This role is open in these provinces: We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. The Practice Architect II (AI/ML) is a senior hands‑on architect who owns technical direction and delivery execution for customer engagements building AI‑powered applications and digital platforms. The architect sets architecture direction and engineering standards, writes and reviews production code, and leads onshore and offshore engineering teams from design through production. Full Stack Agentic AI Architecture Own architecture direction for agentic AI and full‑stack solutions across assigned engagements Translate business and technical requirements into scalable, sustainable solution architectures Set the architecture standards and design patterns delivery teams build against Own code review and architecture review gates; make the final call on technical trade‑offs Write production code for customer engagements approximately (4060)% of time Build and own reusable accelerators, frameworks, and reference architectures that carry across engagements Evaluate emerging technologies and architecture patterns, and decide what enters the stack Unblock engineering teams on implementation problems Delivery and Customer Relationship Provide technical direction to engineering pods of engineers across concurrent engagements Lead offshore technical leads; Mentor engineers on architecture, code quality, and modern engineering practice Serve as the senior technical voice to customer architects,



engineering leaders, and executives Explain architecture decisions, risks, and trade‑offs to both technical and non‑technical audiences Surface technical risks and dependencies early, with mitigation options Drive alignment across customer product, engineering, and business stakeholders Core Technical Skills Agentic AI, AI‑powered solution design, and contemporary application architecture Solution architecture and system design Hands‑on software development and prototyping AI‑assisted coding at scale for production deployment Code reviews, engineering standards, and quality governance Enterprise data onboarding: source access, ownership, entitlement, classification, and quality gating Knowledge fabric: governed, queryable knowledge layer over enterprise data semantic modeling, entity resolution, lineage, freshness RAG and retrieval architecture: vector and hybrid search, embedding pipelines, retrieval quality tuning, context and memory management Agent security: agent identity, least‑privilege tool access, data‑boundary enforcement, audit Evaluation: offline and online harnesses, regression suites, groundedness and retrieval quality metrics, cost and latency instrumentation Cloud‑agnostic delivery: portable across AWS, Azure, and GCP rather than tied to one provider's managed AI services Stack: Python and TypeScript/Node, strong SQL, agent frameworks (LangGraph, LlamaIndex, or equivalent),



MCP, containers, CI/CD, IaC Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline ~(10)+ years in software engineering and architecture, including (3)+ years as a lead or principal architect ~(2)+ years building production AI/agentic systems deployed and operating, not pilots or proofs of concept ~ Has onboarded enterprise data and built a governed knowledge or semantic layer, including entitlement and lineage ~ Can describe the security and identity model for agents acting on enterprise data ~ Currently coding; able to complete a hands‑on technical assessment ~ Experience leading offshore or distributed engineering teams ~ Has defined RACI across customer, onshore, and offshore teams on a live engagement ~ Cloud‑agnostic: production delivery on at least (two) of AWS, Azure, or GCP ~ Customer‑facing experience at engineering‑leadership and executive level Delivers working systems in production, from enterprise data onboarding through operation Communicates effectively with customers, stakeholders, and engineering teams Builds strong collaboration across global and offshore teams, and leaves behind implementations they can extend Balances business objectives with sound technical and architectural decisions This is a Permanent position based out of Toronto, ON. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors. This is a fully remote position. Nous accélérons la transformation de nos clients. Were a leading provider of business and

📌 Practice Architect II-AI/ML (Toronto)
🏢 TEKsystems
📍 Toronto