AI Engineer

Wipro; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Wipro is seeking a senior AI/ML leader in Hyderabad to define and drive delivery of machine learning and AI solutions. The role involves building and deploying GenAI/LLM projects, collaborating with cross-functional teams, and guiding a growing data science unit.

You will lead solution architecture, foster demand generation through strategic GTM activities, and mentor engineers while ensuring Responsible AI and security practices across deployments.

Qualifications

• 6-10 years of experience in AI, NLP, ML or software engineering with 2-3 years hands-on GenAI/LLM/Prompt Engineering.

Responsibilities

• Define, architect and lead delivery of machine learning and AI solutions.
• Develop ML/DL models for decision augmentation or automation.
• Collaborate with ML Engineers, Data Engineers and IT on deployment options.
• Lead recruitment, onboarding and training to enhance team capability.
• Ensure compliance with cyber security, data privacy and Responsible AI principles.

Skills

AI/ML

GenAI/LLM

NLP

Python

Java

REST API

DevOps

LangChain/LlamaIndex

RAG

Agentic Frameworks

Cloud (AWS/Azure/GCP)

Prompt Engineering

Transformer Models

Data analysis

Tools

Docker

Git

FastAPI

Job description

Job Description

Job description:

Job Description

Role Purpose

The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions

Do

1. Demand generation through support in Solution development

a. Support Go-To-Market strategy

i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation

ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales

b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses

2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions

a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions

b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options

c. Integrate model performance management tools into the current business infrastructure

3. Team Management

a. Resourcing

i. Support recruitment process to on-board right resources for the team

b. Talent Management

i. Support on boarding and training for the team members to enhance capability & effectiveness

ii. Manage team attrition

c. Performance Management

i. Conduct timely performance reviews and provide constructive feedback to own direct reports

ii. Be a role model to team for five habits

iii. Ensure that the Performance Nxt is followed for the entire team

d. Employee Satisfaction and Engagement

i. Lead and drive engagement initiatives for the team

Deliver

No. Performance Parameter Measure 1.Demand generationOrder booking2.Revenue generation through deliveryTimeliness, customer success stories, customer use case3.Capability Building & Team Management% trained on new skills, Team attrition %

• Design and engineer software with the customer/user experience as a key objective


• Actively contribute to Technology Engineering Practice


• Adhere to all best practice, standards and policies


• Ensure service resilience, service sustainability and recovery time objectives for all the solutions delivered


• Keep up to date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc. that are applicable,including Responsible AI principles (bias, fairness, transparency, safety/guardrails)


• Ensuring compliance with all relevant controls and standards


• Designing and implementing solutions using the technologies listed


• Delivering high performing solutions to complex problems


• Developing the most appropriate IT solutions in line with the solution design, to meet customer needs


• Ensuring continuous improvement with responsibility to write the unit, integration & automation tests,and evaluation pipelines for RAG/agentic systems (retrieval quality, groundedness, task success)


• Working closely with Agile leads, Product Owner, Technical Leads, Data analysts, QA engineers, and Business Analysts throughout the project lifecycle


• Performing & Leading Deployments to various environments using DevOps tools/CICD Pipelines,containerized via Docker


• Technical Leadership skills to guide & mentor junior developers

To be successful in this role, you should meet the following requirements:

• 6-10 years of experience in AI, NLP, ML or software engineering with at least 2-3 years of hands-on work in GenAI/LLM/Prompt Engineering


• Strong Knowledge of LLMs, transformer architecture, and how to interact with models using structured prompting


• Knowledge of different prompting techniques


• Knowledge of NLP techniques like NER, POS, Topic Modelling, KeyPhrase Extraction etc


• Experience with LLM Orchastration frameworks(eg: LangChain/LlamaIndex), RAG and Vector Databases,including end-to-end RAG design: ingestion/chunking pipelines, hybrid search (dense + sparse/BM25), reranking, latency/cost optimization, and guardrails for hallucination/safety


• Experience with Agentic Frameworks (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel),covering tool/function calling, ReAct-style reasoning, routing, planning, memory (short/long-term), multi-agent orchestration, and agent evaluation


• Familiarity with Model Context Protocol (MCP) for standardized tool/context integration across agents


• Knowledge of RAG design patterns


• Understanding of retrieval evaluation metrics such as Recall@k, Precision@k, MRR/NDCG


• Proficiency in Python or Java and familiarity with REST API, FastAPI,with strong Python fundamentals (OOP, decorators, generators/iterators, context managers, async/await)


• Experience building backend services: REST API design, microservices architecture, authentication/authorization (OAuth2/JWT), API security


• Knowledge and experience in use cases such as chatbot development, summarization, text-to-SQL, search augmentation


• Exposure to open-source LLMs like Mistral, LLama etc,and experience with fine-tuning techniques (LoRA/QLoRA, PEFT, instruction tuning)


• Exposure to multimodal/document AI (OCR, layout-aware parsing, vision-language models)


• Working knowledge of at least one cloud platform (AWS/Azure/GCP) for deploying and scaling AI workloads, and version control with Git


• Strong problem solving and experimentation skills


• Keep up to date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc. that are applicable, including Responsible AI (bias, fairness, transparency) and LLM/agentic security practices (guardrails, prompt-injection mitigation, least-privilege access)


• Solid foundation in traditional ML (regression, classification, clustering, feature engineering) alongside base/foundation model concepts (pre-training vs fine-tuning, model selection trade-offs)

ESSENTIAL SKILLS (non-technical)

• Excellent communication skills


• Ability to explain complex ideas


• Ability to work as part of a team


• Ability to work in a team that is located across multiple regions / time zones


• Willingness to adapt and learn new things


• Willingness to take ownership of tasks


• Strong collaboration skills and experience working in diverse, global teams


• Excellent problem-solving skills and ability to work independently and as part of a team

Mandatory Skills: Data Science.

Experience: 5-8 Years.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Requirements