AI Architect

Capgemini Engineering; Long Beach (CA); Hybrid; USD 160,000 - 230,000; Full time

Job summary

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

You will translate business needs into robust blueprints, write clean production code, and mentor juniors while ensuring security and documentation are top priorities.

Qualifications

• 10+ years in designing and delivering enterprise AI/ML architectures.
• Experience selecting LLMs/SLMs or traditional ML models based on latency and cost.
• Proven ability to integrate AI with enterprise software securely.
• Strong Python expertise and API development experience.
• Hands-on with CI/CD for AI and model versioning.

Responsibilities

• Translate business needs into scalable AI architectural blueprints.
• Write clean, modular production code and maintain docs.
• Tune, quantize, and prune models to meet performance targets.
• Mentor junior staff and enforce code quality and security.
• Operate within Agile/Scrum with regular milestones.
• Document data flows and API specifications.
• Ensure data privacy and secure AI development practices.
• Deliver robust AI solutions with measurable impact.

Skills

AI/ML architectures

Python

RESTful API development

CI/CD for AI

Model tuning & optimization

Agile/Scrum

Data privacy & security

Transformer models

Model deployment

Docker/Kubernetes

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

MLflow

Kubeflow

Weights & Biases

Docker

Kubernetes

Airflow

Kafka

Spark

Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Location

This is a hybrid role located at Long Beach, CA.

About the job you’re considering

We are seeking a highly skilled AI Architect/Developer hybrid to bridge the gap between AI strategy and production-grade implementation. This individual will be responsible for designing scalable AI ecosystems, selecting appropriate model architectures, and directly contributing to the development of custom AI solutions, pipelines, and integrations.

Your role

• Translate business requirements into robust, high-performance AI architectural blueprints.
• Write clean, modular, and maintainable production code.
• Conduct model tuning, quantization, and pruning to ensure models meet performance thresholds.
• Act as a lead developer to mentor junior staff and ensure best practices in code quality and model security.
• Comfortable working within an Agile/Scrum framework with frequent delivery milestones.
• Commitment to maintaining comprehensive architectural documentation, including data flow diagrams and API specifications.
• Strict adherence to data privacy standards and secure AI development practices.
• Proven delivery of ninja with robust portfolio of quantifiable success stories.

Your skills and experience

• Minimum of 10+ years of experience designing, developing, and delivering enterprise-scale technology solutions, including AI/ML architectures, with a proven ability to translate business requirements into secure, scalable, and high-performance AI platforms.
• Ability to evaluate and select the right LLMs, SLMs, or traditional ML models based on latency, cost, and accuracy requirements.
• Expertise in integrating AI services with existing enterprise software ecosystems, including security, compliance, and data governance frameworks.
• Proficiency in Python-based frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
• Hands‑on experience with CI/CD for AI, model versioning, and monitoring tools (e.g., MLflow, Kubeflow, Weights & Biases).
• Strong background in RESTful API development (FastAPI, Flask) and data pipeline architecture (Apache Airflow, Kafka, Spark).
• Deep understanding of the underlying principles of neural networks and transformer architecture.
• Ability to interpret and optimize model performance using formulas related to loss functions and optimization.
• Strong proficiency in Python, SQL, and familiarity with C++ or Go for high-performance components.
• Expertise in containerization and orchestration using Docker and Kubernetes.
• Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and traditional RDBMS/NoSQL databases.