Hybrid AI Architect — Production ML Lead (Seattle)

Capgemini Engineering; Seattle (WA); Hybrid; USD 82,000 - 193,000; Full time

Benefits offered by this job

Health, dental and vision coverage

401(k) retirement plan

Job summary

Capgemini Engineering seeks an AI Architect/Developer hybrid to bridge AI strategy and production-grade implementation. You will design scalable AI ecosystems, select model architectures, and contribute to custom AI solutions, pipelines, and integrations.

You will translate business requirements into robust blueprints, write modular production code, and mentor junior staff while following Agile practices. This role emphasizes secure, compliant AI development and comprehensive documentation.

Qualifications

• Minimum 10+ years designing and delivering enterprise AI/ML solutions.
• Ability to select suitable models based on latency, cost and accuracy.
• Experience integrating AI with secure, scalable enterprise software.

Responsibilities

• Translate business needs into robust AI architecture blueprints.
• Write clean, production-grade Python code.
• Tune models with pruning/quantization for performance.

Skills

AI/ML architectures

Python

PyTorch

TensorFlow

RESTful API

Docker/Kubernetes

CI/CD for AI

LangChain

Data governance

Tools

MLflow

Kubeflow

Weights & Biases

FastAPI

Flask

Apache Airflow

Kafka

Spark

Pinecone

Job description

Capgemini Engineering seeks an AI Architect/Developer hybrid to bridge AI strategy and production-grade implementation. You will design scalable AI ecosystems, select model architectures, and contribute to custom AI solutions, pipelines, and integrations.

You will translate business requirements into robust blueprints, write modular production code, and mentor junior staff while following Agile practices. This role emphasizes secure, compliant AI development and comprehensive documentation.