Senior AI Engineer (Agentic AI)

Keyrus Canada • Montreal, QC

23h • Hybrid

About The Position

As Senior AI Engineer at Keyrus, your objective would be to own the end-to-end definition and delivery of AI-driven solutions for our clients and internal teams, from business-case analysis and platform selection through architecture, prototyping, and production rollout, while setting technical standards, contributing to pre-sales, mentoring engineers, and shaping our agentic AI practice.

Requirements

• Degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience.
• 5+ years in software/AI/data engineering, including hands-on experience shipping generative or agentic AI to production
• Strong Python and solid software-engineering fundamentals (APIs, microservices, version control, testing).
• Hands-on experience building AI agents / tool-using LLMs with an orchestration framework.
• Practical experience with AWS AI services, especially Amazon Bedrock (foundation models, agents, guardrails) and the broader AWS stack (Lambda, API Gateway, S3, IAM).
• Solid grasp of RAG, embeddings, chunking, hybrid/semantic search, reranking, evaluation, vector databases.
• Proven ability to evaluate platforms objectively and make architecture decisions — and justify them to both technical and business audiences.
• A consulting mindset: curiosity, ownership, structured communication, and a collaborative, teamwork-first attitude.

Nice To Haves

• Hands-on experience with Salesforce Agentforce and Data 360.
• Relevant certifications (e.g., AWS Certified AI/ML or Solutions Architect; Salesforce Agentforce / Platform credentials a bonus).
• Experience comparing and integrating multiple agent platforms within a single architecture.
• Familiarity with responsible AI, model governance, security, and guardrails in enterprise settings.
• Experience with Anthropic Claude, Claude Code, Skills, Plugins, and MCP servers.
• Industry domain knowledge (financial services, retail, supply chain, healthcare).
• Knowledge of regulatory and privacy frameworks (e.g., GDPR).
• Exposure to front-end (React) for building demos and copilots.
• Experience in a consulting / client-facing environment is highly valued.

Responsibilities

• Translate business objectives into AI solutions — work directly with clients and stakeholders (executives, managers, and technical teams) to understand challenges, quantify value, and define success metrics before building.
• Lead platform and tooling decisions: evaluate and recommend the right approach for each use case, staying true to our vendor-agnostic DNA: AWS, Azure, Salesforce, a custom orchestration stack, and others, based on data gravity, integration, cost, governance, and time-to-value. Deliver clear trade-off analyses that executives and engineers both understand.
• Architect agentic & generative AI systems: design multi-agent workflows, RAG pipelines, tool/function calling, memory and state management, guardrails, and human-in-the-loop fallbacks.
• Build, hands-on: develop production-grade agents and automations with LangChain, LangGraph, Bedrock AgentCore, and other tools to integrate with enterprise systems (CRM, ERP) via APIs.
• Own quality and reliability: implement evaluation pipelines, observability, prompt/version management; optimize latency, cost, and accuracy of inference.
• Deliver PoCs, demos, and production solutions: move ideas from prototype to scaled deployment with proper CI/CD and AI and MLOps practices.
• Contribute to pre-sales and solutioning: shape solution offerings, support proposals, and bring market knowledge and technical credibility to client conversations.
• Lead and mentor: provide guidance to engineers and interns, define best practices, and help build and scale our AI practice.
• Stay ahead: keep pace with a fast-moving field (new models, frameworks, MCP, agent protocols) and bring well-judged ideas to clients and teams.

Benefits

• Group insurance for you and your family members
• RRSP and DPSP participation plan
• Monthly Wellness Allowance
• Reimbursement of telecommunication costs
• 4 weeks of paid vacation
• Language courses (French & English)
• Access to continuing education (in-house, conferences, events, courses, certifications, etc.)
• Development plan for each employee and coaching

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree