IN_Senior Associate_ APA Developer_Agentic Automation_Advisory_Noida
IN_Senior Associate_ APA Developer_Agentic Automation_Advisory_Noida
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
Senior AssociateJob 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 forour 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 foreach 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 firms growth. To enable this we have zero tolerance for any 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 (e.g. MCP A2A) 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 (e.g. LLaMA) and closed-source LLMs (e.g. OpenAI Gemini Vertex AI) 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 (e.g. 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. Experience: o 4 years of hands-on experience in AI/ML generative AI or automation development. o Proven expertise in agentic frameworks like LangGraph AutoGen CrewAI and multi-agent systems. o Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. o Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI Gemini Vertex AI). Technical Skills: o Advanced proficiency in Python and relevant libraries (LangChain Transformers Pandas PyTorch Scikit-learn). o Strong SQL skills for querying and managing databases (e.g. PostgreSQL MongoDB). o Familiarity with CI/CD tools (e.g. Jenkins GitHub Actions) Git workflows and containerization (e.g. Docker Kubernetes).
o Experience with Linux (Ubuntu) and cloud platforms (AWS Azure Google Cloud) for deploying automation solutions. o Knowledge of automation tools (e.g. UiPath Automation Anywhere) and workflow orchestration platforms. Soft Skills: o Exceptional communication skills to articulate technical concepts to non-technical stakeholders. o Strong problem-solving and analytical skills to address complex automation challenges. o Ability to work collaboratively in a fast-paced client-facing environment. o Proactive mindset with a passion for adopting emerging 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 intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI cloud platforms or automation technologies (e.g. AWS Certified AI Practitioner RPA Developer).
Mandatory skill sets:
Agentic LLM RAG AIML LangGchain
Preferred skill sets:
Agentic LLM RAG AIML LangGchain Gen AI
Years of experience required:
4-7 Years
Education qualification:
(if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
APA Style Large Language Model (LLM) Fine-Tuning Python (Programming Language)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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
