AI Architect & Forward Engineering (f/m/d) @ A1 Competence Delivery Center
Core
Design end-to-end architecture for an AIaaS platform and lead forward-deployed engineering to bring real AI use cases into production.
Role type
Senior AI Architect & Forward Engineering Lead
Builds
AIaaS platform, model serving, vector search, RAG, agent orchestration, and production-grade AI solutions
Domain
Telecommunications / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
End-to-end AI/ML system design, Python, PyTorch, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, AutoGen, RAG pipelines, vector search, model deployment, quantization, vLLM, Triton, Kubernetes, microservices, REST/gRPC APIs
Preferred skills
Forward-deployed engineering, model fine-tuning (LoRA, QLoRA, PEFT), AI guardrails (NeMo Guardrails, Guardrails AI), sovereign-cloud compliance, orchestration tools (Airflow, MLflow, Ray, Kubeflow)
Technologies
PyTorch, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, AutoGen, vLLM, Triton, Kubernetes, Airflow, MLflow, Ray, Kubeflow
Responsibilities
Define target architecture for AIaaS application layer integrating model serving, vector search, RAG, and agent orchestration; collaborate with business teams to scope, design, build, and deploy high-impact AI use cases; establish standardized patterns, SDKs, and templates for LLMOps and MLOps pipelines; benchmark foundation models, embeddings, and vector databases; optimize inference efficiency and GPU utilization; oversee AI safety, privacy, RBAC, and sovereign-cloud compliance; translate business needs into scalable architectural blueprints
Seniority
Senior, hands-on IC with strategic oversight
