Principal AI Solution Architect

Avenga

Principal AI Solution Architect defining secure, scalable enterprise AI, automation, and low-code architectures at Avenga, a global technology services company. Establishing standards across delivery teams.

Posted 8/5/2026full-timeSofia • 🇧🇬 BulgariaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing enterprise-scale architectures for AI, automation, and low-code solutions, while ensuring adherence to Responsible AI principles and governance frameworks. Proven ability to lead technical teams, define architectural standards, and promote engineering excellence across multiple delivery teams.

Highest-signal resume keywords

Enterprise-Scale Architecture DesignIntegration ArchitectureResponsible AI PrinciplesTechnical Team LeadershipCloud-Native Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DesignOrchestrationEnterprise System ConnectivitySoftware ArchitectureScalabilitySecurityTechnical PatternsArchitectural StandardsAI PlatformsDigital Solutions

Soft Skills

Excellent CommunicationLeadershipCollaborationStakeholder Management

Tools & Technologies

Microsoft Copilot StudioAgent 365

Industry Keywords

Technical Architecture StandardsData GovernanceResponsible AIEngineering ExcellenceDelivery Teams

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and maintain technical architecture standards, reference architectures, reusable patterns, and shared components
Review and approve solution architectures before development begins
Lead technical design reviews with Solution Architects, Technical Leads, Pod Leads, and Data Engineers
Drive architecture decisions across AI, automation, low-code, and enterprise integration solutions
Ensure security, data governance, and Responsible AI principles are embedded into every solution
Support production readiness, release activities, and transition into operational support
Contribute reusable architectural assets and best practices across multiple delivery teams
Promote architectural consistency, scalability, and engineering excellence while reducing duplicated implementation effort
Collaborate with technical and delivery leadership to evolve engineering standards and architecture practices

Requirements

What you’ll need

Proven experience designing enterprise-scale architectures for AI, automation, low-code, or intelligent digital solutions
Strong expertise in integration architecture, including API design, orchestration, and enterprise system connectivity
Solid understanding of Responsible AI principles and governance frameworks, such as the EU AI Act or Microsoft Responsible AI Standard
Experience leading technical teams across multiple workstreams or delivery teams
Experience with enterprise AI platforms such as Microsoft Copilot Studio or Agent 365 is highly desirable
Strong knowledge of software architecture, cloud-native solutions, scalability, security, and enterprise integration
Ability to define architectural standards and technical patterns across multiple parallel initiatives
Excellent communication skills for explaining architectural decisions and technical trade-offs to engineering teams and senior business stakeholders
Strong leadership, collaboration, and stakeholder management skills

Benefits

Comp & perks

Equal opportunities in recruitment, career development, and leadership
Supportive, trusted, and empowering work environment
Opportunities to contribute to large-scale AI transformation initiatives
Collaboration with experienced architects and engineering leaders
Career development and growth opportunities