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AI Architect / Developer (Hybrid)

Capgemini Engineering · Santa Clara

New
Hybrid Senior 101,140 - 182,624 USD/year 🇬🇧 English
Python PyTorch TensorFlow LangChain LlamaIndex FastAPI Flask Apache Airflow Kafka Spark MLflow Kubeflow Weights & Biases Docker Kubernetes SQL C++ Go Pinecone Milvus Weaviate

Job description

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 role covers designing scalable AI ecosystems, choosing model architectures and building 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, mentoring junior staff and ensuring code quality and model security.
  • Work in 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.
  • Proven ability to turn business requirements into secure, scalable, high-performance AI platforms.
  • Experience designing scalable machine learning infrastructure (on-prem, cloud-hybrid or multi-cloud).
  • Ability to select LLMs, SLMs or traditional ML models based on latency, cost and accuracy.
  • Experience integrating AI services with enterprise software, including security, compliance and data governance.

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)
  • Neural networks and transformer architecture, including loss functions and optimization
  • Python, SQL, and C++ or Go for high-performance components
  • Docker and Kubernetes; vector databases (Pinecone, Milvus, Weaviate) and RDBMS/NoSQL

What we offer

  • Base compensation range of $101,140 - $182,624 per year, depending on location, experience and qualifications.
  • Paid time off (vacation and personal days), medical, dental and vision coverage, retirement savings plans and life and disability insurance.
  • Variable incentives, bonuses or commissions may be available depending on the position.

Questions fréquentes

Le salaire proposé pour ce poste est de 101-183k USD par an. Le détail figure dans l'annonce.
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Published 4 hours ago

Expires 1 month from now

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Capgemini Engineering

Santa Clara