NielsenIQ: Senior Manager, Engineering — Pune, MH, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Senior Manager, Engineering in Pune, MH, India, under reference R26_0017249|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 12 October 2026
• Brands: NielsenIQ
• Job Family: Software Engineering

Responsibilities and work described

• Senior Manager, AI
• Pune
• This role operates in an open, collaborative, and innovation-driven environment, leveraging modern client and server-side technologies, Generative AI, and Agentic AI to deliver scalable and impactful solutions
• Leadership: the architecture, design, and productionization of scalable microservices and AI-enabled product capabilities from concept through production deployment
• Leadership: AI platform system design and implementation, ensuring robust, secure, maintainable, and well-governed solutions across Java/Spring Boot and Python/FastAPI services where appropriate
• Drive the architecture and delivery of Generative AI and Agentic AI solutions, including MCP-based architectures, agent orchestration, tool integration, intent classification, agent state management, and multi-agent workflows
• Establishment: engineering patterns for integrating LLM APIs, including OpenAI, Azure OpenAI, Anthropic, and equivalent providers, with attention to security, reliability, cost, rate limits, and token efficiency
• Technical guidance: teams in productionizing GenAI use cases such as AI chatbots, summarization, classification, intelligent search, Q&A, and embedding-based retrieval
• Leadership: the design of systems that query and manage large-scale structured and unstructured data, including SQL, NoSQL, MongoDB, SingleStore, and Postgres, with appropriate data modeling and performance practices
• Establishment: architectural approaches for agentic AI systems, embeddings, vector search, context management, caching, latency optimization, and observability for AI enabled applications
• Leverage GitHub Copilot and AI-assisted development tools to accelerate software delivery, improve code quality, and enhance engineering productivity
• Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, including containerized API services
• Participate in all aspects of agile software development, including design, implementation, deployment, sprint planning, and continuous improvement
• Own the end-to-end lifecycle of new product features and components, partnering with product, design, data, and AI engineering stakeholders
• Quality / delivery: application performance, uptime, scale, and reliability while maintaining high standards of code quality, security, and thoughtful application design
• Work: with a cross-functional team on products and features to drive growth and meaningful customer outcomes

Essential requirements and candidate background

• 12+ years of experience in Software development with at least 5+ years of experience in team management
• Experience and knowledge of server-side technologies: Java/ Python, Spring Boot/ FastAPI, SQL, Agentic AI, and API-centric distributed systems
• Hands-on experience designing, building, and leading production-grade Generative AI, LLM, and Agentic AI systems
• Experience: LangChain, LangGraph, OpenAI LLMs, or comparable agent orchestration frameworks
• Understanding: MCP-based AI architectures, including MCP servers, tools, resources, agent-tool interaction patterns, and multi-agent systems
• Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Anthropic, Cohere, Mistral, or equivalent providers
• Knowledge: Python 3.x and FastAPI, Flask, or Django for AI services and REST API integrations, alongside Java/Spring Boot expertise
• Experience: Angular/React and the ability to guide delivery of AI-enabled user experiences in partnership with front-end engineers
• Experience: Docker containers, Kubernetes, and cloud environments such as AWS, Azure, or GCP
• Experience: hybrid MongoDB/Postgres data models and modern DevOps or CI/CD practices
• Experience: large-scale SQL / NoSQL databases, including SingleStore, Postgres, and MongoDB; fluent with relational databases and data modeling
• Deep understanding of RESTful API design, security, scalability, performance, and operational best practices
• Problem-solving and analysis abilities, with the judgment to make sound architecture and delivery trade-offs
• Experience working in agile methodologies and sprint planning
• Must have a bachelor's degree in computer science or equivalent

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Pune, MH, India

Benefits mentioned by the employer

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows
• These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria
• All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion
• Final hiring decisions are made exclusively by humans
• NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations
• If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative
• For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Manager, Engineering vacancy is not an offer for reference R26_0017249|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0017249|IN.

Compare your qualifications and experience with the essential conditions for the Pune, MH, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• SQL
• NoSQL
• Kubernetes
• CI/CD
• Docker
• AWS
• GCP
• Azure
• MCP
• REST APIs
• APIs
• AI/ML
• LLMs
• AI
• maintenance
• stakeholder management
• React
• Angular