Senior AI Engineer/Applied AI Specialist – Building Enterprise AI Use Cases and Model Development; AWS, ML, GenAI
Remote / Online - Candidates ideally in
Victoria, British Columbia, Canada
Listing for:
S.i. Systems
Contract, Remote/Work from Home
position
Listed on 2026-02-15
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Senior AI Engineer / Applied AI Specialist – Building Enterprise AI Use Cases and Model Development (AWS, ML, GenAI) -
Location: VictoriaDuration: 6 Months to start (high possibility of extension)
Location:
Remote (EST Hours Preferred)
Our client is in the early stages of building enterprise AI capabilities and is seeking a Senior AI Engineer / Applied AI Specialist to help design, develop, and scale initial AI and machine learning use cases.
This role is highly hands-on and exploratory. The successful consultant will act as a technical SME, supporting model development, AI agent experimentation, and architectural decision-making while helping guide the team toward a scalable, future-ready AI approach.
The environment is green, making this an ideal role for someone who enjoys shaping direction, working through ambiguity, and building from first principles.
Key Responsibilities
Design, build, and deploy AI and ML use cases aligned to business needsDevelop and evaluate machine learning models, including experimentation and iterationSupport early-stage AI agent development and GenAI use casesProvide technical guidance on AI architecture, tooling, and best practicesCollaborate with data engineering and platform teams to ensure AI solutions are production-readyAdvise on the selection and use of AI services and platforms as the tech stack evolvesHelp establish foundational AI development standards, patterns, and workflowsMentor and support team members through knowledge sharing and technical leadershipBalance hands-on delivery with advisory input as the AI capability maturesArchitect workflows, eliminate operational inefficiencies, and rapidly ship automations that unlock leverage across every function.Stay updated with the latest in LLMs, agent orchestration frameworks, and AI toolingMust-Have Requirements
Experience building and shipping Agentic AI / LLM-driven tools & productsBuild scalable APIs for model access, integration, and service orchestrationProficiency in RAG architectures, including vector stores (e.g., Pinecone, Weaviate), embedding models, and retrieval tuningHands-on development experience in n8n and complementary no-code/low-code tooling.Senior-level experience in AI / Machine Learning / Data ScienceStrong background in model development, training, and evaluationExperience building applied AI solutions in real-world environmentsHands-on experience with AWS AI/ML services, such as:Sage MakerBedrockOther AWS-native AI servicesStrong Python experience and familiarity with common ML frameworksAbility to operate effectively in ambiguous, early-stage environmentsStrong communication skills and ability to influence without direct authorityComfortable acting as both builder and advisor
Position Requirements
10+ Years
work experience
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