience in data science, ML engineering, or AI architecture.
• Ability to translate ambiguous business problems into scalable technical architectures.
• Experience designing and running GenAI and Agentic AI solutions in enterprise systems.
• Strong ML fundamentals: training, testing, overfitting, and evaluation.
• Proficient in Python, SQL, statistics, and time-series forecasting.
• Hands-on with embeddings, vector search, and LLM tool-calling.
• Experience with cloud platforms and production ML pipelines.

Responsibilities

• Lead design and implementation of GenAI workflows combining LLMs, tools, data, and user context.
• Establish engineering standards for prompt design, model integration, and observability.
• Drive platform components, SDKs, and reusable frameworks across teams.
• Collaborate with product, design, data, and business leaders to scale solutions.
• Review designs and code, unblock teams, and raise engineering quality.
• Ensure security, privacy, governance, and responsible AI practices.
• Conduct POCs to validate designs and technologies against requirements.

Skills

GenAI and Agentic AI design

LLMs & RAG

Embeddings & vector search

Prompt engineering & guardrails

Cloud platforms (GCP/AWS)

Production ML / MLOps

Python

SQL

Time series forecasting

Model evaluation & explainability

System architecture design

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Vertex AI

BigQuery

Vector databases

Job description

Principal Engineer, Data Science AI Architect

• Full-time
• Service Region: South Asia

We're Nagarro, 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 40 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!

REQUIREMENTS:

• Total experience 11+years.
• Must have experience to design, build and run GenAI and Agentic AI solutions inside enterprise systems, fitting AI into existing systems, security rules and budgets.
• Must have ability to translate ambiguous business problems into durable technical architectures.
• Must have strong ML fundamentals; how models are trained, tested and compared; spotting overfitting and weak data, deep learning basics; embeddings, classification, ranking models
• Should be able to architect and implement scalable ML, Generative AI, and Agentic AI solutions (LLMs, RAG, autonomous agents) aligned with business objectives.
• Must have experiencein data science, ML engineering or AI architecture, with at least 5 years leading ML solutions from design to production.
• Shouldhave expertise inPython, SQL and Solid statistics, including outlier detection and error metrics
• Should have exposure to time series forecasting.
• Should have production experience with regression and tabular ML: feature engineering, model selection, calibration, uncertainty (conformal or quantile intervals) and explainability (SHAP, coefficients).
• Must have experience with hierarchical forecasting or reconciliation, and prompt-injection testing.
• Should have hands-on experience with embeddings, vector search and hybrid retrieval, and with LLM applications: tool calling, retrieval-grounded generation, citations, guardrails and evaluation.
• Should have hands-on experience for building conversational agent, with multi-turn session memory and tool calling into the multiple engines and the semantic layer.
• Must have experience on a major cloud: pipelines, model registry, drift monitoring, retraining and low-latency serving.
• Should have experience with Google Cloud(Vertex AI, BigQuery, Gemini, Vector Search), or equivalent on another cloud.
• Design retrieval-grounded generation with citations, input and output guardrails, human approval for actions, and layered, attack-tested prompt-injection protection

ESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.
• Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability.
• Drive GenAI platform building reusable components, SDKs, and frameworks used across multiple teams or products.
• Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.
• Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.
• Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.
• Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.