About this role
Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Generative AI Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education
Professional & Technical Skills
Must Have Skills:
Generative AI (GenAI) Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Prompt Engineering Natural Language Processing (NLP) Semantic Search Text Classification Entity Extraction Sentiment Analysis Python Development FastAPI / Flask AWS Cloud Services MLOps AI Model Deployment
Good to Have Skills:
Agentic AI AI Agents & Workflow Integration LangChain LangGraph CrewAI AutoGen Semantic Kernel Vector Databases (FAISS, ChromaDB, Pinecone) React.js Docker Terraform CI/CD GitHub Actions PySpark ETL Development
Roles & Responsibilities
- Design, develop, and deploy Generative AI solutions for enterprise applications. - Build and maintain RAG-based applications and AI-powered workflows. - Develop NLP solutions including semantic search, text classification, entity extraction, and sentiment analysis. - Design and implement AI pipelines, model orchestration, and deployment frameworks. - Integrate LLMs and AI services with business applications and APIs. - Build scalable backend services using Python, FastAPI, and cloud-native technologies. - Develop and optimize AI models for performance, scalability, and reliability. - Work with AWS services for AI solution deployment and operations. - Collaborate with cross-functional teams to deliver production-grade AI solutions. - Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. - Mentor team members and contribute to AI adoption and innovation initiatives. Candidate Search Keywords
Generative AI, GenAI, LLM, Large Language Models, RAG, Prompt Engineering, NLP, Semantic Search, LangChain, LangGraph, CrewAI, AutoGen, Agentic AI, Python, FastAPI, AWS, MLOps, Vector Database, FAISS, ChromaDB, Pinecone, React, Docker, Terraform.
Ideal Candidate Profile - 5+ years of software engineering experience. - Strong hands-on experience in Generative AI and LLM-based applications. - Experience building RAG pipelines and AI-powered enterprise solutions. - Strong Python development skills. - Experience with AWS cloud services and AI deployments. - Knowledge of MLOps and production AI systems. - Ability to work across full-stack and AI engineering environments.
15 years full time education
About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.