AI Architect
About The Position
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering 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
Requirements
- Experience designing scalable machine learning infrastructure (on-prem, cloud-hybrid, or multi-cloud environments).
- 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.
- 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.
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
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
