About this role
About the Role
As an Azure AI Engineer (Generative AI specialization), you will design, develop, and deploy AI, ML, and agentic AI solutions within the Azure ecosystem. You’ll collaborate with cross-functional teams to build enterprise-grade AI applications leveraging Large Language Models (LLMs), Generative AI, and Agentic AI architectures.
Key Responsibilities
- AI Solution Design:
- Translate business requirements into full-stack Azure AI solutions using Azure AI Services, Azure AI Search, Azure OpenAI, Cosmos DB, Copilot Studio, and RAG patterns.
- Design multi-step prompt workflows, intelligent agents (task/role-based), and apply Responsible AI principles.
- Build dynamic UIs for chatbots and dashboards using React.js.
- AI Development:
- Orchestrate prompts and tools using PromptFlow and Azure AI Foundry.
- Extend Microsoft Copilots via Copilot Studio, Graph Plugins, and build custom AI agents using plugin architecture, API function calling, and memory constructs.
- Implement LLM-based orchestration with LangChain, Semantic Kernel, or similar frameworks.
- Deploy solutions using Azure Functions, Container Apps, Blob Storage, and Cosmos DB.
- Utilize Git/Azure DevOps for CI/CD and containerized deployments.
- Monitoring & Observability:
- Define metrics for prompt effectiveness and model behavior.
- Implement logging, tracing, and observability using Azure App Insights and Cosmos DB Logs.
- Troubleshoot performance bottlenecks and mitigate hallucinations/data drift.
- Data Governance:
- Collaborate with data engineers on pipelines for chunking, enrichment, and reinforcement learning.
- Ensure data quality, integrity, and security throughout the lifecycle.
- Collaboration & Innovation:
- Communicate technical designs and updates to stakeholders.
- Stay current on Generative AI, Agentic AI, and emerging frameworks.
- Promote continuous learning and experimentation.
Qualifications
- Education: Bachelor’s in computer science, Engineering, or related field (or equivalent experience).
- Experience:
- 4+ years in AI/ML engineering with production-grade deployments.
- 2.5+ years hands-on with Azure OpenAI or similar LLM APIs.
- Expertise in Python, LangChain, Semantic Kernel, PromptFlow, and cloud-native design.
- Experience with Azure AI Services, Copilot Studio, AI Foundry, Cosmos DB, and containerization (Docker/Kubernetes).
- Knowledge of LLMOps, prompt tuning, RAG, and Responsible AI.
- Preferred:
- Azure certifications (AI Engineer Associate, Solutions Architect).
- Experience with GraphRAG, caching, reinforcement learning architectures.
- Proficiency in React.js and BI tools (Power BI, Tableau).
Argano is the first of its kind: a digital consultancy totally immersed in high-performance operations. We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth.
Other facts
About Argano
Argano is the world’s first and largest digital services consultancy focused exclusively on enabling high performance across our clients’ business operations, at scale and around the globe. Forged from world-class specialist consultancies with decades of enterprise technology, data, cloud, AI and operations expertise, Argano supports the full transformation agenda through strategy, design, execution, and ongoing managed services. We modernize and optimize core functions across customer engagement and service, revenue management, finance and planning, supply chain, and workforce optimization. Our promise to clients is maximizing their growth, profitability, commercial agility and customer satisfaction, guaranteed.
What you'll do
- The Azure AI Engineer will design, develop, and deploy AI solutions within the Azure ecosystem, collaborating with cross-functional teams to build enterprise-grade applications. Key tasks include orchestrating prompts, implementing LLM-based orchestration, and ensuring data quality and security.
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