AI Architect/Developer

About the role

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. This is a hybrid role located at Seattle, WA.

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 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.

Qualifications and skills

• 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.
• Experience designing scalable machine learning infrastructure (on-prem, cloud-hybrid, or multi-cloud environments).
• 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.

Pay and benefits

The base compensation range for this role in the posted location is $82,082 – $193,440. Actual compensation may fall outside of this range and is determined by factors including geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business considerations, and internal pay equity.

Capgemini offers a comprehensive benefits package to all regular, full-time employees. Available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F): Vacation 12-25 days, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility