AI Architect/Developer
About The Position
Capgemini Engineering is seeking an AI Architect/Developer who bridges AI strategy and production-grade implementation. The role designs scalable AI ecosystems, selects appropriate model architectures, and contributes directly to custom AI solutions, pipelines, and integrations. It is a hybrid position located in Long Beach, California. The AI Architect/Developer translates business requirements into robust, high-performance AI architectural blueprints; writes clean, modular, maintainable production code; and tunes, quantizes, and prunes models to meet performance thresholds. The role also leads development work, mentors junior staff, promotes code quality and model security, and works within an Agile/Scrum framework with frequent delivery milestones. Comprehensive architecture documentation and strict adherence to data privacy standards and secure AI development practices are expected.
Requirements
- At least 10 years of experience designing, developing, and delivering enterprise-scale technology solutions, including AI/ML architectures.
- Experience designing scalable machine learning infrastructure in on-premises, cloud-hybrid, or multi-cloud environments.
- Ability to translate business requirements into secure, scalable, high-performance AI platforms.
- Ability to evaluate and select LLMs, SLMs, or traditional ML models based on latency, cost, and accuracy requirements.
- Expertise integrating AI services with enterprise software ecosystems, including security, compliance, and data governance frameworks.
- Proficiency with Python-based frameworks such as PyTorch, TensorFlow, LangChain, or LlamaIndex.
- Hands-on experience with CI/CD for AI, model versioning, and monitoring tools such as MLflow, Kubeflow, or Weights & Biases.
- Strong background in RESTful API development using tools such as FastAPI or Flask, and data pipeline architecture using tools such as Apache Airflow, Kafka, or Spark.
- Deep understanding of neural network and transformer architecture principles.
- Ability to interpret and optimize model performance using formulas related to loss functions and optimization.
- Strong proficiency in Python and SQL, and familiarity with C++ or Go for high-performance components.
- Expertise in containerization and orchestration using Docker and Kubernetes.
- Experience with vector databases such as Pinecone, Milvus, or Weaviate, and traditional RDBMS/NoSQL databases.
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.
- Lead development work and mentor junior staff while ensuring best practices in code quality and model security.
- Work within an Agile/Scrum framework with frequent delivery milestones.
- Maintain comprehensive architectural documentation, including data flow diagrams and API specifications.
- Adhere to data privacy standards and secure AI development practices.
- Deliver work supported by a robust portfolio of quantifiable success stories.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada, subject to local policy and eligibility.
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- The role may be eligible for variable incentives, bonuses, or commissions, depending on position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
