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About the Role

Join us in shaping the next generation of AI-driven architectures for leading organizations worldwide. Design agentic platforms, autonomous delivery pipelines, and intelligent systems that translate enterprise knowledge into scalable business impact. Bring your unique strengths to our distinctive team—one that consistently supports each other. Together with Boston Consulting Group and our clients, we drive innovation from the boardroom to the code.

Responsibilities

Design AI-driven target architectures and conceptualize AI-powered Software Factories, from "agentic software factories" to autonomous software development at enterprise scale, while leading small project teams.
Develop and take ownership of AI-driven delivery pipelines that translate development processes, engineering standards, and architectural principles into machine-executable workflows.
Establish trusted AI engineering environments by designing governance mechanisms with multi-layer verification, clearly defined identity boundaries, and end-to-end traceability.
Implement and oversee evaluation and security mechanisms, including automated testing and evaluation pipelines, architecture compliance checks, and red-teaming approaches for AI-generated systems, ensuring adherence to quality and security standards.
Transform enterprise knowledge into machine-readable structures—such as architecture decisions, domain models, APIs, and business rules—to enable autonomous software development.
Translate business intent into scalable architectures, embed AI sustainably into existing technology landscapes and operating models, and turn strategic vision into measurable business impact.

Requirements

Successfully completed a degree in Computer Science, Information Systems, AI Engineering, or a related field with above-average academic performance.
At least four years of relevant experience in IT consulting, IT project management, or professional software engineering with a strong AI focus.
Experience leading project teams of more than three people.
Analyze, design, and optimize state-of-the-art custom IT architectures, leveraging deep understanding of legacy IT, enterprise solutions, and current technology trends (e.g., Agentic AI, LLM orchestration, AI-native architectures).
Hands-on experience with AI systems, such as LLM-based applications, AI agents, or machine learning platforms.
Familiarity with modern software delivery practices, including DevSecOps, CI/CD pipelines, automated testing, and platform engineering.
Familiarity with concepts such as Agent Assembly Line, Execution Harness, and Context Engineering, and knowledge of how to integrate them into secure, scalable enterprise architectures.
Ability to translate complex business requirements into technical architectures.
Effective communication with both technical and business stakeholders.
Thrive in interdisciplinary teams and global environments.
Willingness to travel as needed.
Fluent in both German and English and ability to confidently communicate complex technical concepts in both languages.

Skills

AI-driven architectures
Agentic platforms
Autonomous delivery pipelines
Intelligent systems
AI-powered Software Factories
Agentic software factories
Autonomous software development
AI-driven delivery pipelines
Governance mechanisms
Multi-layer verification
Identity boundaries
End-to-end traceability
Evaluation mechanisms
Security mechanisms
Automated testing
Evaluation pipelines
Architecture compliance checks
Red-teaming approaches
Enterprise knowledge transformation
Machine-readable structures
Architecture decisions
Domain models
APIs
Business rules
Scalable architectures
AI embedding
Technology landscapes
Operating models
Agentic AI
LLM orchestration
AI-native architectures
LLM-based applications
AI agents
Machine learning platforms
DevSecOps
CI/CD pipelines
Automated testing
Platform engineering
Agent Assembly Line
Execution Harness
Context Engineering
Secure enterprise architectures
Scalable enterprise architectures

Experience Level

At least four years of relevant experience

Education Level

Degree in Computer Science, Information Systems, AI Engineering, or a related field

Benefits

Constant new development incentives
Open and rewarding work environment
Individual training offers
Culture of open feedback
Modern structures
Easy travel booking
Excellent back-office support
Comprehensive Knowledge Center
Regular office Fridays
Legendary events
State-of-the-art hard- and software infrastructure
Comprehensive AI enablement training program

About the Company

BCG Platinion is an Equal Opportunity Employer and actively promotes diversity and inclusion.
Further information at www.bcgplatinion.com/careers

Equal Opportunity

We consider all qualified applicants regardless of ethnic and social background, age, gender, sexual identity, religion, ideology or disability.