Technology Lead-AI Technical Lead

• Candidate must be located within commuting distance of Calgary Canada or be willing to relocate to the area. This position may require travel in Canada.
• Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of Information Technology experience.
• Candidates authorized to work for any employer in the Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

• 8 years of overall technology experience with 5 years in Contact Center and Conversational AI architecture.
• 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
• Proven leadership delivering production-grade ML/AI systems.
• Strong foundations in vector math LLM internals embeddings agent frameworks and evaluation science.
• Knowledge of Googles GECX is a strong bonus.
• Expertise in systems-level programming distributed architecture and performance-critical code.
• 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.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.