📍 Location: Bengaluru
🏢 Work Mode: On-site
💼 Role: Applied AI Engineer II
🆔 Requisition: 361270
🎓 Qualification: Bachelor’s degree in a relevant discipline
💻 JD Experience: 6+ years software engineering + 3+ years AI/ML/Agentic AI experience
💰 Expected CTC: ₹18–30 LPA (market estimate; may vary)
⚠️ Important: The opening is described as requiring 6+ years of software engineering experience and 3+ years building AI/ML and agentic applications, even though the promotional summary mentions 2+ years. Candidates should prioritize the detailed qualification requirements.
🏢 About Deloitte
Deloitte is a global professional-services organization operating across consulting, audit and assurance, tax and related services. Its technology and engineering practices work across digital transformation, software engineering, cloud, AI/ML and enterprise product development. Deloitte Engineering emphasizes end-to-end delivery—from strategy and product development through deployment and support.
Deloitte’s Engineering, AI & Data organization specifically works on AI/GenAI applications, data platforms, software engineering, cloud-native solutions and enterprise modernization. Its current technology direction also includes Agentic AI and modern AI engineering practices.
⭐ Why This Role Is Good for Experienced Professionals
The role covers the complete product lifecycle:
✅ Requirement analysis and technical design
✅ AI/ML and GenAI application development
✅ LLM integration and RAG pipelines
✅ AI agent orchestration
✅ Cloud-native architecture
✅ APIs and microservices
✅ Automated testing and quality controls
✅ CI/CD and DevSecOps
✅ Production deployment and operations
✅ AI evaluation and observability
✅ Cost-aware AI engineering
🧑💻 Skills Required
🔹 Python and modern software engineering
🔹 OOP/OOD, data structures and algorithms
🔹 GenAI and LLM application development
🔹 RAG architecture
🔹 Prompt engineering
🔹 Vector databases and embeddings
🔹 AI agent development
🔹 LangChain and LangGraph
🔹 LangSmith/LangFuse or equivalent observability tools
🔹 OpenAI, Anthropic or open-source LLMs
🔹 PyTorch/TensorFlow
🔹 REST APIs and microservices
🔹 SQL/NoSQL
🔹 React/Angular/Node.js exposure
🔹 Java, C#/.NET exposure is advantageous
🔹 Azure/AWS/GCP
🔹 Azure OpenAI, AWS Bedrock or Vertex AI
🔹 Infrastructure-as-Code
🔹 CI/CD and DevSecOps
🔹 MLflow
🔹 GitHub and SonarQube
🔹 Unit testing frameworks
🔹 SRE and observability concepts
🔹 FinOps/cost optimization
🎯 Expected Deloitte Interview Rounds
Round 1 – Recruiter/HR Screening: Expect questions about experience, current and expected CTC, notice period, location, role alignment and your AI/software-engineering background.
Round 2 – Technical AI/Software Engineering: Prepare Python, OOP, data structures, APIs, system design, cloud architecture and your project experience.
Round 3 – GenAI/Agentic AI Deep Dive: Expect detailed discussion around RAG, embeddings, vector databases, prompt engineering, LLM selection, hallucination mitigation, agent workflows and evaluation.
Round 4 – Architecture/Managerial Round: Be prepared to design an enterprise AI solution and explain trade-offs involving scalability, security, latency, reliability and cost.
Round 5 – Leadership/Final HR: Expect behavioral and stakeholder-management questions, communication assessment, compensation and final fitment.
💰 Expected Salary Range
The supplied hiring information indicates an expected CTC of ₹18–30 LPA, but this should be treated as an estimate rather than an official Deloitte compensation range.
For this particular role, compensation can vary considerably because the detailed JD asks for a relatively senior combination of 6+ years of software engineering and 3+ years of AI/ML/agentic application experience. Candidates with strong cloud architecture, production GenAI and enterprise AI experience may have greater negotiating leverage.
🔥 Preparation Tips
💡 Build one complete RAG architecture: Be ready to explain ingestion → chunking → embeddings → vector database → retrieval → reranking → prompt construction → LLM → evaluation.
💡 Prepare an Agentic AI use case: Explain how you would design agents, tools, memory, orchestration, guardrails and failure handling using LangGraph or a similar framework.
💡 Know AI economics: Prepare to discuss token consumption, model selection, caching, batching, latency and cloud infrastructure costs.
💡 Practice system design: Design an enterprise AI assistant with authentication, APIs, vector search, observability, evaluation and production monitoring.
💡 Understand AI evaluation: Prepare metrics and approaches for factuality, relevance, groundedness, hallucination, latency and regression testing.
💡 Revise cloud AI services: Know the basic architecture and trade-offs of Azure OpenAI, AWS Bedrock and Google Vertex AI.
💡 Prepare production stories: Have examples covering deployment, incidents, performance optimization, technical debt and production support.
💡 Think beyond prototypes: The JD strongly emphasizes lean, supportable and maintainable engineering, so explain how you move an AI PoC into production.
📄 Resume Tips for Deloitte
Your resume should position you as an AI Software Engineer, not simply an “AI enthusiast.” Put Python, GenAI, LLMs, RAG, Agentic AI, cloud and software architecture near the top.
For each AI project, describe the architecture and measurable outcome. For example: “Built a RAG-based enterprise assistant using Python, LangChain and vector search, reducing information-retrieval time by X%.”
Highlight production deployment, not only experimentation. Mention APIs, microservices, CI/CD, cloud services, observability, security and testing wherever applicable.
Because this JD specifically emphasizes cost accountability, add measurable information such as token reduction, latency improvement, infrastructure-cost reduction, throughput or inference optimization.
📝 How to Apply
👉 Application Link: Click Here
Search for Deloitte Requisition 361270 – Applied AI Engineer II on Deloitte’s official careers portal and submit your updated resume. Deloitte India maintains an active technology hiring ecosystem across Bengaluru and other Indian locations, including engineering, AI/data and cloud roles.
🚀 Final Thoughts
The Deloitte Applied AI Engineer II role is particularly suited to professionals who can bridge the gap between software engineering and enterprise GenAI. The strongest candidates will demonstrate more than knowledge of LLMs—they will show that they can architect, build, test, deploy, monitor and optimize AI-powered products in production.
If you have the required combination of Python, GenAI, RAG, Agentic AI, cloud-native engineering and production software development, Requisition 361270 is a compelling opportunity to target in Bengaluru. 🤖☁️🚀
