Senior Consultant - Data & AI
Orange is hiring a Senior Consultant - Data & AI in Gurugram, India. Level rates it ; you can apply on Orange.
Level's read on this job
- Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions prompt engineering and RAG among its tools and skills.
- Level classes it as a senior role.
- Orange has 925 other open roles on Level.
- Posted in the last few days.
AI in this role
Publication date : Nov 12, 2026, 12:00AM
Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
YOUR ROLE:
We are seeking an experienced Senior Consultant - Data & AI at Orange Business to design and deliver data solutions, including Power BI, Microsoft Fabric, Python, SQL, ETL, AI/ML applications, Generative AI, and Agentic AI. The role involves partnering with business stakeholders to turn data into actionable insights and scalable solutions.
Identify business opportunities for AI/ML, such as forecasting, classification, recommendation, anomaly detection, and process automation. Prepare and explore data for modeling, including feature engineering and data quality checks. Monitor model performance, accuracy, bias, and data drift; recommend retraining or improvements. Communicate model outputs, limitations, and business impact in clear, practical terms.
Build Generative AI applications using LLMs, prompt engineering, and RAG.
Design agentic AI workflows that use tools and data to complete business tasks, with appropriate safeguards and human oversight
He will be responsible for Database Management. Database Management, Retention, Sharing & Security will be the core responsibility.
Data Visualization (PowerBI, Microsoft Fabric) includes License management, Virtual proxies, Certificates, upgrade of the platform.
Project Documentation (High-level flow description, special cases). Documentation should be simple / clear which can be leveraged by new Joiners / Handover.
Main missions:
- Gather business requirements and translate them into data and analytics solutions.
- Design, develop, and maintain Power BI, MS Fabric dashboards, reports, and data models.
- Use Python for data analysis, automation, and AI/ML development.
- Backend Development usingDjango, FastAPI, Flask.
- Build and optimize ETL/ELT pipelines for integrating data from multiple sources.
- Apply data modelling, validation, and quality standards.
- Develop and support AI/ML solutions, including predictive analytics and forecasting.
- Monitor solution performance and troubleshoot data and reporting issues.
- Present insights and recommendations to technical and non-technical stakeholders.
- Follow security, governance, and documentation standards.
Technical skills:
Primary:
- 8+ years’ experience onin data, analytics and AI.
- Strong hands-on skills in Power BI, Microsoft Fabric, Python, Django, FastAPI and ETL.
- Practical experience with AI/ML, Generative AI, LLMs, Prompt Engineering, RAG and Agentic AI.
- Strong SQL, Postgresql,data modeling, and data warehousing knowledge.
- Experience deploying or monitoring machine learning models.
- Strong DevOps knowledge onGitHub, GitLab, GitLab CI/CD, Docker, Kubernetes, AWX, Ansible.
Secondary
- Experience with Azure. – Good to have
- Knowledge of IT infrastructure and Cloud
- OS: linux
- DataGovernance:Dataiku – Good to have
Soft skills
- Good understanding of Agile values, principles & practices
- Team working skills
- Good Communication (Written/Oral)
- Customer Experience Focus
- Fluent english speaker
Certifications:
Relevant certifications in Power BI, Python, AI/ML.
You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
- Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
- Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
- Professional Development: Training programs and upskilling/re-skilling opportunities.
- Career Growth: Internal growth and mobility opportunities within Orange.
- Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
- Reward Programs: Employee Referral Program, Change Maker Awards.
At Orange, only your skills matter.
Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
How we rate this
Senior Consultant - Data & AI at Orange rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI consultant jobs at this level
Pay
- Typical AI consultant job
- $151k
This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt engineering and RAG. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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