Application Support Engineer

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 : AI Agents & Workflow Integration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Role Summary We are seeking a Generative AI Engineer with strong hands-on experience in Databricks and AWS to design, build, and scale LLM-powered, agentic AI solutions for enterprise-grade use cases. The role involves developing intelligent agents, RAG pipelines, and AI-driven data products that are production-ready, scalable, secure, and cost-efficient. Key Responsibilities Design and develop GenAI and Agentic AI solutions using LLMs for enterprise use cases Build RAG pipelines leveraging structured and unstructured data (documents, PDFs, logs, metadata) Implement AI agents and workflows using AWS Agent Core / Bedrock and orchestration frameworks Develop GenAI applications on Databricksusing notebooks, jobs, and scalable compute Integrate GenAI solutions with data lakes, lakehouse, and enterprise systems Optimize solutions for latency, accuracy, cost, and scalability Implement prompt engineering, prompt chaining, and guardrails Work closely with data engineers, architects, and business stakeholders to translate requirements into AI-driven solutions Contribute to AI governance, observability, and responsible AI practices Support deployment, monitoring, and continuous improvement of GenAI systems in production Must-Have Technical Skills GenAI / LLM Hands-on experience with LLMs (Claude, OpenAI, Llama, etc.) Strong knowledge of RAG architectures, embeddings, vector search Experience building agentic workflows(planning, tool use, reasoning loops) Prompt engineering, few-shot / chain-of-thought techniques Databricks Strong experience with Databricks Lakehouse PySpark, SQL, Delta Lake Databricks workflows / jobs MLflow for experimentation and model tracking Unity Catalog (preferred) AWS AWS Bedrock (models, inference, agents) AWS Agent Core or agent orchestration patterns Lambda, API Gateway, S3 IAM, security best practices for AI workloads Programming Python (advanced) SQL APIs and microservices integration Good-to-Have Skills LangChain / LangGraph / DSPy or similar frameworks Vector databases (OpenSearch, FAISS, Pinecone, etc.) LLMOps / MLOps exposure CI/CD for AI applications Knowledge of AI governance, compliance, and security Experience working in client-facing / consulting environments 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.