Senior Ai Engineer - Evisort Ai

# Senior AI Engineer - Evisort AIWorkdayCanada, BC, VancouverFull-timeAI tools:LangChainLlamaIndexUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageYou’ll build and operate AI-powered products for Workday’s contract intelligence offerings, using large language models and related systems to deliver tailored user experiences. The role combines backend and distributed-systems engineering with AI integration, deployment, evaluation, and production operations.* Permanent* On-site* 8+ years* Bachelor’s Degree (Master’s preferred)### Skills and expertiseLarge language modelsLangChainLlamaIndexDistributed systemsPythonDockerKubernetesAWS### Key responsibilities* Develop and deploy AI-powered products and services across Workday’s product ecosystem.* Build reliable AI workflows and application layers, and evaluate model outputs against product requirements.* Operate scalable AI pipelines and production services, emphasizing quality, security, and continuous improvement.## How this job comparesCompared with 410 open senior machine learning jobs on October 10, 2026.Similar open jobs:
We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.Remote work:
This job is on site. 90 of the 410 senior machine learning jobs (22%) are remote.AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. The role directly integrates LLMs and foundation models into enterprise products and builds AI orchestration workflows. It also covers deploying, evaluating, and managing AI pipelines in production.## Full descriptionYour work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamJoin the Evisort AI team at Workday, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks. We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses. You will be joining the Evisort AI team, which functions as a startup within Workday. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday's incredible customer base of 70M+ users.About the RoleAs an AI Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver AI solutions across Workday's product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines. You will develop and deploy new products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers.In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product approach and strong intuition around how AI can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role.About YouBasic Qualifications - 8+ years of professional software engineering experience, with a heavy emphasis on backend architecture, distributed systems, and a proven track record of shipping high-availability production code at scale. Strong fundamental software engineering skills (system design, scalability, and performance optimization) are a non-negotiable primary qualification for this role. - 3+ years of experience integrating AI capabilities (LLMs, Foundation Models) into enterprise products, framed within the context of robust software service extensions. - 1-2+ years building with AI orchestration frameworks (e.G., LangChain, LlamaIndex) with a focus on creating predictable, reliable, and maintainable agentic workflows. - 4+ years of proven experience leveraging cloud computing platforms (e.G., AWS, GCP, Azure) to deploy highly responsive, scalable systems. - 2+ years of hands-on experience deploying and operating services in containerized, cloud-native environments (Docker, Kubernetes), with exposure to infrastructure-as-code and GitOps tooling (e.G., Terraform, Helm, ArgoCD).Other Qualifications - Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field. - Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning or large models directly to solve practical end-user challenges. - System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models, establishing reusable patterns for system predictability, error handling, and seamless UX integration. - Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and setting up automated evaluation metrics (e.G., assessing retrieval quality and agentic behavior).#J-18808-Ljbffr