IN_Senior Associate_Automation Developer_Agentic Automation_Advisory_Pune at pwc

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

0.0

Posted On

07 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, LangChain, LangGraph, AutoGen, RAG Design, Guardrail Techniques, CI/CD, Containerization, Cloud-Native Deployment, React, ReactFlow, Next Js, Node Js, Observability Tooling, Open-Source Contributions

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations 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. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *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: A career within…. Responsibilities: Job Description & Summary A career within our Agentic AI team will provide the opportunity to design, develop, and implement end-to-end agentic AI solutions. You’ll work with various agentic frameworks, Retrieval-Augmented Generation (RAG), guardrail design, and full-stack implementations. Responsibilities - Gather business requirements and translate them into agentic workflows. - Develop and orchestrate AI agents using LangChain/LangGraph/Google ADK/AutoGen. - Implement RAG pipelines and memory-augmented workflows. - Define structured data models with Pydantic. - Implement guardrails using JSON Schema, regex, LLM-as-judge. - Integrate APIs, enterprise apps, and MCP/A2A protocols. - Build dashboards and microservices (FastAPI, Python, ReactFlow). Associate: Contribute hands-on code, integrations, testing. Sr. Associate: Lead small teams, own sub-modules, mentor juniors. Manager: Own delivery roadmap, oversee multi-team orchestration, engage with senior stakeholders. Mandatory Skill Sets - Strong Python & FastAPI development along with knowledge of well known libraries like Pandas, Pydantic etc. - Hands-on with agent frameworks (LangChain, LangGraph, AutoGen, Google ADK). - RAG design and implementation. - Guardrail techniques (JSON Schema, regex, LLM-as-judge). - CI/CD, containerization, cloud-native deployment. Preferred Skill Sets - Knowledge of MCP server / A2A protocol. - Observability tooling (LangSmith, framework metrics). - Full-stack exposure (React, ReactFlow, Next Js, Node Js etc.). - Open-source contributions. Years of Experience Associate: 2–5 yrs Sr. Associate: 5–8 yrs Manager: 12–15 yrs Education Qualification Bachelor’s in Computer Science / Engineering / AI/ML (Master’s preferred for senior levels). Mandatory skill sets: Agentic Automation Developer Preferred skill sets: Agentic Automation Developer Years of experience required: 4-8 Education qualification: Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Automation Development Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement {+ 36 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 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

The role involves designing, developing, and implementing end-to-end agentic AI solutions, including gathering business requirements and developing AI agents. Responsibilities also include implementing RAG pipelines and integrating APIs.