Application Support Engineer (AI & GenAI Focus)

Accenture’s interview process typically starts with a timed online assessment covering quantitative aptitude, logical reasoning, and coding. Successful candidates move to a technical interview where they are evaluated on Python, AI concepts, system design, and problem‑solving ability. The final HR round focuses on behavioral fit, communication skills, and alignment with Accenture’s values. Preparing with mock tests, revisiting core AI frameworks, and practicing clear articulation of past projects are key to success.

Accenture promotes a collaborative, inclusive culture where learning is continuous and employees are encouraged to experiment with emerging technologies. The firm offers structured career ladders, mentorship programs, and a balanced work‑life environment that adapts to hybrid and remote models.

Graduates with B.E/B.Tech or M.Tech in Computer Science, Artificial Intelligence, Data Science or related streams; minimum 60% aggregate (or equivalent CGPA); 15 years of full‑time education; 0‑3 years of relevant experience; no active backlogs; strong academic record in programming and algorithms.

Round 1: Online Assessment (aptitude, logical reasoning, coding) → Round 2: Technical Interview (AI concepts, programming, system design) → Round 3: HR Interview (behavioral fit, career goals)

Accenture is a global professional services powerhouse that blends deep industry expertise with cutting‑edge digital, cloud, and security capabilities. With over 700,000 employees worldwide, the firm serves clients across more than 40 industries, delivering end‑to‑end solutions through its Strategy, Consulting, Technology, and Operations divisions. In India, Accenture is renowned for its vibrant campus hiring, robust learning ecosystem, and a culture that encourages innovation and continuous upskilling. The company’s commitment to emerging technologies such as Generative AI, data analytics, and intelligent automation makes it an attractive destination for fresh talent looking to work on future‑ready projects. The role of Application Support Engineer (AI & GenAI Focus) is positioned at the intersection of traditional application support and next‑generation AI development. Candidates will act as "software detectives," diagnosing and resolving complex issues in production systems while simultaneously building Retrieval‑Augmented Generation (RAG) pipelines, agentic AI workflows, and micro‑services that power enterprise knowledge platforms. This hybrid responsibility ensures that engineers gain hands‑on experience in both operational stability and innovative product development. Key responsibilities include: designing and deploying Generative AI applications using LangChain and LangGraph; constructing and maintaining RAG pipelines for enterprise document retrieval; troubleshooting critical business components and providing rapid root‑cause analysis; developing scalable micro‑services with NestJS and Python following secure REST API standards; implementing LLM inferencing and vector search pipelines for large‑scale document ingestion; experimenting with emerging AI standards such as the Model Context Protocol; collaborating with cross‑functional teams to translate functional requirements into technical architecture; documenting solutions and contributing to MLOps/LLMOps best practices; and continuously upskilling on new AI frameworks and DevOps tools. The tech stack revolves around Python, Java Full‑Stack, NestJS, LangChain, LangGraph, vector databases, and cloud platforms. Growth paths can lead to senior AI Engineer, Solution Architect, or AI Product Manager roles, with ample mentorship and certification support. Joining Accenture offers exposure to global clients, a collaborative environment, and a clear roadmap for career acceleration in the fast‑evolving AI landscape.