AI Architect / Developer (Hybrid)

About the role

Capgemini Engineering is seeking a highly skilled AI Architect/Developer hybrid (3 days a week in Long Beach, CA) who bridges AI strategy and production-grade implementation. The person designs scalable AI ecosystems, selects model architectures and contributes directly to custom AI solutions, pipelines and integrations.

Key responsibilities

• Translate business requirements into robust, high-performance AI architectural blueprints.
• Write clean, modular and maintainable production code.
• Conduct model tuning, quantization and pruning to meet performance thresholds.
• Act as a lead developer to mentor junior staff and uphold code quality and model security.
• Work within an Agile/Scrum framework with frequent delivery milestones.
• Maintain architectural documentation, including data flow diagrams and API specifications.
• Follow data privacy standards and secure AI development practices.

Required profile

• 10+ years of experience designing, developing and delivering enterprise-scale technology solutions, including AI/ML architectures.
• Experience designing scalable machine learning infrastructure (on-prem, cloud-hybrid or multi-cloud).
• Ability to choose LLMs, SLMs or traditional ML models based on latency, cost and accuracy.
• Ability to integrate AI services with enterprise software, security, compliance and data governance frameworks.
• Deep understanding of neural networks and transformer architecture, and ability to optimize models using loss functions and optimization formulas.

Required skills

• Python-based frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex)
• CI/CD for AI, model versioning and monitoring (MLflow, Kubeflow, Weights & Biases)
• RESTful APIs (FastAPI, Flask) and data pipelines (Apache Airflow, Kafka, Spark)
• Python, SQL, and familiarity with C++ or Go; Docker and Kubernetes
• Vector databases (Pinecone, Milvus, Weaviate) and RDBMS/NoSQL databases

What we offer

• Base compensation range of $101,140 - $182,624 per year, depending on location, experience and qualifications.
• Paid time off, vacation, personal days and sick leave.
• Medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.