1 day ago
Base Salary
$82k - $193k/yr
Responsibilities
- Translate business requirements into robust, high-performance AI architectural blueprints.
- Design scalable machine learning infrastructure across on-premises, cloud-hybrid, and multi-cloud environments.
- Write clean, modular, maintainable production code and develop custom AI solutions, pipelines, APIs, and integrations.
- Evaluate and select LLMs, SLMs, and traditional ML models based on latency, cost, and accuracy requirements.
- Tune, quantize, and prune models to meet performance thresholds.
- Integrate AI services with enterprise software ecosystems and security, compliance, and data governance frameworks.
- Lead development efforts, mentor junior staff, and ensure code quality and model security best practices.
- Maintain architectural documentation, including data flow diagrams and API specifications.
- Implement model versioning, monitoring, and CI/CD practices for AI systems.
- Develop RESTful APIs and data pipeline architectures.
- Use containerization and orchestration for AI platforms.
Requirements
- 10+ years of experience designing, developing, and delivering enterprise-scale technology solutions, including AI/ML architectures.
- Proficiency with Python-based frameworks such as PyTorch, TensorFlow, LangChain, and LlamaIndex.
- Hands-on experience with MLflow, Kubeflow, Weights & Biases, or comparable model versioning and monitoring tools.
- Strong RESTful API development experience with FastAPI and Flask.
- Experience architecting data pipelines with Apache Airflow, Kafka, and Spark.
- Deep understanding of neural networks and transformer architecture, including loss functions and optimization.
- Strong proficiency in Python and SQL, with familiarity with C++ or Go for high-performance components.
- Expertise with Docker and Kubernetes.
- Experience with vector databases such as Pinecone, Milvus, and Weaviate, as well as traditional relational and NoSQL databases.
- Ability to design secure, scalable, high-performance AI platforms and integrate them with enterprise ecosystems.
- Experience with data privacy, security, compliance, and governance requirements.
- Ability to mentor junior staff and work within an Agile/Scrum delivery environment.
Benefits
- Hybrid work arrangement in Long Beach, California.
- Base compensation range of $82,082-$193,440 annually, with possible additional variable compensation, bonuses, or commissions.
- Paid time off, including 12-25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Additional benefits may be available according to local policy and eligibility.
Tech Stack
Apache AirflowApache KafkaApache SparkC++DockerFastAPIFlaskGoKubernetesMLflowPythonPyTorchSQLTensorFlow
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.