Erstellt am 17. Juni 2026
AI Expert / Architect
Luxoft
Frankfurt am Main, Hessen 60306, Germany
Vollzeit
Reference: 1575076600
Project description
Join our Development Center and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
The AI Expert / AI Architect is responsible for defining, implementing, and governing the AI strategy within the department. The role ensures that AI initiatives are aligned with our client's strategic objectives, regulatory requirements, and technology landscape, while enabling innovation and operational efficiency.
On top of attractive salary and benefits package, DXC Luxoft will invest into your professional training, and allow you to grow your professional career.
Responsibilities
AI Strategy & Architecture:
Define the department's AI strategy and roadmap.
Design end-to-end AI/ML and GenAI architectures.
Evaluate and select AI platforms, tools.
Design and implement agentic workflows, tool use, and (where needed) multi-agent/A2A patterns
Governance & Compliance
Establish AI governance standards.
Maintain documentation and controls aligned with the client's data governance and responsible AI expectations.
Implementation & Technical Leadership
Lead delivery of AI solutions with data/platform teams, Data Engineering, DevOps, and IT Security.
Define technical requirements and oversee integration with banking systems.
Optimize model performance and data pipelines.
Define test strategies and automated evaluations for LLM/agent behavior; drive regression, safety, and robustness improvements.
Business Engagement
Identify high-value AI use cases with business stakeholders.
Translate business needs into technical solutions.
Communicate results and recommendations to management.
Innovation
Run PoCs and pilot GenAI and ML initiatives.
Track AI trends and propose new opportunities.
Skills
Must have
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or similar
Experience: 7-10 years in IT, including 4-5 years in AI/ML/Applied AI with a proven track record of delivering production AI solutions that drive measurable business impact
Experience in enterprise AI architecture
Experience with at least one major cloud platform: Google Cloud, AWS, or Azure (GCP preferred)
Strong Python proficiency, Object-Oriented Programming (SOLID principles), and efficient use of data structures & algorithms
Hands-on experience with modern AI/ML frameworks such as PyTorch, TensorFlow, or JAX
Hands-on experience building LLM-powered applications, with experience in agentic and/or multi-agent patterns
Hands-on experience with agent/orchestration frameworks (e.g., ADK, Dialogflow, or similar)
Proficiency with Git, CI/CD pipelines, and unit testing frameworks (e.g. PyTest, JUnit)
Experience deploying services such as BigQuery and Cloud Run (or comparable managed data/compute services)
Strong understanding of data fundamentals relevant to AI products (ingestion, data quality, preprocessing, feature creation, and query optimization)
Cloud architectures, APIs, data pipelines, security best practices
Strategic thinking and problem-solving
Strong communication and stakeholder management
Nice to have
GCP/Azure/AWS AI certifications, TOGAF, ML/AI certifications.
Banking experience is a strong plus.
Other
Languages
English: C2 Proficient
Seniority
Lead
Join our Development Center and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
The AI Expert / AI Architect is responsible for defining, implementing, and governing the AI strategy within the department. The role ensures that AI initiatives are aligned with our client's strategic objectives, regulatory requirements, and technology landscape, while enabling innovation and operational efficiency.
On top of attractive salary and benefits package, DXC Luxoft will invest into your professional training, and allow you to grow your professional career.
Responsibilities
AI Strategy & Architecture:
Define the department's AI strategy and roadmap.
Design end-to-end AI/ML and GenAI architectures.
Evaluate and select AI platforms, tools.
Design and implement agentic workflows, tool use, and (where needed) multi-agent/A2A patterns
Governance & Compliance
Establish AI governance standards.
Maintain documentation and controls aligned with the client's data governance and responsible AI expectations.
Implementation & Technical Leadership
Lead delivery of AI solutions with data/platform teams, Data Engineering, DevOps, and IT Security.
Define technical requirements and oversee integration with banking systems.
Optimize model performance and data pipelines.
Define test strategies and automated evaluations for LLM/agent behavior; drive regression, safety, and robustness improvements.
Business Engagement
Identify high-value AI use cases with business stakeholders.
Translate business needs into technical solutions.
Communicate results and recommendations to management.
Innovation
Run PoCs and pilot GenAI and ML initiatives.
Track AI trends and propose new opportunities.
Skills
Must have
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or similar
Experience: 7-10 years in IT, including 4-5 years in AI/ML/Applied AI with a proven track record of delivering production AI solutions that drive measurable business impact
Experience in enterprise AI architecture
Experience with at least one major cloud platform: Google Cloud, AWS, or Azure (GCP preferred)
Strong Python proficiency, Object-Oriented Programming (SOLID principles), and efficient use of data structures & algorithms
Hands-on experience with modern AI/ML frameworks such as PyTorch, TensorFlow, or JAX
Hands-on experience building LLM-powered applications, with experience in agentic and/or multi-agent patterns
Hands-on experience with agent/orchestration frameworks (e.g., ADK, Dialogflow, or similar)
Proficiency with Git, CI/CD pipelines, and unit testing frameworks (e.g. PyTest, JUnit)
Experience deploying services such as BigQuery and Cloud Run (or comparable managed data/compute services)
Strong understanding of data fundamentals relevant to AI products (ingestion, data quality, preprocessing, feature creation, and query optimization)
Cloud architectures, APIs, data pipelines, security best practices
Strategic thinking and problem-solving
Strong communication and stakeholder management
Nice to have
GCP/Azure/AWS AI certifications, TOGAF, ML/AI certifications.
Banking experience is a strong plus.
Other
Languages
English: C2 Proficient
Seniority
Lead
