AI-Driven Database Architect & Automation Leader

Luxoft; United Kingdom; Remote; GBP 120,000 - 180,000; Full time

Job summary

Luxoft is seeking an experienced AI & Automation Solution Architect to establish the technical foundation for Automation, AI and GenAI initiatives across our database services landscape. You will define and deliver the roadmap for future capabilities, including AI Agents and RAG-based solutions, aligning with the client's AI strategy.

You will lead architecture governance, drive scalable automation platforms, and collaborate across Database Engineering, Cloud, Security and AI teams.

Qualifications

• 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.
• Hands-on with LLMs, RAG, AI Agents and GenAI integrations.
• Proficiency with Python, PowerShell, REST APIs, GitHub Enterprise and CI/CD pipelines.
• Experience with cloud platforms including Azure and AWS.
• Database knowledge across MS SQL, Oracle, PostgreSQL, MySQL, AWS RDS.

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 automation architectures and govern best practices.
• Drive adoption of GenAI capabilities to improve efficiency and productivity.
• Architect integrations with enterprise AI services such as Copilot Studio and Azure AI Foundry.
• Establish development standards, security controls, observability, and governance.
• Collaborate with Database Engineering, Cloud, Security, Architecture and AI teams.
• Mentor engineers and provide technical leadership for AI initiatives.

Skills

Architecture & Engineering

8+ years exp

Software engineering

System design

AI/GenAI

Prompt Engineering

Microservices

DevOps practices

CI/CD

Event-driven architectures

Vector Search

LLMs

RAG

API Integration

Copilot Studio

365 Copilot

MCP

Azure OpenAI

Azure

AWS

MS SQL

Oracle

PostgreSQL

MySQL

AWS RDS

Database knowledge

Tools

Python

PowerShell

REST APIs

GitHub Enterprise

GitHub Actions

CI/CD Pipelines

Infrastructure as Code

Microsoft Azure

Azure

AWS

API Integration

Event-Driven Architectures

Microservices

MS SQL

Oracle

PostgreSQL

MySQL

AWS RDS

LLMs

RAG

Azure OpenAI

Azure AI Foundry

Copilot Studio

365 Copilot

MCP

Job description

Project description

We are looking for an experienced Database Platform Automation Architect to establish and lead the automation foundation for a large, heterogeneous database estate: 12,000+ instances across Oracle, IBM DB2, MS SQL Server, PostgreSQL and NoSQL, running as PaaS, IaaS and on-premises. The estate is primarily on Azure and expanding to AWS and GCP.The role sits above day-to-day DBA operations, which are handled by a dedicated DBA team. It focuses on automating the lifecycle, configuration, compliance and visibility of the estate at scale, integrated with the client’s existing platform-engineering framework, Terraform modules, GitHub and ServiceNow. The architect will also apply AI and GenAI, such as AI agents for upgrade-readiness assessment and operational support, on top of this automation foundation.

Responsibilities

• Define and govern the automation architecture and roadmap for database platforms across Azure, AWS, GCP and on-premises.Design and deliver automation for the database lifecycle at estate level: provisioning, configuration, patching and upgrades, backup and restore, decommissioning.Build an estate-wide, near real-time inventory and configuration view (versions, extensions, sizing, networking, authentication) and detect drift against standards.Implement policy-as-code and compliance reporting for database platforms.Integrate automation with the existing platform-engineering framework (paved paths, reusable modules) and with ServiceNow (Service Catalog, change management).Lead the technical evolution of existing automation solutions and turn individual scripts into reusable, governed capabilities.Drive adoption of AI and GenAI for operations, for example AI agents for version-compatibility and upgrade-readiness assessment, with human-in-the-loop controls.Establish development standards, security controls, observability and code-review practices used by multiple teams.Collaborate with Database Engineering, Cloud, Platform Engineering, Security and Architecture teams, and mentor engineers.

SKILLS

Must have

• 8+ years in IT, including at least 3 years as an architect or technical lead in platform, cloud infrastructure or automation architecture.Proven, hands-on automation of database platforms at scale (hundreds or thousands of instances) across more than one engine (Oracle, IBM DB2, MS SQL Server, PostgreSQL), covering provisioning, configuration, patching and upgrades, and lifecycle management.Hands-on experience building estate-wide inventory, configuration visibility and compliance or drift reporting for cloud resources (for example Azure Resource Graph, cloud inventory APIs, CMDB integration).Policy-as-code and governance at organisation level (Azure Policy, OPA or Sentinel), including standards adopted by multiple teams.Terraform: personally authored reusable modules, state management and multi-environment deployments for managed and VM-based databases (Azure SQL, PostgreSQL Flexible Server, AWS RDS, GCP Cloud SQL).Ansible or equivalent configuration management for VM-based or on-premises database infrastructure.CI/CD with GitHub and GitHub Actions: reusable workflows, environments and approvals, secrets, self-hosted runners.ServiceNow integration: automating Service Catalog requests and change requests end to end (request → approval → pipeline → change record).Python, PowerShell and Bash scripting on Linux and Windows.Experience extending existing enterprise automation and platform-engineering frameworks (brownfield), not only building greenfield solutions.Practical, hands-on experience applying GenAI or AI agents to operational automation.Ability to clearly explain personal role, decisions and measurable outcomes on previous projects.

Nice to have

Microsoft AI stack: Azure OpenAI, Azure AI Foundry, Copilot Studio, Microsoft 365 Copilot extensibilityAI agents that execute operational actions with human-in-the-loop approval, RBAC and audit trailsDatabase version-compatibility and upgrade-readiness assessments at scaleAutomated Oracle or DB2 patching and upgrades, including HA setups (Oracle RAC or Data Guard, DB2 HADR)NoSQL databases on AWS or GCPAzure Arc or hybrid management of on-premises databasesMCP (Model Context Protocol): building or integrating MCP serversRAG, vector and semantic search, AI orchestration frameworksLanding-zone design and multi-cloud governance (tagging, naming, guardrails)Security-by-design and threat modellingCertifications: Azure Solutions Architect Expert (AZ-305), HashiCorp Terraform Associate, Red Hat Ansible, AWS Solutions Architect, Azure AI Engineer (AI-102), TOGAF