Live opening · Posted 10 days ago
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Role Overview
GeakMinds is looking for a hands-on AI Solutions Architect who can understand complex business problems and convert them into secure, scalable, production-ready AI solutions.
The role will focus on solutions such as:
RFP, quotation and sales-proposal automation
Sales intelligence and revenue planning
Supply-chain forecasting and optimization
Customer-service and agent-assist platforms
Finance, compliance and document intelligence
Enterprise knowledge assistants
Cloud operations and cost optimization
Responsibilities
Conduct business discovery and translate requirements into solution architecture.
Identify opportunities for GenAI, agents, ML, analytics or optimization.
Own delivery from requirements and HLD/LLD through implementation and production.
Design AI agents with tool use, workflow orchestration, human approvals and exception handling.
Architect RAG, enterprise search, APIs, integrations, data pipelines and cloud infrastructure.
Integrate solutions with CRM, ERP, finance, supply-chain and customer-service systems.
Establish security, RBAC, governance, evaluation, observability and cost controls.
Lead architecture and code reviews while remaining technically hands-on.
Mentor engineering teams and communicate solutions to business and executive stakeholders.
Define measurable outcomes such as revenue improvement, cost reduction, productivity or cycle-time savings.
Required Skills
8+ years in software, cloud, data or AI engineering.
Strong solution-architecture and business problem-solving experience.
Proven ownership of at least two enterprise solutions from discovery to production.
Hands-on Python, FastAPI, REST APIs, SQL and microservices.
Production experience with LLMs, RAG, AI agents and tool calling.
Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI or similar frameworks.
Strong data integration, event-driven architecture and workflow-automation knowledge.
Docker, Kubernetes, Git and CI/CD experience.
Understanding of security, identity, authorization, secrets management and auditability.
Strong customer-facing communication and stakeholder-management skills.
Azure Experience
Working experience across several of the following:
Azure AI Foundry, Azure OpenAI, Azure AI Search and Azure ML
Azure Functions, API Management, App Service and AKS
Azure Storage, ADLS, Azure SQL and Cosmos DB
Azure Data Factory, Databricks, Fabric or Synapse
Azure Service Bus and Event Hubs
Azure DevOps, Entra ID, Managed Identity, RBAC and Key Vault
Azure Monitor and Application Insights
Strong AWS or GCP candidates may be considered if they demonstrate exceptional business-solution ownership and can transition to Azure.
Work arrangement
No
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