Principal Engineer - AI Architect / Principal Data Scientist at Nagarro1

We 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 solutionsTechnical Expertise: AI/ML & Advanced Analytics: • Strong expertise in Machine Learning, Deep Learning, and statistical modeling • Experience designing scalable ML systems and production pipelinesGenerative 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 orchestrationArchitecture & 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 systemsMLOps & 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 similarCloud & 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 processingSoft 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