Senior Staff Engineer (AI Solution Design)

Nagarro; Mumbai; On-site; INR 4,000,000 - 8,500,000; Full time

Job summary

jobr.pro is seeking an experienced AI/ML Solutions Architect to lead enterprise-scale AI initiatives in Mumbai. You will design end-to-end AI architectures, including RAG workflows, data pipelines, and LLM-based solutions, while guiding engineering teams and ensuring governance.

The role requires deep expertise in AI solution design, scalable systems, and collaboration with business, compliance, and IT stakeholders to deliver production-ready platforms.

Qualifications

• 7.5+ years of experience in senior technical roles.
• Experience designing and delivering enterprise-scale AI/ML solutions.
• Strong expertise in AI application solution design and scalable architectures.
• Hands-on experience with RAG workflows, vector databases, and LLM evaluation frameworks.

Responsibilities

• Lead discovery workshops with business, compliance, assurance, and IT stakeholders.
• Design end-to-end AI application architectures including data ingestion, ML, LLMs, RAG, APIs, and layers.
• Define architecture blueprints, API contracts, and data flow documentation.
• Establish architecture standards and governance for enterprise AI platforms.
• Provide technical leadership, architecture reviews, and guide engineering teams.

Skills

AI/ML strategy

Enterprise architecture

RAG workflows

Vector databases

LLMs

MLOps

Python

REST APIs

Distributed systems

Stakeholder management

Education

Bachelor’s or Master’s in CS/IT

Tools

Databricks

Delta Lake

MLflow

Model registry

Job description

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.