Drive the architecture and technical direction of AI/ML systems across multiple teams within Diligent's Platform AI organization. Design and scale secure, fault-tolerant AWS Serverless solutions, including LLM integration, RAG, and vector search systems. Mentor senior engineers and partner with researchers to translate AI research into production-grade commercial systems.
Key Highlights
Lead technical direction for ML/LLM systems across multiple AI platform teams
Design secure, scalable AWS Serverless solutions with infrastructure as code
Mentor Staff Software Engineers and Applied Scientists through code review and design partnership
Key Responsibilities
Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams
Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology
Evaluate and prototype new AI technologies to guide build-vs-buy decisions
Serve as the go-to contact for architecture problems and guide architecture discussions department-wide
Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership
Collaborate with Applied Scientists and Product teams to productize AI capabilities
Design, build, and scale search and retrieval systems including OpenSearch and semantic/vector search
Lead through ambiguity, helping teams navigate undefined problems to successful delivery
Technical Skills Required
Python
Amazon Web Services
Large Language Models
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Benefits & Perks
Comprehensive health benefits
Generous time off policy
Wellness programs
Global days of service
Meeting free days
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Nice to Have
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Mathematics, or a related field
Job Description
Position OverviewAs a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite.You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems.Key Responsibilities
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