PwCPosted 1w ago

IN_Senior Associate_Microsoft Azure_Digital Integration_Advisory_Kolkata

IN_Senior Associate_Microsoft Azure_Digital Integration_Advisory_Kolkata at PwC scores 12 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Kolkata Y-14midFull time

AI in this role

semantic-kernelscikit-learn

prompt-engineeringnlp

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Microsoft

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Summary-

We are looking for experienced GEN AI software developers with:

*strong analytical and problem-solving abilities

*ability to coordinate with multiple teams and ensure smooth coordination

*experience with migrating legacy enterprise apps into microservice architecture along with data migration

*ability to prioritize tasks and manage time effectively to meet deadlines

*good verbal and written communication skills

*ability to work collaboratively in a team setting

Responsibilities:

We are looking for a talented Microsoft full stack engineer development Specialist with a robust technical foundation to join our team. Experience: 3-7 years working Azure AI Services/ Azure Cognitive Services with a demonstrated track record of working with Azure App Development leveragring the Azure services and managing deployments using Azure Kubernetes Services(AKS). AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming: Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions.

Mandatory skill sets: Microsoft Azure, Microsoft full stack engineer

Preferred skill sets: AI/ML Developer Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS)./Gen AI

Years of experience required:  

3-6 Years

Education qualification:  

B.E. / B.Tech / MBA. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 30, 2026

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringNlpSemantic Kernelscikit-learn

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What are the limits of Semantic Kernel that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?

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List these exact terms on your resume: Prompt Engineering, Nlp, Semantic Kernel, and scikit-learn. An applicant tracking system matches the wording, not the idea.
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