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About this role
Role Purpose
Design, build, test, and operate enterprise AI and Generative AI capabilities supporting Mashreq s AI CoE, Agentic AI Ecosystem, Enterprise AI Platform, and Trade Virtual Assistant. The role delivers secure, reusable, and observable AI services aligned with Mashreq s AI Strategy, engineering standards, and digital transformation priorities.
Key Responsibilities
Strategic Responsibilities
- Contribute to reusable AI engineering patterns, platform accelerators, and technical standards.
- Assess suitable LLM, RAG, agent, MCP, tool-calling, and function-calling approaches against business and non-functional needs.
Delivery Responsibilities
- Develop Python-based AI services, prompt workflows, RAG pipelines, embeddings, retrieval, AI agents, and multi-agent components.
- Configure and integrate Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, AKS, Azure API Management, and Microsoft Fabric.
- Implement APIs, tool integrations, function calling, data connectors, automated tests, evaluation datasets, CI/CD, and MLOps pipelines.
- Monitor quality, latency, reliability, safety, and cost; investigate defects and support controlled production releases.
- Produce maintainable code, technical documentation, deployment instructions, and operational runbooks.
Governance Responsibilities
- Apply Responsible AI, security, privacy, compliance, access-control, content-safety, and data-handling requirements.
- Maintain traceability for prompts, models, retrieval sources, evaluations, changes, and releases.
- Support architecture, security, risk, and governance reviews and remediate identified control gaps.
Stakeholder Management Responsibilities
- Work with the Senior AI Engineer, AI Architect, product owners, business analysts, data teams, platform teams, and vendors.
- Explain engineering progress, dependencies, risks, and technical choices clearly to delivery stakeholders.
Required Experience
- 5-7 years in software, data, ML, or AI engineering with hands-on enterprise delivery.
- Practical experience with GenAI, LLMs, prompt engineering, RAG, AI agents, multi-agent systems, MCP, tool calling, and function calling.
- Hands-on Azure AI experience including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, AKS, Azure API Management, and Microsoft Fabric.
- Experience with Python, APIs, containers, CI/CD, MLOps, observability, testing, and enterprise integration.
- Banking or financial-services exposure preferred, including retail, corporate, trade finance, digital banking, risk, or compliance.
Required Skills
Skill Group
Required Skills
Technical Skills
Python; LLM application development; Prompt engineering; RAG; AI agents; Multi-agent systems; MCP; Tool calling; Function calling; Automated evaluation
Platform Skills
Azure OpenAI; Azure AI Foundry; Azure AI Search; Azure Functions; AKS; Azure API Management; Microsoft Fabric; Git and CI/CD
Integration Skills
REST APIs; Data connectors; Event integration; Authentication and authorization; Enterprise application integration
Governance Security Skills
Responsible AI; AI governance; Security and compliance; MLOps; Observability; Model and prompt monitoring; Enterprise standards
Leadership / Business Skills
Problem solving; Agile delivery; Documentation; Collaboration; Clear stakeholder communication
Preferred Tools and Certifications
Certification
Relevance
Requirement
Microsoft Certified: Azure AI Engineer Associate
Build and deploy AI solutions on Microsoft Azure.
Preferred
Microsoft Certified: Azure Fundamentals
Demonstrate foundational Azure cloud knowledge.
Preferred
Generative AI Certification
Apply LLM, prompt, RAG, and responsible GenAI practices.
Preferred
Python Certification
Demonstrate applied Python programming capability.
Preferred
Education
Bachelor s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related discipline is mandatory. A Master s degree is preferred.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Agileai strategyAzure Aiapisai servicesAksai engineerAzure Api ManagementAgile Deliveryai governanceArchitectureApplication DevelopmentAi PlatformAi SolutionsMicrosoft AzureArtificial Intelligence
About Crisil
Crisil
Analytics & KPO
4.7k+
employees
1987
39 years old
Mumbai,Maharashtra
India
About
Crisil is an agile and innovative, global analytics company driven by its mission of making markets function better.
Industries
Analytics & KPOInternet
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