Software Architect - AI Accelerated Engineering Lead
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Experience: 6+ years building and operating production software, with proven leadership in system or platform architecture.
- Posting language
- English
- Posted
Original job description
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.
At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Job Title: Architect or Sr. Architect - Accelerated Engineering (For Vacant Role)
MissionAs a Software Architect, you will own the architecture of client solutions while pioneering the next generation of AI-empowered software development. You’ll lead teams in adopting AI-first engineering practices - bringing clarity, structure, and guardrails to how organizations build with generative AI.
Who you’ll work withYou’ll join a tightly knit product team - engineers, product leaders, designers, and data practitioners - who co‑create modern software with our customers. We move from discovery to delivery together, pairing on code, pressure‑testing ideas with real users, and turning learnings into ship‑ready increments. You’ll collaborate with customer stakeholders and field teams to bring outside‑in insights into the roadmap, and you’ll help enable clients on the practices and tools we use so they can sustain value long after launch. Think craft‑driven Builders who care about outcomes, not just output.
What you’ll do- Redefine the AI-first SDLC: Design flows, patterns, and guardrails that integrate generative AI from ideation through operations.
- Lead with context engineering: Apply and guide strategies like prompt templating, embeddings, retrieval-augmented generation, and data grounding to ensure AI-driven development is accurate, reliable, and safe.
- Manage GenAI-driven teams: Orchestrate multi-developer environments where AI agents and engineers work side by side - ensuring productivity, quality, and responsible adoption.
- Ship AI-enabled platforms: Build and codify repeatable practices such as evaluation harnesses, code-review agents, context packs, and CI/CD hooks.
- Stay hands-on: Own product architecture while prototyping and hardening AI-driven solutions using modern DevOps and observability practices.
- Enable and transform: Coach teams and client stakeholders on AI-accelerated ways of working; translate complex AI concepts into clear business outcomes.
- Experience: 6+ years building and operating production software, with proven leadership in system or platform architecture.
- Hands-on AI-accelerated development: Daily use of agentic IDEs and advanced tooling (e.g., GitHub Copilot, Cursor, Claude Code) beyond basic chat interfaces.
- Proven track record with GenAI integration: Experience delivering solutions where multiple developers collaborated with generative AI and AI agents using context engineering strategies.
- Architecture expertise: Deep knowledge of APIs, microservices, eventing, reliability, and security.
- Programming skills: Proficiency in languages like TypeScript/Node, Python, or Java; comfort with React/Next and modern frameworks.
- Cloud & DevOps: Strong background with AWS/Azure/GCP, Kubernetes, CI/CD, IaC, and production observability.
- Leadership & communication: Ability to guide teams, mentor engineers, and articulate value to both technical and business audiences.
- AI orchestration frameworks (LangChain, LlamaIndex), vector databases, or model routing experience.
- MLOps, AI governance, or safety practices.
- Contributions to open source or thought leadership in AI-accelerated engineering.
Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements
Slalom is committed to fair and equitable compensation practices. For the role, we are hiring at the following levels and targeted base pay salary ranges:
- Architect - CAD123,000 to CAD163,000
- Sr. Architect - CAD147,000 to CAD195,000
In addition, there is potential for a 10% discretionary bonus for Architect, and 12% for Sr. Architect, based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.
Slalom Employee Perks:
- Culture & fun!
- Lunch & learns
- Health & wellness activities
- Holiday parties
- Employee community groups
- Social clubs & activities
- Vacation (20 days prorated based on start date & wellness/sick days)
Tangible perks
- Competitive compensation package
- $100 cell phone monthly reimbursement
- Registered Retirement Program (RRSP) & Employer Matching
- Tax-Free Savings Account (TFSA)
- Annual “Thrive Well-Being” Gift Card
- Family planning/ Fertility Benefit
- Maternity/Parental Leave Top-Up
- Medical & Dental Benefits
- Life and AD&D Insurance
- Access to Supplementary Life and AD&D Insurance
- Access to the Employee Assistance Program (EAP) and Inkblot Therapy
- And more!
*All benefits are subject to eligibility requirements
Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI please read our TA AI Usage policy here.
Please note if you are hired at Slalom you will be required to complete a background check.
More about this job
Responsibilities
Own client solution architecture and lead teams in adopting AI-first software development practices, including designing workflows, patterns, and guardrails for generative AI. Build and prototype AI-enabled platforms, guide AI-agent and developer collaboration, and coach clients and teams on reliable, responsible AI-accelerated engineering.
Requirements
Requires 6+ years of production software development experience and demonstrated leadership in system or platform architecture, along with hands-on use of agentic development tools and experience delivering GenAI-integrated solutions. Candidates should have expertise in APIs, microservices, reliability, security, programming, cloud platforms, Kubernetes, CI/CD, infrastructure as code, observability, and team leadership.
Skills
- Software Architecture
- Generative AI
- Context Engineering
- Prompt Templating
- Embeddings
- Retrieval-Augmented Generation
- API Design
- Microservices
- Event-Driven Architecture
- TypeScript
- Node.js
- Python
- Java
- React
- Cloud And DevOps
- Team Leadership
Benefits
- Lunch And Learns
- Health And Wellness Activities
- Holiday Parties
- Employee Community Groups
- Social Clubs And Activities
- Vacation
- Wellness And Sick Days
- Competitive Compensation
- Cell Phone Reimbursement
- Registered Retirement Savings Plan (RRSP) And Employer Matching
- Tax-Free Savings Account (TFSA)
- Annual Well-Being Gift Card
- Family Planning And Fertility Benefit
- Maternity And Parental Leave Top-Up
- Medical And Dental Benefits
- Life And Accidental Death And Dismemberment Insurance
- Supplementary Life And Accidental Death And Dismemberment Insurance
- Employee Assistance Program
- Therapy
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Management & Leadership
- Consulting
Keywords
- Generative AI
- Agentic IDEs
- GitHub Copilot
- Cursor
- Claude Code
- Context Engineering
- Prompt Templating
- Embeddings
- Retrieval-Augmented Generation
- Data Grounding
- AI Agents
- Evaluation Harnesses
- Code-Review Agents
- Context Packs
- CI/CD
- DevOps
- Observability
- APIs
- Microservices
- Eventing
- Reliability
- Security
- TypeScript
- Node.js
- Python
- Java
- React
- Next.js
- AWS