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Job Summary We are looking for an 8+ years of experience AI Solution Engineer to design, build, and deploy enterprise-grade AI applications from concept to production. This hands-on engineering role spans frontend, backend, AI, cloud, and data platforms. The successful candidate will be partnering with business stakeholders, end users, product owners to turn requirements into secure, production-ready AI products. Key Responsibilities Design, build, and deploy end-to-end AI-powered enterprise applications. Create scalable, secure, and maintainable solution architectures. Build solutions with LLMs, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering. Develop and orchestrate multi-agent AI workflows using modern agent frameworks and tool calling. Have Built modern frontends with React, TypeScript, Vite, and Tailwind CSS. Develop backend services and REST APIs with Python, FastAPI, and Flask. Integrate AI applications with enterprise systems, APIs, databases, authentication providers, and business applications. Design and implement Azure Data Lake, ETL/ELT pipelines, Spark/Databricks workflows, and Lakehouse architectures. Deploy and operate cloud-native applications with Azure, Docker, Kubernetes, and CI/CD pipelines. Implement secure authentication with Microsoft Entra ID, OAuth2, JWT, or SAML. Establish AI evaluation frameworks, including regression tests, benchmark datasets, human review loops, and acceptance criteria. Optimize AI applications for latency, scalability, reliability, and cost. Write unit, integration, and end-to-end tests. Partner with end users, product owners, and the Lead Product Engineer to gather requirements, run demos, and incorporate feedback. Ensure Responsible AI, governance, security, compliance, monitoring, and observability. Product End-to-End Delivery Own the full AI product lifecycle, from ideation to production support. Define technical architecture, roadmaps, milestones, and release strategies. Translate business requirements into production-ready AI solutions. Build frontends, backends, AI services, APIs, and data pipelines. Manage production releases, monitoring, and continuous improvement. Create technical documentation and mentor engineers. Required Technical Skills AI/ML: LLMs, prompt engineering, RAG, AI agents, MCP, function calling, semantic search, vector databases, LLM evaluation, and guardrails. Programming: Python, SQL, JavaScript, and TypeScript. Frontend: React, Vite, Tailwind CSS, HTML5, CSS3 Backend: FastAPI, Flask, REST APIs, OpenAPI, Gemma preferred. Data Engineering: Azure Data Lake, Azure Data Factory, Databricks, Spark, Delta Lake, ETL/ELT, and lakehouse architecture. Cloud: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, Azure Functions, Azure App Service, Cosmos DB, Azure SQL, Key Vault, and Azure API Management. DevOps: Git, GitHub, GitHub Actions, Azure DevOps, Docker, Kubernetes, Helm, and CI/CD. Security: Microsoft Entra ID, OAuth2, JWT, and secrets management. Preferred Qualifications 8+ Proven experience delivering enterprise AI products from concept to production. Experience in healthcare or another regulated industry. Experience with HL7 v2, FHIR R4/R5, OMOP CDM, and Epic/Epic Clarity. (Optional) Experience with Model Context Protocol (MCP) Strong communication, stakeholder management, and Agile/Scrum delivery skills.
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.