Senior AI Solutions Engineer

Compunnel Inc.; Montreal; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm is seeking a Senior AI Solutions Engineer to join their Global Securities Settlements Technology team in Montreal, Canada. The role demands a strong expert in building and scaling AI frameworks and applications using modern cloud-native patterns. Candidates must have at least 6 years of experience in developing production-grade systems, proficiency in Java or Python, and a robust understanding of AI-powered application development. The organization offers a dynamic environment to enhance AI adoption company-wide.

Qualifications

• 6+ years of experience building and operating production full stack systems at scale.
• Strong foundation in system design, scalability, resiliency, security, and observability.
• Applied GenAI expertise including RAG, LLM integration/orchestration.

Responsibilities

• Build and scale innovative AI solutions.
• Design and deliver production-grade AI-enabled applications.
• Integrate AI into enterprise platforms maintaining strong engineering discipline.

Skills

AI-first mindset

Production full stack systems experience

Hands-on with distributed architectures

System design expertise

AI/GenAI application building

Java and/or Python proficiency

CI/CD experience

Job description

We are seeking a highly skilled Senior AI Solutions Engineer to join our Global Securities Settlements Technology team. This role focuses on building reusable AI frameworks, patterns, and reference architectures that accelerate AI adoption across the firm. Operating at the intersection of software engineering, applied AI, and platform thinking, you will enable teams to deliver AI-powered solutions faster, safer, and at scale.

Key Responsibilities

• Build and Scale AI Solutions
• Design and deliver production-grade AI-enabled applications using modern full stack and cloud-native patterns
• Develop reusable AI frameworks and reference implementations (e.g., RAG, document processing, agent/workflow patterns)
• Integrate AI into enterprise platforms with strong engineering discipline (clean code, automation, observability, reliability)
• Apply AI with an AI First Mindset
• Use AI to accelerate delivery, reduce friction, and scale outcomes
• Implement applied GenAI patterns including RAG, prompt/tool orchestration, agentic workflows, and evaluation with guardrails
• Enable Teams and Drive Engineering Excellence
• Simplify complex AI implementations into repeatable patterns Mentor engineers and lead architecture/design reviews to raise quality and consistency
• Partner with stakeholders on requirements and milestones
• Own DevOps hygiene (CI/CD, automated testing, telemetry, monitoring) and drive continuous improvement

Required Qualifications

• AI -first builder mindset with strong technical communication skills
• 6+ years of experience building and operating production full stack systems at scale
• Hands-on experience with distributed, cloud-native architectures (APIs, data, event-driven systems)
• Strong foundation in system design, scalability, resiliency, security, and observability
• Proven experience building AI/GenAI-powered applications in production environments
• Applied GenAI expertise including RAG, LLM integration/orchestration, prompt design, and evaluation/guardrails
• Proficiency in Java and/or Python with modern frameworks (e.g., Spring Boot, Python services)
• Experience with CI/CD, automated testing, and production observability

Preferred Qualifications

• Public cloud experience (Azure preferred)
• Experience building internal platforms, frameworks, or developer tooling
• Familiarity with vector databases, embeddings, Kafka, or high-volume messaging systems
• Experience in regulated or financial services environments
• Experience working with globally distribauted engineering teams

Certifications

• None required; cloud or AI-related certifications are a plus