AI Technical Lead
Lead the end-to-end architecture for RAG pipelines and agent frameworks while ensuring scalability and latency optimization. Develop custom evaluation harnesses and mentor developers on AI security and deployment practices.
- On-site
- Toronto, ON
- Posted Aug 5, 2026
- Apply by Sep 4, 2026
- 1 position
Job summary
Title: AI Technical Lead Location: Onsite at any nearby Infosys office Job Type: Contract Job Description 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 safe deployment practices. Establish coding standards and architectural guardrails. Mandatory skills : AI Technical Lead :- 5+ years with a track record of leading teams and architecting complex AI systems in production environments. Candidates should have deep technical expertise and leadership skills. Desired skills: Experience building transparent AI systems using standard libraries and HTTP clients, Hands-on FastAPI server development, Experience with structured extraction (JSON schemas, Pydantic) and advanced prompting Thanks Aatmesh [email protected]
What you’ll do
Lead the end-to-end architecture for RAG pipelines and agent frameworks while ensuring scalability and latency optimization. Develop custom evaluation harnesses and mentor developers on AI security and deployment practices.
Requirements
Requires over 5 years of experience leading teams and architecting complex AI systems in production. Candidates should have hands-on experience with FastAPI, structured extraction, and advanced prompting techniques.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AI Architecture
- RAG Pipelines
- Agent Frameworks
- Distributed Inference Systems
- LLM Reasoning
- FastAPI
- Pydantic
- JSON Schemas
- Advanced Prompting
- AI Security
- Token-economics
- Multi-agent Collaboration
Job areas
- Software
- Technology
- Management & Leadership
- Data & Analytics
- Consulting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 4, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Director
- Application method
- Direct apply is available