Role : AI Technical Lead With Google’s GECX

Location : Brampton, Ontario, Canada

Long Term Contract
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 (structured reasoning, tool-use optimization, memory systems, multi-agent collaboration).
Technical Mentorship: Coach developers on AI security, token-economics, UX patterns, and secure deployment practices. Establish coding standards and architectural guardrails.

Required Qualifications
Proven leadership delivering production-grade ML/AI systems.
Robust foundations in vector math, LLM internals, embeddings, agent frameworks, and evaluation science.
Knowledge of Google’s GECX is a robust bonus.
Expertise in systems-level programming, distributed architecture, and performance-critical code.

Skillset Requirements




Systems Architecture: Expertise designing distributed AI systems, multi-agent frameworks, and scalable RAG pipelines.
LLM Internals: Deep understanding of transformer mechanics, attention patterns, tokenization,

and inference optimization.
Evaluation Science: Ability to design adversarial tests, regression suites, and domain-specific scoring functions.
AI Security: Knowledge of jailbreak prevention, prompt-injection defense, secure tool-use, and zero-trust agent routing.
Tokenomics: Ability to optimize token usage, context windows, and cost-latency trade-offs.
Distributed Systems: Experience with load balancing, sharding, concurrency, and high-availability inference clusters.
Observability: Familiarity with tracing, logging, telemetry, and agent-level debugging.
DevOps for AI: CI/CD for model updates, containerization, GPU orchestration, and rollout strategies.
Mentorship & Leadership: Ability to enforce engineering discipline, code quality, and architectural guardrails.
Responsible AI & Governance: Guardrail design, content-safety policy, and audit/traceability for regulated deployments.

📌 Ai Technical Lead With Google’s Gecx Toronto
🏢 Ampstek
📍 Toronto