🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
AI Developer & Data Engineer Financial Advisory AI Platform Job Title: Senior AI/ML Engineer We are seeking a senior AI Developer and Data Engineer to design, build, and operationalise an Azure OpenAI-powered financial advisory platform serving 15 AI use cases. You will own both the LLM engineering stack and the financial data layer that makes the AI system accurate, explainable, and safe for direct consumer use in a regulated banking environment. Key Responsibilities: Azure OpenAI Framework & LLM Engineering:Design and implement the end-to-end Azure OpenAI deployment architecture.Build the Business Logic Prompt Builder layer: prompt templates, chain-of-thought patterns, and system prompt configurations.Implement RAG pipelines using Azure AI Search and vector stores to ground financial advice in live user transaction data.Design and implement the Validation Layer (Guardrails): out-of-scope detection, hallucination filtering, and Retry/Reject logic.Configure Azure OpenAI Content Filters and custom blocklists aligned to PCI DSS 4.0, GDPR, and banking AI governance requirements.Implement human-in-the-loop controls for high-impact use cases and confidence scoring. Data Engineering & Analytics:Design and build real-time and batch pipelines ingesting transaction data from Oracle DB on Azure, Azure Event Hub, and Kafka-on-AKS.Engineer financial features per use case: rolling spend aggregations, time-series features for balance forecasting, and anomaly detection signals.Build and maintain the RAG knowledge base: curate, chunk, embed, and index financial product data.Implement PII masking, column-level encryption, and full data lineage.Build AI performance analytics: response accuracy dashboards, model input drift detection, and bias monitoring. Security, Compliance & Governance:Enforce no-public-internet AOAI access Private Endpoint, VNet integration, NSG rules, DNS private zones.Implement audit logging for all AI interactions to Azure Log Analytics with PII masking.Own HIGH-priority AI Risk Assessment remediation.Maintain Azure ML model registry, model versioning, and deployment approval pipeline. Tech Stack: Azure OpenAI, Prompt Engineering, RAG/Vector Search, LangChain, Semantic Kernel, Azure AI Search, Python, PySpark, Azure Databricks, Apache Kafka, Azure Event Hubs, Oracle DB, Redis, Azure Data Factory, Delta Lake, Azure Kubernetes Service, CI/CD (Azure DevOps), PCI DSS, GDPR. Requirements: 5 years of experience in AI/software development, with at least 4 years building and shipping production LLM or generative AI applications.Deep hands-on experience with Azure OpenAI Service.Strong data engineering background: real-time streaming, financial-scale batch pipelines, and SQL/PySpark.Experience deploying AI and data workloads on AKS with enterprise security controls.Proven track record implementing guardrails and compliance controls in regulated environments.Experience with MLOps: model versioning, performance monitoring, and CI/CD pipelines.Strong understanding of PCI DSS 4.0, GDPR, and banking AI governance.Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent experience. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.