Senior Principal Technology Architect | AI Principal Architect | Frank

Infosys; Frankfurt; Vor Ort; EUR 125.000 - 150.000; Vollzeit

Zusammenfassung

A global technology services company is looking for a Senior Principal Technology Architect to lead the design of AI solutions across various industries. The candidate will guide product capabilities using Generative AI and Machine Learning, defining architectures and collaborating with cross-functional teams. Ideal applicants should have strong technical consulting skills, hands-on experience with relevant technologies, and a track record in mentoring. This role also emphasizes driving innovation and adopting best practices in AI.

Leistungen

Competitive compensation including bonus

Qualifikationen

• Strong foundation in NLP and LLM‑based architectures.
• Experience with machine learning and deep learning.
• Hands‑on experience with Python and relevant frameworks.

Aufgaben

• Architect and deliver scalable Gen AI solutions.
• Define reference architectures and best practices for AI integration.
• Collaborate with product teams to translate needs into AI features.

Kenntnisse

NLP and LLM architectures

Python

TensorFlow

PyTorch

LangChain

AWS

Azure

GCP

vector databases

Tools

Docker

Kubernetes

MLflow

Jobbeschreibung

Job Description

Role – Senior Principal Technology Architect
Technology – GenAI, LLM, RAG, Agentic AI, AI workflows
Location – Frankfurt, Germany
Business Unit – GERENG
Compensation – Competitive (including bonus)

Senior Principal Technology Architect – Infosys

The AI Principal Architect will lead the design product capabilities across multiple domains such as Aerospace, Manufacturing, Retail, and Finance, using both Traditional and Generative AI as well as Machine Learning. The role involves defining architecture, guiding development, and enabling innovation across AI/ML, LLM, RAG, and Agentic AI use cases. The ideal candidate combines a product mindset, collaboration, and leadership. The candidate should have technical consulting capabilities, solutioning acumen, and domain knowledge in any of the industries where Gen AI is applied. They should be able to conduct value‑stream workshops to discover AI implementation scope, create architecture and detailed solutions, andn

Key Responsibilities

• Architect and deliver scalable Gen AI solutions across data, model, and application layers.
• Define reference architectures, reusable patterns, and best practices for AI integration into products.
• Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.
• Integrate ML and AI solutions within products.
• Establish MLOps and Gen AI Ops pipelines for model lifecycle management, monitoring, and governance.
• Collaborate with product, data, and engineering teams to translate business needs into AI‑enabled features.
• Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.
• Mentor teams on AI engineering, prompt design, and scalable deployment practices.
• Support pre‑sales and customer discussions to define solution approaches and architecture options.
• Understand a product development value chain in a domain.

Skills & Experience

• Strong foundation in NLP and LLM‑based architectures.
• Familiarity with machine learning and deep learning (advanced knowledge is an advantage).
• Hands‑on experience with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow.
• Experience with cloud AI ecosystems: AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI). Familiarity with GraphRAG.
• Experience with foundation models, Codex tool plugins, and new coding tools (Cursor, Devin).
• Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus) and RAG pipelines.
• Familiarity with containerization (Docker, Kubernetes) and MLOps workflows.>
• Exposure to prompt engineering, fine‑tuning, evaluation, and responsible AI practices.
• Understanding of data engineering, model observability, and AI governance.

Soft Skills

• Strong analytical, problem‑solving, and communication abilities.
• Collaborative mindset with ability to work across product, engineering, and data teams.
• Thought leadership in driving AI adoption, innovation, and best practices.
• Experience supporting AI CoE initiatives and customer engagements.

About Infosys

Infosys is a global leader in next‑generation digital services and consulting. With over three decades of experience, Infosys empowers clients worldwide to navigate digital transformation, embrace Agile, and achieve unprecedented performance and customer delight. Our learning agenda and innovation ecosystem drive continuous improvement.

Equal Opportunity Employer Statement

All aspects of employment at Infosys are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal‑opportunity employer.