Agentic AI - Senior Principal - Intelligence Engineering (Toronto)

At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then set out to realize what’s possible—driving innovation with quality, resilience, and purpose. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow.

Job Title:

Agentic AI - Sr. Principal - Intelligence Engineering (For Vacant Role)

Mission

As a Senior Principal in Intelligence Engineering, you will define, design, and lead the delivery of enterprise-scale AI/ML and agentic AI solutions, shaping how intelligent systems are built, deployed, and scaled across organizations. You will operate at the intersection of strategy and execution—guiding architectural direction while remaining hands-on in building critical components. You’ll partner with clients to move from early experimentation to production-grade intelligent systems, establishing patterns for scalability, reliability, and governance, while helping shape Slalom’s broader AI strategy and capabilities.

Who you’ll work with

You’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

• Define and lead end-to-end architecture for agentic AI systems, including multi-agent designs, planning loops, memory strategies, and tool orchestration
• Establish reference architectures and reusable patterns for AI/ML and GenAI systems across clients and internal teams
• Design scalable ML and agent pipelines, including CI/CD, observability, evaluation frameworks, and production deployment strategies
• Architect enterprise-grade AI platforms that integrate LLMs, RAG systems, structured data systems, and external tools
• Lead design and implementation of Model Context Protocol (MCP) integrations and cross-system interoperability
• Act as the primary technical authority and trusted advisor for clients, leading architecture discussions and shaping technical strategy
• Translate ambiguous business needs into clear, scalable, and production-ready technical solutions
• Lead technical discovery, solution design, and early-stage project definition, influencing scope and delivery approach
• Guide clients in evolving from POCs to enterprise-scale systems, ensuring performance, reliability, and governance
• Remain deeply hands-on (~60–75%), building critical components such as:
• RAG pipelines, agent orchestration systems, and APIs
• Evaluation frameworks and observability tooling
• ML/LLM pipelines and production services
• Work across AWS, Azure, and GCP, selecting the right combination of cloud-native AI and data services
• Build in Python and related technologies, contributing directly to complex system components
• Lead small, high-performing teams (3–7 engineers) as the technical lead from inception through delivery
• Mentor engineers and architects, elevating team capability in AI, architecture, and engineering practices
• Set engineering standards and best practices for AI system development, testing, and deployment
• Define and implement AI governance frameworks, including model risk management, safety, and compliance
• Establish guardrails, HITL workflows, and monitoring systems for autonomous decision-making
• Ensure systems meet standards for security, observability, scalability, and performance
• Contribute to Slalom’s Intelligence Engineering strategy, helping define offerings, accelerators, and best practices
• Provide thought leadership in AI/ML, GenAI, and agentic systems, both internally and with clients
• Lead technical workshops, architecture reviews, and strategic conversations with executive stakeholders
• Drive innovation and capability building across the broader practice

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 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.