AI Solutions Architect (GenAI & Agentic AI)

Location: Remote; Toronto, Ontario

Salary: CAD 160,000–190,000 per year

Company

hirify.global is a data and technology company delivering data platforms, cloud technologies, artificial intelligence, and scalable software engineering solutions for Fortune 500 clients.

What you will do

• Partner with enterprise clients and stakeholders to identify AI opportunities and translate business requirements into scalable GenAI and agentic AI solutions.
• Lead technical discovery sessions, architecture workshops, solution design discussions, and presentations of architectural trade-offs and implementation strategies.
• Design and build end-to-end AI architectures and applications using LLMs, RAG, embeddings, vector search, prompt engineering, tool/function calling, and enterprise integrations.
• Architect multi-agent systems and intelligent workflows integrating LLMs with APIs, databases, business applications, external tools, and structured and unstructured enterprise data.
• Develop Python services, API integrations, reusable components, and document-processing solutions including PDF extraction, OCR, image processing, classification, retrieval, and summarization.
• Establish evaluation, testing, observability, guardrail, human-in-the-loop, deployment, troubleshooting, and continuous-improvement practices for reliable enterprise AI operations.

Requirements

• 8+ years of overall experience in software engineering, solution architecture, AI/ML engineering, or related technical roles, including at least 2 years of hands-on experience developing Generative AI applications and LLM-powered solutions.
• Demonstrated experience designing and building AI agents, agentic workflows, and multi-agent applications.
• Strong practical knowledge of LLMs, RAG architectures, embeddings, vector databases or vector search, prompt engineering, and tool/function calling.
• Experience processing unstructured data such as PDFs, documents, OCR outputs, images, and other enterprise content.
• Strong Python development skills, including API development, integration patterns, debugging, and software engineering best practices.
• Experience with LangChain, LangGraph, or equivalent agent orchestration technologies.
• Familiarity with Databricks AI capabilities, particularly AI Functions, AI Search/Vector Search, Model Serving, and MLflow.
• Experience with AI evaluation frameworks, hallucination testing, guardrails, human-in-the-loop patterns, and AI observability.
• Ability to assess AI architecture proposals, review code and agent workflows, and provide actionable technical recommendations.
• Experience deploying AI applications to production with consideration for scalability, security, monitoring, and cost optimization.
• Strong communication and presentation skills, including the ability to explain technical concepts, trade-offs, and recommendations to enterprise clients.
• Proven ability to collaborate with client stakeholders, technology partners, and multidisciplinary engineering teams.

Culture & Benefits

• Remote workplace arrangement.
• Inclusive and diverse working environment.
• Equal-opportunity employment supporting applicants across backgrounds and identities.
• Interview accommodations are available upon request.