AI Architect & Lead Developer — Hybrid, Enterprise AI

Capgemini Engineering; Santa Clara (CA); Hybrid; USD 82,000 - 193,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid time off

Job summary

Capgemini Engineering in Long Beach, CA seeks an AI Architect/Developer to bridge AI strategy with production-grade solutions. You will design scalable AI ecosystems, select model architectures, and contribute to end-to-end AI solutions, pipelines, and integrations.

You will lead development, mentor junior staff, and ensure secure, high-performance AI platforms within an Agile environment. A strong emphasis on production-grade code and architecture is required.

Qualifications

• 10+ years of experience designing, developing, and delivering enterprise-scale AI/ML architectures.
• Ability to translate business requirements into scalable AI platforms.
• Experience with on-prem, cloud-hybrid, or multi-cloud environments.

Responsibilities

• Translate business requirements into robust AI architectural blueprints.
• Write clean, modular production code.
• Tune models with quantization and pruning to meet performance thresholds.
• Mentor junior staff and enforce best practices in code quality and security.
• Work in an Agile/Scrum framework with milestones.
• Maintain architectural documentation and data flow diagrams.
• Adhere to data privacy standards and secure AI practices.
• Deliver quantified success stories.

Skills

AI architecture

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

CI/CD for AI

REST APIs

Tools

MLflow

Kubeflow

Weights & Biases

Docker

Kubernetes

Airflow

Kafka

Spark

Pinecone

Job description

Capgemini Engineering in Long Beach, CA seeks an AI Architect/Developer to bridge AI strategy with production-grade solutions. You will design scalable AI ecosystems, select model architectures, and contribute to end-to-end AI solutions, pipelines, and integrations.

You will lead development, mentor junior staff, and ensure secure, high-performance AI platforms within an Agile environment. A strong emphasis on production-grade code and architecture is required.