Senior Software Engineer, AI – Enterprise Data Fabric

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Design and build the AI harness layer between LLMs, agents, Databricks, governed data products, and enterprise applications • Build reusable runtimes for tool calling, context assembly, planning, state management, retries, approvals, observability, evaluation, and fallback behavior • Connect agent workflows to Databricks, Delta Lake, Unity Catalog-style metadata, notebooks/jobs, SQL endpoints, cloud storage, and governed data products across GCP and Azure • Create safe agentic data workflow patterns for querying, transforming, summarizing, enriching, and acting on enterprise data while enforcing policy, provenance, lineage, and human-in-the-loop controls • Design isolation boundaries across data, compute, identity, metadata, tools, prompts, memory, network paths, secrets, and execution context for multi-tenant workloads • Deliver APIs, SDKs, libraries, reference implementations, templates, and operational runbooks • Support team members and cross-functional stakeholders in AI system initiatives

🎯 Requirements

• Strong software engineering background with experience building distributed systems, platform services, APIs, and production-grade frameworks • Hands-on experience with Databricks and/or modern cloud data platforms, preferably across GCP and Azure • Deep understanding of LLM integration patterns, agent orchestration, tool use, structured generation, retrieval, evaluation, and guardrails • Practical knowledge of Data Fabric concepts, metadata, lineage, governance, semantic models, and enterprise data access patterns • Experience designing secure multi-tenant systems with strong isolation across data, compute, identity, and runtime execution • Ability to set architectural direction, write code, prove patterns, and turn prototypes into durable platform capabilities

🏖️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off) • Flexible work options • Physical and mental well-being programs • Regularly scheduled virtual fitness classes • Mentorship programs, training, and career development • Recognition programs and referral rewards • Hackathons