Senior AI Architect & Production Engineer (Hybrid)

Capgemini Engineering; Santa Clara (CA); Hybrid; USD 109,000 - 197,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision

Retirement plans

Life and disability insurance

Employee assistance programs

Other benefits

Job summary

Capgemini Engineering is seeking a seasoned AI Architect/Developer to bridge AI strategy and production-grade implementation in a hybrid Long Beach, CA environment. You will design scalable AI ecosystems, select model architectures, and contribute to custom AI solutions, pipelines, and integrations.

You will lead development, mentor junior staff, and ensure best practices in code quality and security, while delivering high-performance AI platforms in an Agile setting.

Qualifications

• 10+ years in designing, delivering enterprise AI/ML solutions.
• Experience selecting LLMs/SLMs for latency, cost, accuracy.
• Ability to integrate AI with enterprise software security and governance.
• Proficient in Python-based ML frameworks.
• Experience with CI/CD for AI and model monitoring.

Responsibilities

• Translate requirements into scalable AI architecture blueprints.
• Write production-grade, modular AI code.
• Tune, quantize, and prune models to meet performance.
• Mentor junior staff and ensure code quality and security.
• Work within Agile/Scrum with frequent milestones.
• Maintain architectural docs and API specs.
• Adhere to data privacy and secure AI practices.
• Deliver notable AI projects with measurable outcomes.

Skills

AI architecture

Python

CI/CD for AI

REST APIs

Data pipelines

Docker

Kubernetes

Vector DBs

Security governance

Multi-cloud

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

MLflow

Kubeflow

Weights & Biases

FastAPI

Flask

Airflow

Kafka

Spark

Job description

Capgemini Engineering is seeking a seasoned AI Architect/Developer to bridge AI strategy and production-grade implementation in a hybrid Long Beach, CA environment. You will design scalable AI ecosystems, select model architectures, and contribute to custom AI solutions, pipelines, and integrations.

You will lead development, mentor junior staff, and ensure best practices in code quality and security, while delivering high-performance AI platforms in an Agile setting.