Senior Manager _Prompt Engineer_Pune

Aggregate function:  Shared Services
Business Area:  Business Operations_VSOL
Posting Country:  India
Date Posted:  3 Feb 2026
Full Time / Part Time:  Full Time
Contract Type:  Permanent

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. 

We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

About VOIS

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

About this Role

The Prompt Engineer will play a vital role in designing, shaping, and optimising conversational experiences that power TOBi, Vodafone’s advanced AI‑driven digital assistant. As part of an interdisciplinary team of conversation analysts and developers, the individual will translate complex business and user needs into effective prompt architectures suitable for channel‑agnostic conversational AI systems.
This hands-on position requires strong technical, linguistic, and conceptual design capabilities, enabling the individual to build intelligent, context‑aware, and responsible AI interactions. The role contributes to establishing best‑in‑class standards for prompt engineering and conversational AI practices across the organisation.

Who you are

An individual experienced in designing and optimising prompts for large language models to achieve accurate, engaging, and contextually aligned responses.Someone who is comfortable crafting multi‑turn dialogue flows while maintaining context and coherence throughout interactions.A professional skilled in Python scripting with an understanding of LLM APIs, prototyping, and integrating prompt workflows.A collaborator who thrives in cross‑functional environments and values diversity, ethics, and responsible AI principles.An individual committed to safe, inclusive, and bias‑free conversational design.

What you will do

Design and Optimise Prompts: Create structured, context‑sensitive prompts that produce accurate, consistent, and engaging LLM‑based interactions across diverse use cases.Engineer Conversational Flows: Develop multi‑turn dialogue strategies that maintain continuity, clarity, and user intent throughout the interaction lifecycle.Collaborate Across Teams: Partner with AI/ML engineers, UX designers, product managers, and conversation specialists to integrate prompt architectures into broader conversational AI systems.Testing and Iteration: Conduct A/B testing, user simulations, and data‑driven evaluations to refine prompt performance and improve accuracy, coherence, and engagement.Tune Model Behaviour: Apply techniques such as few‑shot prompting, chain‑of‑thought reasoning, and responsible guardrails to enhance output reliability.Champion Ethical and Safe AI: Ensure all conversational designs align with responsible AI frameworks, covering bias mitigation, transparency, and user safety.

What skills you need

Expertise in designing, evaluating, and optimising prompts for LLMs such as Azure OpenAI, OpenAI GPT, Anthropic Claude, and Cohere.Strong programming capabilities in Python, including prototyping, prompt orchestration, API integration, and JSON handling.Deep understanding of Conversational AI principles, including NLP/NLU, dialogue management, intent recognition, and entity extraction.Practical knowledge of techniques such as few‑shot prompting, chain‑of‑thought reasoning, prompt evaluation, model behaviour tuning, and RLHF.Familiarity with Agile methodologies, version control practices, prompt management tools, and responsible AI principles.Educational background in Artificial Intelligence, Computer Science, Computational Linguistics, or related areas.

What skills you will learn

Advanced conversational architecture design across multimodal interfaces.Scalable GenAI prompt management and evaluation methodologies.Ethical AI frameworks applied to real‑world conversational ecosystems.Best‑practice integrations between LLMs, product workflows, and enterprise‑grade AI systems.Techniques for maintaining context and coherence across complex, multi‑turn interactions.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

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