Senior Full Stack AI Engineer - Generative and Agentic AI

IN_Senior Associate_Full Stack Agentic AI Engineer_Data and Analytics_Advisory_Pune

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*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 Description & Summary:  

We are seeking a highly skilled and motivated Full Stack AI Engineer to join our team as a Senior Associate. In this role, you will work on cutting-edge technologies, focusing on Generative AI (GenAI) and Agentic AI solutions. You will play a critical part in building, deploying, and managing AI-powered applications, utilizing tools like FastAPI, Python, Angular, Django, and Azure AI Foundry. If you are passionate about AI and have a strong full-stack development background, this is the opportunity for you! 

 

Responsibilities: 

• Design, develop, and deploy full-stack AI applications using FastAPI, Python, Angular, Django, and Azure AI Foundry. 

• Focus on building innovative solutions with Generative AI (GenAI) and Agentic AI technologies. 

• Collaborate with cross-functional teams to define, design, and deliver high-quality software solutions. 

• Ensure the scalability, reliability, and security of AI-driven systems. 

• Stay updated with the latest advancements in AI technologies and integrate them into ongoing projects. 

• Debug and resolve technical issues to improve application performance. 

 

Mandatory skill sets: 

• Classical ML, Forecasting, timeseries analysis , Databricks Genie , Databricks 

Preferred skill sets: 

• Proficiency in Python, FastAPI, Angular, and Django frameworks. 

• Hands-on experience working with Agentic AI and Generative AI frameworks. 

• Familiarity with Azure AI Foundry or similar cloud-based AI platforms. 

• Strong understanding of software development best practices and design patterns. 

• Ability to troubleshoot and solve complex technical challenges. 

• Excellent communication and teamwork skills 

• While no specific sector expertise is required, candidates with experience in AI-driven product development, cloud-based solutions, or enterprise-level software applications will have an advantage. 

 

Years of experience required: 

4-10 Yrs 

Education qualification: 

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) 

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Full Stack Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 18, 2026

Experience Level

Senior Level