Principal Development Architect

SAP
Montreal
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Technical leadership","Mentoring","Customer interaction","Problem-solving","Teamwork","Agile/pragmatic mindset","Collaboration"]

Design and lead the implementation of scalable, ethical, secure, production-ready Industry AI solutions from proof of concept to production. Define technical architecture and development strategy for generative AI applications, including LLM integration, RAG, embeddings, vector databases, agents, and AI orchestration. Partner with product, data science, UX, and enterprise architects to ensure enterprise-grade security, reliability, scalability, and maintainability, while mentoring engineers and establishing engineering practices and reusable patterns.

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FursaFursa
SAP
SAP
2 hours ago

Principal Development Architect

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Last checked: 2 hours agoStatus: Live

Job Summary

Design and lead the implementation of scalable, ethical, secure, production-ready Industry AI solutions from proof of concept to production. Define technical architecture and development strategy for generative AI applications, including LLM integration, RAG, embeddings, vector databases, agents, and AI orchestration. Partner with product, data science, UX, and enterprise architects to ensure enterprise-grade security, reliability, scalability, and maintainability, while mentoring engineers and establishing engineering practices and reusable patterns.
Location: Montreal
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Articulate AI concepts and cloud architecture solution options to product owners and architecture work groups.
  • •Lead development of AI applications from proof of concept through production deployment.
  • •Define technical architecture and development strategy for AI and Generative AI solutions.
  • •Design scalable architectures integrating LLMs/AI services, APIs, enterprise applications, databases, and cloud platforms.
  • •Provide technical leadership, including mentoring engineers and establishing coding standards, code reviews, development patterns, and CI/CD practices.
Travel: Medium travel

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • •5+ years of software development or solution architecture experience designing enterprise applications.
  • •Advanced hands-on experience with Generative AI/LLMs and building AI applications integrated with enterprise systems.
  • •Advanced experience with Java or Node, Python, REST APIs, unit testing, databases, and at least one cloud platform (SAP BTP, AWS, GCP, or Azure).
  • •Strong cloud-native development skills including microservices/event-driven architectures, Kubernetes, Git, CI/CD, and SQL, with knowledge of AI security and responsible AI.
Experience:5+ yearsEnterprise softwareGenerative AIMachine learningCloud-nativeMicroservicesCloud platforms
Education:Bachelor's in Computer Science, Software Engineering, Artificial Intelligence, or related field
Skills:CommunicationTechnical leadershipMentoringCustomer interactionProblem-solvingTeamworkAgile/pragmatic mindsetCollaboration
Languages:EnglishFrench
Tech Stack:JavaNodePythonREST APIsUnit TestsDatabasesSAP BTPAWSGCPAzureKubernetesGitCI/CDSQLGenerative AILLMsMicroservicesEvent-driven architecturesCloud-native developmentCloud Foundry

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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