Principal Data Scientist, Agentic AI Technical Lead

🔥 47 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Provide technical oversight of all agentic AI workstreams from problem framing and design through evaluation, deployment, and ongoing operation • Define technical strategy and reference architecture for agentic systems, including multi-agent orchestration, tool and function calling, RAG patterns, vector databases, embeddings, and streaming responses • Manage technical delivery across streams, resolving blockers and coordinating dependencies • Set standards for model development, experimentation, and research-to-production processes • Establish evaluation frameworks for LLM and agent performance covering quality, safety, hallucination, cost, and latency • Guide scalable ML platforms, pipelines, and workflow orchestration for event-driven, asynchronous operations • Ensure reliability, security, scalability, observability, monitoring, and production debugging • Serve as technical face of the AI/ML program to senior client stakeholders • Co-define the AI roadmap with executive leadership • Translate complex technical concepts for executive, engineering, and business audiences • Align data science, engineering, product, and business teams around shared priorities and measurable outcomes • Lead and influence a large, multi-team delivery organization • Define and champion data science and AI engineering standards • Review and elevate work quality across teams • Mentor technical leads and senior practitioners • Own high-stakes, program-wide technical decisions • Drive the long-term technical vision for agentic AI practice

🎯 Requirements

• 12+ years of experience in data science and AI/ML • Record of taking AI systems from research to production at enterprise scale • Proven track record leading technical delivery across multiple concurrent workstreams or teams • Experience leading or technically overseeing large multi-team programs, including managing technical risk, dependencies, and delivery quality • Exceptional stakeholder management and communication skills, including credibility with senior executives and client leadership • Hands-on experience with LLM and agentic systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG architectures, vector databases, embeddings, and streaming LLM responses • Deep expertise in model evaluation, experimentation design, and applied statistics, including evaluation approaches for generative and agentic systems • Strong proficiency in Python and the modern data science and ML stack • Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility • Strong software engineering fundamentals, including system design, API design, code quality, and unit testing practices • Experience with distributed systems, event-driven architectures, and workflow orchestration tools • In-depth experience with AWS, especially Amazon Bedrock; working knowledge of other cloud platforms • Familiarity with SQL and NoSQL databases, including scalable design patterns • Working knowledge of AI governance, responsible AI, and compliance considerations in production environments • Experience supporting AI programs in regulated industries such as life sciences, healthcare, or financial services • Experience in a consulting or client-facing technical leadership role • Background in fine-tuning, evaluation automation, or agent safety and guardrails

🏖️ Benefits

• Production-ready AI shipped in 30 to 45 days • Opportunity to work on AI systems integrating into enterprise operations • Opportunity to work with experienced teams averaging fifteen-plus years of experience