This is a hands-on engineering role with strong design responsibility — you will spend most of your time writing code, integrating systems, and taking solutions to production, while also shaping practical, scalable designs that ensure what you build can operate reliably at enterprise scale.
You will work closely with business stakeholders to identify high-value opportunities, rapidly prototype solutions, and evolve them into well-architected, production-grade systems.
What You Will Be Responsible For:
- Design, develop, and deploy AI-powered applications and workflows
- Write production-quality code across:
- Backend services and APIs
- AI orchestration layers and agents
- Enterprise integrations
- Rapidly prototype solutions and iterate them into scalable production systems
- Own delivery end-to-end: build, test, deploy, monitor, and improve
- Translate use cases into clear, implementable system designs
- Make architecture decisions that balance:
- Speed of delivery
- Scalability and reliability
- Cost and operational efficiency
- Define patterns for:
- API-first integrations
- AI orchestration and workflows
- Reusable services and components
- Ensure systems are simple enough to build quickly, but structured enough to scale
- Embed LLM capabilities into products, internal tools, and business processes
- Build and maintain APIs and system integrations
- Implement agent workflows and orchestration logic that solve real operational problems
- Optimize systems for performance, resilience, and cost efficiency
- Work directly with stakeholders to understand problems and validate solutions
- Translate requirements into working software quickly (days/weeks, not months)
- Iterate based on feedback and usage to drive measurable impact
- Build and contribute to shared libraries, templates, and services
- Establish practical patterns based on real implementations
- Help evolve internal platforms through code and working solutions, not just design artifacts
- Implement secure and reliable AI solutions in practice, including:
- Prompt safety and validation
- Injection/misuse prevention
- Observability and traceability
- Align implementations with enterprise security, privacy, and compliance requirements
- Cloud & Platform: Microsoft ecosystem (Azure)
- AI Models: Claude and other enterprise-approved LLMs
- Architecture Style: API-first, event-driven, and modular services
- Core Focus:
- AI application engineering
- Orchestration and agent workflows
- Enterprise integrations
You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.
1. Build & Ship AI Applications (Primary Focus)
2. Design Practical, Scalable AI Systems
3. Integrate AI into Real Enterprise Workflows
4. Partner with Business & Deliver Outcomes
5. Contribute to Engineering Standards & Reuse
6. Build Within a Governed AI Environment
Technology Environment
What you bring:
- Proven ability to build and ship production systems at scale
- Strong experience in:
- Backend development and API design
- Cloud-native systems (Azure preferred)
- Integration-heavy, distributed applications
- Comfortable operating in a high-output, hands-on environment
- Ability to design clean, practical architectures that support real-world constraints
- Experience making trade-offs across:
- delivery speed vs scalability
- simplicity vs flexibility
- Can move fluidly between coding and design thinking
- Hands-on experience building LLM-powered applications in production
- Strong understanding of:
- Prompt design and evaluation
- Agent-based workflows and orchestration
- Integrating AI into production systems
- Ability to debug, tune, and improve AI behavior in code
- Bias toward shipping and learning from production usage
- Comfortable moving from idea → prototype → production
- Strong ownership: you build it, you run it
Hands-On Engineering Strength (Critical)
System Design & Architecture Judgment
AI / GenAI Development
Execution Mindset
Skills Required
- Proven ability to build and ship production systems at scale
- Backend development and API design experience
- Experience with cloud-native systems (Azure preferred)
- Experience building LLM-powered applications in production
- Experience designing and implementing agent-based workflows and AI orchestration
- Ability to translate use cases into practical, scalable system designs
- Experience with enterprise integrations and distributed systems
- Experience with prompt design, evaluation, and safety/validation practices
- Ability to own delivery end-to-end: build, test, deploy, monitor, and improve
- Strong execution mindset and ability to iterate from prototype to production quickly
What We Do
MakeBank on everyday banking: Earn high interest on every dollar Say no to fees No minimum balances Powered by Equitable Bank, a Schedule I Canadian Bank EQB Inc. (formerly Equitable Group Inc.) trades on the Toronto Stock Exchange (TSX: EQB and EQB.PR.C), directly serves over 607,000 Canadians through its wholly owned subsidiary Equitable Bank, Canada's Challenger Bank™, and serves over 200 Canadian credit unions that serve over 6 million of their members with products and services. Equitable Bank has grown to become Canada's 7th largest independent Schedule I bank with over a $119 billion in assets under management and assets under administration, and a clear mandate to drive real change in Canadian banking to enrich people's lives. At Equitable Bank, we are as invested in our employees as we are in our business. That’s why we are consistently recognized as one of Canada's Top Employers – a rating that comes from our 1,800 employees. Equitable Bank’s inclusive, welcoming, and pride-inducing workplace earned it the honour of being recognized as one of the top 50 organizations on the 2023 list of Canada’s Best Workplaces™. Founded over 50 years ago, Equitable Bank provides diversified personal and commercial banking, and through its EQ Bank platform (eqbank.ca), which has been named #1 Bank in Canada for three consecutive years on the Forbes World's Best Banks list for 2021, 2022, and 2023. Equitable Bank website: www.equitablebank.ca EQ Bank website: www.eqbank.ca Specialties Lending, Mortgages, Residential Lending, Commercial Lending, Reverse mortgages, Insurance lending, Equipment leasing , Credit Union, Trust, and Funds Management
