AI Technical Lead

AI Technical Lead Toronto, Brampton, Canada-Onsite Contract Job Description AI Technical Lead A visionary systems-level architect who treats AI as an engineering discipline, not an experimentation playground. About the Role The AI Technical Lead owns the architectural backbone of our AI ecosystem. You will steer the design of RAG systems, agentic orchestrations, evaluation harnesses, and deployment patterns that scale across enterprise workloads. You will mentor developers, enforce engineering discipline, and ensure our AI stack remains transparent, debuggable, and future-proof. What You Will Do • Architectural Leadership: Define and evolve the end-to-end architecture for RAG pipelines, agent frameworks, and distributed inference systems. Prioritize scalability, latency, and UX-aligned output determinism. • Rigorous Evaluation: Build custom evaluation harnesses for AI agents, RAG, and LLM reasoning. Move beyond out-of-the-box metrics with domain-specific scoring, adversarial tests, and regression suites. • Advanced AI Paradigms: Continuously integrate cutting-edge methodologies including structured reasoning, tool-use optimization, memory systems, and multi-agent collaboration. • Technical Mentorship: Coach developers on AI security, token-economics, UX patterns, and safe deployment practices. Establish coding standards and architectural guardrails. Required Qualifications • Proven leadership delivering production-grade ML/AI systems. • Strong foundations in vector math, LLM internals, embeddings, agent frameworks, and evaluation science. • Knowledge of Google GECX is a strong bonus. • Expertise in systems-level programming, distributed architecture, and performance-critical code. Contact: Snehil Mishra 📧 [email protected] 📞 Desk: 609-360-2673 Ext. 125 🔗 LinkedIn 🌐 www.ampstek.com

The AI Technical Lead is responsible for designing the architectural backbone of the AI ecosystem, focusing on RAG pipelines and agent frameworks. They will mentor developers and establish rigorous evaluation harnesses to ensure scalable and debuggable production-grade AI systems.

Candidates must have proven leadership in delivering production-grade ML/AI systems and strong foundations in LLM internals and vector math. Expertise in systems-level programming and distributed architecture is required, with knowledge of Google GECX being a strong bonus.

Identified from the job description. Confirm important requirements above.

• RAG Systems
• Agentic Orchestration
• LLM Reasoning
• Distributed Architecture
• Vector Math
• Embeddings
• Systems-level Programming
• AI Security
• Token-economics
• Evaluation Science
• Google GECX
• Multi-agent Collaboration

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting

Minimum experience

5+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available