AI Developer Senior

About the role

We’re looking for someone to join a dynamic and innovative team to build production‑grade AI systems that help boost velocity across Software Engineering, Infrastructure, Security, and IT Services teams. You’ll design agentic automations, leveraging access to data and tools, to drive productivity enhancements grounded in safety, reliability, and measurable impact. This role blends hands‑on building with platform thinking; creating and shipping capabilities that other teams can adopt and extend.

• Partner with domain teams to identify high‑ROI use cases.
• Prototype, build, and own production‑ready (scalable, observable, secure) AI solutions, leveraging leading LLMs and Agentic AI platforms.
• Drive adoption of solutions through demos and user training.
• Improve productivity throughout the entire SDLC process with AI solutions, from Requirements and Design phase to Coding and Testing to Deployment and Runtime Operations.
• Improve AI‑driven testing, troubleshooting, incident triaging, root cause analysis, and automation of repetitive workflows with verifiable outcomes.
• Build agentic automation, orchestrate multi‑step workflows that plan tasks, call tools/APIs, and execute autonomously with clear guardrails.
• Implement RAG pipelines, ingest documents, create embeddings, index vectors, retrieve and rerank results, and ground outputs with citations.
• Develop system prompts, templates, and structured outputs (e.g., JSON) with versioning and evaluation.
• Set up tracing, relevance/factuality evaluations, and dashboards for cost, latency, and quality metrics.
• Contribute to best practices, patterns, and internal enablement materials.

• Agent frameworks: hands‑on experience with frameworks such as Lang Chain/Lang Graph, CrewAI, ADK, and Agent Flow for scalable agent workflows.
• Interface design, MCP integration, context engineering, long/short memory, planning, and control flows.
• LLM integration: experience building with Vertex AI/Gemini, AWS Bedrock, OpenAI, and Anthropic APIs.
• Retrieval expertise: embeddings, vector databases (Pinecone, Weaviate, Milvus, pgvector), hybrid search, and reranking; observability, caching, batching, and token budgeting for performance.
• SDLC excellence: strong software engineering practices with AI‑driven design, testing, and CI/CD integration; practical experience with cloud providers, identity/permissions, secrets, reliability, Kubernetes/serverless, message queues, and various common cloud capabilities.

• 7+ years in software engineering, data/ML engineering, or platform engineering; 2+ years building solutions with LLMs.
• Proficiency in Java, Python, and/or Type Script; experience building production services and integrations.
• Excellent knowledge of cloud platforms (GCP/AWS), containerization (Docker/Kubernetes), and modern CI/CD.
• Strong communication skills and a product mindset—able to translate operational pain points into robust solutions.
• For candidates located in Quebec, bilingualism (English and French) is required.
• Must be eligible to work in Canada; no Canadian work experience required.
• No sponsorship for immigration‑related matters is provided; candidates must maintain work eligibility independently.

• Salary range (35‑hour workweek): $118,700 – $145,100.
• Annual bonus target: 12% of base salary, with a potential payout of up to double the target (subject to personal and company performance).
• Employee Share Purchase Plan (ESPP) with Intact matching 50% of net shares.
• Defined benefit pension plan offering guaranteed income for life.
• Additional flexible benefits: telemedicine, wellness account, possibility to purchase up to 5 extra days off per year.

We are an equal‑opportunity employer. Intact values diversity and inclusion and encourages applications from women, Indigenous peoples, persons with disabilities, Black people, and members of the 2

SLGBTQI+ community. We provide accommodations for disabilities and have policies ensuring equal access and participation for all employees.