Roland Berger
Tech / AI / Software
SoftwareArchitectwithEnterpriseArchitectSkills
Neural analysis suggests this role is
optimal for mid candidates.
“Software Architect with Enterprise Architect Skills at Roland Berger. Skills: Enterprise Architecture, Solution Architecture, GenAI systems design, cloud software architecting. technical backbone for designing secure, scalable (Gen)AI systems. support internal transformation and client projects”
Industry & Context.
Ability to derive a Target Architecture from reference designs and constraints
What They're Looking For.
Must Have
Degree in Computer Science, Engineering, or equivalent experience, 6+ years of experience in architecting cloud software, with a proven track record of delivering production systems, Expertise in Enterprise Architecture and Solution Architecture, with clear artifacts and governance practices, Ability to derive a Target Architecture from reference designs and constraints, understanding of non-functional requirements and guardrail implementation: security, observability, performance, reliability and cost, Proficiency in cloud and hybrid architectures (Azure, AWS, GCP): networking, IAM, data, secrets, policies, and private endpoints, Experience with MCP architecture and integration: designing MCP server topology, capability schemas, tool gating/permissions, auditing and tracability, Expertise in API and integration architecture (REST, GraphQL, events), data contracts, versioning, and resilience, Excellent communication skills in English, Good development expertise with at least one programming language
Nice to Have
entrepreneurial mindset with a winning personality
What You'll Do.
technical backbone for designing secure
scalable (Gen)AI systems
support internal transformation and client projects
guiding consulting teams and their clients in building future-proof target architectures for generative AI
including AI agent applications
translate business goals into Enterprise and Solution Architectures
derive Target Architectures from reference patterns
guide delivery teams from PoV to production
own cross-cutting concerns - identity
lead architecture decision records (ADRs)
ensure agentic/LLM components
and data flows form a coherent platform
How You'll Work.
Team & Collaboration
Partnering with Backend, DevOps, AI Engineers, and Product core teams
Communication Scope
Excellent communication skills in English
Process & Methodology
architecture decision records (ADRs)
Full Job Description
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems. In this dual role, you will support both our internal transformation and client projects, guiding consulting teams and their clients in building future-proof target architectures for generative AI, including AI agent applications. You will translate business goals into Enterprise and Solution Architectures, derive Target Architectures from reference patterns, and guide delivery teams from PoV to production. You will own cross-cutting concerns - identity, data, observability, reliability, cost – you will lead design reviews, architecture decision records (ADRs), and guardrails. Partnering with Backend, DevOps, AI Engineers, and Product core teams, you will ensure agentic/LLM components, services, and data flows form a coherent platform. ## Qualifications * Degree in Computer Science,Engineering, or equivalent experience * 6+ years of experience in architecting cloud software, with a proven track record of delivering production systems * Expertise in Enterprise Architecture and Solution Architecture, with clear artifacts and governance practices * Ability to derive a Target Architecture from reference designs and constraints * Strong understanding of non-functional requirements and guardrail implementation: security, observability, performance, reliability and cost * Proficiency in cloud and hybrid architectures (Azure, AWS, GCP): networking, IAM, data, secrets, policies, and private endpoints * Experience with MCP architecture and integration: designing MCP server topology, capability schemas, tool gating/permissions, auditing and tracability * Familiarity with patterns for agentic/LLM systems such as tool-calling, orchestration, evaluation loops and finetuning pathways * Expertise in API and integration architecture (REST, GraphQL, events), data contracts, versioning, and resilience * Excellent communication skills in English * Good development expertise w
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