29 Aug
|
Infosys
|
Calgary
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. Infosys is hiring 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. Bachelor’s degree or foreign equivalent required from an accredited institution. At least 4 years of Information Technology experience. Infosys is unable to provide immigration sponsorship for this role at this time.
The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. 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. ~ 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: 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. ~ Robust foundations in vector math, LLM internals, embeddings, agent frameworks, and evaluation science.
~ Knowledge of Google’s GECX is a strong bonus. ~ Expertise in systems-level programming, distributed architecture, and performance-critical code. ~ Expertise designing distributed AI systems, multi-agent frameworks, and scalable RAG pipelines. ~ Ability to design adversarial tests, regression suites, and domain-specific scoring functions. ~ AI Security: Tokenomics: Ability to optimize token usage, context windows, and cost-latency trade-offs. ~ 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. 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. religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; or disability. #
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