IN_Senior Associate_ APA Developer_Agentic Automation_Advisory_Noida

PwC; Dadri; On-site; INR 4,50,000 - 6,75,000; Full time

Job summary

A leading consulting firm in Uttar Pradesh is seeking an experienced Agentic Automation Engineer to develop intelligent automation solutions using cutting-edge frameworks. This role requires expertise in Python and generative AI, focusing on automating business processes. The ideal candidate will have over four years of experience in AI/ML and proficiency in modern automation tools. Join us in driving innovation and operational efficiencies for our clients.

Qualifications

• 4+ years of hands-on experience in AI/ML, generative AI, or automation development.
• Experience building and deploying RAG-based solutions.
• Technical Skills: Advanced proficiency in Python and relevant libraries.

Responsibilities

• Design and develop agentic automation workflows.
• Build and optimize RAG pipelines.
• Integrate open-source LLMs and closed-source LLMs.

Skills

Python

Agentic frameworks (LangGraph, AutoGen, CrewAI)

RAG (Retrieval-Augmented Generation)

SQL

Generative AI techniques

Education

B.Tech/MBA

Tools

Docker

Kubernetes

Job description

Overview

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Operations

Management Level: Senior Associate

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.

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

Job Description & Summary: The Agentic Automation Engineer will develop and implement intelligent automation solutions using agentic frameworks like LangGraph, AutoGen, and CrewAI, integrating generative AI and Retrieval-Augmented Generation (RAG) techniques. This role requires deep expertise in Python, generative AI, and both open-source and closed-source LLMs, along with proficiency in databases and modern automation tools. The ideal candidate will collaborate with cross-functional teams to deliver scalable, high-impact automation workflows that enhance business processes.

Responsibilities

• Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems to automate complex business processes.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks.
• Integrate open-source LLMs and closed-source LLMs to power agentic systems and generative AI applications.
• Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development.
• Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions.
• Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases.
• Query and manage databases (SQL, NoSQL) for data extraction, transformation, and integration into automation workflows.
• Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation.
• Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge.
• Ensure scalability, security, and performance of deployed automation solutions in production environments.

Qualifications & Experience

• Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development.
• Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems.
• Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications.
• Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI).
• Technical Skills: Advanced proficiency in Python and libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn); strong SQL skills; familiarity with CI/CD tools, Git workflows, and containerization (Docker, Kubernetes).
• Cloud and Data: Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud); knowledge of automation tools (UiPath, Automation Anywhere).
• Soft Skills: Excellent communication, problem-solving, collaboration in fast-paced client-facing environments, and proactive adoption of new technologies.

Preferred Qualifications

• Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems.
• Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation.
• Exposure to enterprise-grade automation platforms or IPA solutions.
• Contributions to open-source AI/automation projects or relevant publications.
• Certifications in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer).

Mandatory & Preferred Skills

• Mandatory: Agentic, LLM, RAG, AIML, LangGchain
• Preferred: Agentic, LLM, RAG, AIML, LangGchain, Gen AI

Experience & Education

• Years of experience required: 4-7 Years
• Education qualification: B.Tech/MBA
• Education Degrees/Field of Study required: MBA, BTech; Degrees/Field of Study preferred:
• Certifications (if blank, certifications not specified)
• Required Skills APA Style, Large Language Model (LLM) Fine-Tuning, Python
• Optional Skills Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation-related skills and tools, Blue Prism, Business Analysis, C++

Travel Requirements: Not Specified

Available for Work Visa Sponsorship?: No

Government Clearance Required?: No

Job Posting End Date