AI Architect – Enterprise Strategy
CanadaFull-TimeSenior
SalaryCompetitive compensation package aligned with senior AI architecture expertise.
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Job Details
- Experience
- 6–10 years
- Required Skills
- AWSPythonCloud ComputingGCPAzureMLOpsGenerative AILangChain
Requirements
- 6–10 years of experience in AI, machine learning, software engineering, or technical consulting roles.
- Strong hands-on experience building and deploying real-world Generative AI or agent-based systems.
- Deep understanding of autonomous agent architecture, including reasoning, planning, and tool use.
- Strong Python proficiency with experience using frameworks such as LangChain, LlamaIndex, AutoGen, or similar.
- Experience working with major cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
- Proven ability to translate complex technical concepts into clear business value for executive stakeholders.
- Strong background in MLOps, model governance, and production-grade AI deployment practices.
- Excellent communication, consulting, and stakeholder management skills in enterprise environments.
Responsibilities
- Lead the design and hands-on development of enterprise-grade Generative AI and autonomous agent systems.
- Translate strategic business objectives into scalable AI architectures, workflows, and production-ready solutions.
- Facilitate executive-level workshops to define AI strategy, identify use cases, and assess data readiness.
- Build and deploy AI solutions using LLMs, vector databases, and orchestration frameworks across enterprise environments.
- Implement robust MLOps practices including monitoring, testing, governance, and bias mitigation.
- Integrate AI systems into enterprise platforms such as Salesforce, Workday, and cloud ecosystems (AWS, Azure, GCP).
- Continuously evaluate emerging AI tools, frameworks, and platforms to drive innovation and competitive advantage.
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