AI Architect/Developer

Capgemini Engineering; Seattle (WA); Hybrid; USD 82,082 - 193,440; Full time

Job summary

Capgemini Engineering in Seattle seeks an AI Architect/Developer hybrid to bridge AI strategy and production-grade implementation. You will design scalable AI ecosystems, select model architectures, and contribute to custom AI solutions, pipelines, and integrations.

You will mentor junior staff, write modular code, tune models, ensure security and data privacy, and document architectures and APIs. The role requires extensive Python experience and modern ML tooling in a hybrid work environment.

Qualifications

• Design scalable AI architectures and production-grade systems.
• Translate business requirements into robust AI blueprints.
• Mentor junior staff and ensure code quality and security.

Responsibilities

• Translate business requirements into robust AI architectural blueprints.
• Write clean, modular production code.
• Tune models with quantization/pruning for performance.
• Lead developers and enforce code quality and security.
• Maintain architectural documentation and API specs.
• Ensure data privacy and secure AI development practices.
• Deliver quantifiable AI solutions with impact.

Skills

AI architecture

Python

RESTful APIs

Docker

Kubernetes

CI/CD for AI

ML frameworks

Vector databases

Multi-cloud

Data governance

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

MLflow

Kubeflow

Weights & Biases

Airflow

Kafka

Spark

Job description

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.

Location

This is a hybrid role located at Seattle, WA.

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.

Your role

• 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.

Your Skills And Experience

• 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.

The base compensation range for this role in the posted location is: $82,082 - $193,440.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits