Company Description Accion Labs is an AI-first, platform-led innovation engineering company headquartered in Pittsburgh, focused on transforming businesses through next-generation technologies. With a global presence across 23 locations and over 5,000 team members, including more than 3,000 trained in AI and Generative AI, Accion Labs supports enterprise modernization through engineering excellence, proprietary IP, and proven delivery models. The company’s core services span digital engineering, cloud and platform engineering, data and AI solutions, enterprise system automation, and agentic AI solutions.

With 50+ GenAI implementations, 34+ proprietary platforms, and a strong cross-industry record, Accion Labs helps clients launch AI-powered products, modernize legacy systems, and improve operational performance.

Accion

Labs is recognized by leading industry analysts and business publications for its innovation and Generative AI capabilities.

Role Description The Principle Generative AI Engineer will lead the design, development, and deployment of advanced Generative AI solutions for enterprise clients in a remote, contract capacity. This role involves architecting AI systems, selecting and fine-tuning foundation models, and integrating GenAI capabilities into existing platforms and products. The engineer will collaborate with product managers, data engineers, and software developers to define solution requirements, create scalable architectures, and ensure secure, compliant implementations.

Day-to-day responsibilities include hands-on prototyping, code reviews, performance optimization, and technical guidance to engineering teams,



as well as documenting best practices, patterns, and frameworks for reuse. The role also includes evaluating emerging AI tools and platforms, contributing to client proposals, and supporting cross-functional stakeholders with clear, actionable technical insights.

Qualifications

- Candidates should possess robust skills in Generative AI model development, fine-tuning, and prompt engineering, including experience with large language models and multimodal models.
- Candidates should possess strong software engineering skills, including proficiency in Python or similar languages, API development, and integration of AI services into cloud-native applications.
- Candidates should possess strong data and ML engineering skills, including experience with data pipelines, feature engineering, MLOps practices, and model monitoring in production environments.
- Candidates should possess strong cloud and platform skills, such as working with AWS, Azure, or GCP, containerization (Docker, Kubernetes), and scalable microservices architectures.
- Candidates should possess strong solution architecture and design skills, including ability to translate business requirements into AI-driven technical solutions and reference architectures.
- Candidates should possess strong collaboration and leadership abilities, including mentoring engineers, influencing technical direction, and communicating complex concepts to non-technical stakeholders.
- Relevant qualifications include a bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field, and demonstr

📌 Principle Generative AI Engineer (Canada)
🏢 Accion Labs
📍 Canada