Role : AI Engineer – Applied AI & Automation

About the Role
We are hiring an AI Engineer who turns AI ideas into working, governed solutions that business teams use every day. You will design, build and run AI-powered applications, data pipelines, automated workflows and marketing technology (martech) on the Microsoft stack, owning each initiative from problem framing to Production. This is a hands-on role with high visibility. You will work independently, partner directly with senior business stakeholders, and help shape how an investment holding company adopts AI across its portfolio and operations.

Key Responsibilities
AI application development Design, build and deploy AI-powered apps and agents using Azure OpenAI, Azure AI Foundry, Copilot Studio and custom code (Python, C# or TypeScript). Build retrieval-augmented generation (RAG) solutions over enterprise content in SharePoint, Dataverse and Fabric, with prompt design, evaluation and guardrails. Develop agentic workflows that execute multi-step business processes with human-in-the-loop Data and automation pipelines Build and maintain reliable data and AI pipelines using Azure Data Factory, Microsoft Fabric, Synapse and Power Automate. Automate finance, investment-operations and reporting processes end to end across Power Platform, Dynamics 365 and Microsoft 365. Apply monitoring, logging, versioning and CI/CD (Azure DevOps or GitHub) so every solution is Marketing technology and customer engagement Build and integrate martech solutions across CRM, customer data and marketing automation platforms (for example Dynamics 365 Customer Insights, HubSpot, Salesforce Marketing Cloud, Klaviyo), email, web analytics and advertising tools. Apply AI to marketing: audience segmentation, personalisation, lead and propensity scoring, campaign content generation and customer-journey automation across our leisure and entertainment brands.



Unify customer and campaign data into trusted pipelines and Power BI dashboards that show attribution, conversion and return on marketing spend. 1 | P a g e This file has been converted from its original format for security purposes. Please use C939BAC430ADE as a reference. Delivery and stakeholder management Run discovery sessions with business leaders, translate needs into transparent requirements, and prioritise by value and feasibility. Manage your own delivery plan: scope, timelines, risks and status updates to senior stakeholders, including C-level. Demo, train and hand over solutions; drive adoption with AI Champions across business units. Governance, security and continuous improvement Embed responsible-AI, data privacy and access-control practices, aligned with UAE regulatory and company policy. Document architecture, runbooks and decisions so solutions are maintainable by others. Track usage, accuracy and business impact; iterate and retire what does not deliver value. Evaluate new Microsoft AI capabilities and recommend where to adopt them. Minimum Qualifications & Experience 4–5 years building and deploying AI, ML, data or automation solutions in a business setting, with at least two solutions live in production. Bachelor’s degree in Computer Science, Data Science, Engineering or a related field; Master’s is a Proven record of delivering independently, from ambiguous business problem to adopted solution. Technical skills AI and LLMs: Azure OpenAI, Azure AI Foundry, prompt engineering, RAG, agent frameworks, model Programming: Strong Python; working knowledge of SQL and one of C#, TypeScript or JavaScript. Microsoft automation: Power Automate, Power Apps, Copilot Studio, Dataverse, SharePoint, Microsoft Graph API. Data and pipelines: Azure Data Factory, Microsoft Fabric or Synapse, Power BI, ETL/ELT design. Business systems: Dynamics 365 integration; REST APIs, connectors and webho…

📌 AI Engineer – Applied AI (India)
🏢 Forcecraver Technologies
📍 India