Database Architect

Project description

We are looking for an experienced AI & Automation Solution Architect to establish and lead the technical foundation for Automation, AI, and Generative AI initiatives across our database services landscape.This role will provide architecture leadership for existing automation solutions while defining and delivering the roadmap for future capabilities, including AI Agents, GenAI integrations, RAG-based solutions, and intelligent operational workflows. The successful candidate will help transform individual automations into a scalable, governed, and enterprise-ready capability aligned with client's AI strategy.

Responsibilities

• Define and govern the AI & Automation architecture strategy for Database Platforms.
• Lead the technical evolution of existing automation solutions and frameworks.
• Design scalable, reusable, and maintainable automation architectures.
• Drive adoption of GenAI capabilities to improve operational efficiency and engineer productivity.
• Architect integrations with enterprise AI services such as Microsoft Copilot, Azure AI Foundry, Copilot Studio, AI Agents, RAG services, and Agentic AI platforms.
• Establish development standards, governance, security controls, observability, and best practices.
• Collaborate with Database Engineering, Cloud, Security, Architecture, and AI teams.
• Mentor engineers and provide technical leadership for AI and automation initiatives.

SKILLS

Must have

• Architecture & Engineering
• 8+ years of experience in Solution Architecture, Enterprise Architecture, Automation Architecture, or similar roles.
• Strong software engineering and system design background.
• Experience designing enterprise-scale automation platforms.Automation & DevOps
• Python
• PowerShell
• REST APIs
• GitHub Enterprise
• GitHub Actions
• CI/CD Pipelines
• DevOps practices
• Infrastructure as CodeCloud & Integration
• Microsoft Azure
• AWS
• API Integration
• Event-Driven Architectures
• Microservices
• AI & Generative AIHands-on experience with:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents / Agentic AI
• Prompt Engineering
• Vector Search / Semantic Search
• AI Orchestration
• Azure AI Foundry
• Azure OpenAI Services
• Microsoft Copilot Studio
• Microsoft 365 Copilot
• MCP (Model Context Protocol)
• Database KnowledgeStrong understanding of:
• MS SQL
• Oracle
• PostgreSQL
• MySQL
• AWS RDS
• Database Operations and Automation

Nice to have

• Azure Solutions Architect Expert
• Azure AI Engineer Associate
• AWS Solutions Architect
• TOGAF

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