Senior Staff Engineer (AI Solution Design) at Nagarro Software Pvt Ltd

Mumbai City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

0.0

Posted On

12 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solution Design, Enterprise Architecture, RAG Workflows, Vector Databases, Prompt Engineering, LLM Evaluation, Python, MLOps, Data Pipelines, Distributed Systems, REST APIs, Event-Driven Architecture, Databricks, Delta Lake, Stakeholder Management, Technical Leadership

Industry

IT Services and IT Consulting

Description

Company Description 👋🏼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 a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ 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! Job Description Requirements Experience : 7.5+ years Relevasnt experience in a Solutions Architect, Principal Engineer, or equivalent technical leadership role. Proven experience designing and delivering enterprise-scale AI/ML solutions from concept through production deployment. Strong expertise in AI application solution design, enterprise architecture, and scalable distributed systems. Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) workflows, vector databases, prompt engineering, and LLM evaluation frameworks. Strong understanding of Design Systems and the ability to architect scalable, reusable, and user-centric AI platforms. Experience in data science solutioning, including model selection, classification, anomaly detection, clustering, deployment, monitoring, and optimization. Strong knowledge of enterprise data architecture, data pipelines, data lakes, batch and real-time processing, and data quality frameworks. Experience with Databricks, Delta Lake, or similar modern data platforms is preferred. Proficiency in Python with working knowledge of Java, Go, or Node.js. Experience designing REST APIs, event-driven architectures, and integrating enterprise applications such as ERP systems. Good understanding of MLOps practices, including MLflow, model registries, model serving, inference optimization, and AI observability. Experience with distributed tracing, logging, monitoring, and alerting for production AI systems. Strong analytical, problem-solving, documentation, and stakeholder management skills. Excellent communication skills with the ability to translate complex business requirements into scalable technical architectures. Experience in fintech, compliance, tax technology, SAP data models, GSTN integrations, or explainable AI solutions is an advantage. Responsibilities Lead discovery workshops with business, compliance, assurance, and IT stakeholders to understand business processes, data flows, and existing technology landscapes. Analyze enterprise data ecosystems, identify integration opportunities, technical constraints, and delivery risks, and define scalable solution approaches. Design end-to-end AI application architectures encompassing data ingestion, machine learning, LLMs, RAG workflows, APIs, and application layers. Define architecture blueprints, component designs, API contracts, technology stack selections, and end-to-end data flow documentation. Evaluate business use cases and determine the most appropriate implementation approach using AI, machine learning, LLMs, or rule-based solutions. Establish architecture standards, design principles, and technical governance for enterprise AI platforms. Provide technical leadership by conducting architecture reviews, guiding engineering teams, and ensuring adherence to architectural standards. Resolve technical challenges, manage architectural risks, and balance technical debt with project delivery objectives. Design scalable data ingestion and integration architectures connecting ERP systems, banking platforms, government portals, supplier systems, and enterprise applications. Define real-time and batch data processing strategies to support operational and compliance-driven business requirements. Architect integration frameworks that seamlessly incorporate AI outputs into existing enterprise systems while implementing fallback mechanisms for low-confidence predictions. Collaborate closely with engineering, data science, product, and business teams to ensure successful solution delivery. Design AI solutions with scalability, security, explainability, observability, and regulatory compliance as core architectural principles. Drive adoption of engineering best practices, reusable design patterns, and modern AI development methodologies across the organization. Mentor engineering teams and provide technical guidance throughout the solution lifecycle, from architecture through pilot deployment and production rollout. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Service Region: South Asia

Responsibilities

Lead the design and delivery of enterprise-scale AI/ML architectures, including RAG workflows and data ingestion pipelines. Provide technical leadership by establishing architecture standards and mentoring engineering teams through the solution lifecycle.