Practice Architect II – AI/ML

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $140k - $210k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 0%

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TEKsystems

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

💼 Consulting

🎯 Recruiter

🏢 Enterprise

Consulting • Recruitment • Enterprise

TEKsystems is a global IT and business services firm that provides technology consulting, talent solutions, managed services and workforce recruitment to enterprise clients. The company delivers cloud, digital and data services (including AI/ML and automation), application innovation, Agile/DevOps transformation, technology operations and digital experience work, and operates large-scale talent and managed service programs. TEKsystems works across industries (financial services, healthcare, public sector, telecommunications, retail/manufacturing, energy and more), maintains technology partnerships with major cloud and software providers, and reports more than $7B in annual revenue and 100+ locations worldwide.

📋 Description

• Own architecture direction for agentic AI and full-stack solutions across assigned engagements • Translate business and technical requirements into scalable, sustainable solution architectures • Set architecture standards and design patterns for delivery teams • Own code review and architecture review gates and make final technical trade-off decisions • Write production code for customer engagements approximately 40–60% of the time • Build reusable accelerators, frameworks, and reference architectures across engagements • Evaluate emerging technologies and architecture patterns and decide what enters the technology stack • Unblock engineering teams on implementation problems • Provide technical direction to engineering pods across concurrent engagements • Lead offshore technical leads and ensure design intent survives handoff to distributed teams • Mentor engineers on architecture, code quality, and modern engineering practices • Serve as the senior technical voice to customer architects, engineering leaders, and executives • Explain architecture decisions, risks, and trade-offs to technical and non-technical audiences • Surface technical risks and dependencies early with mitigation options • Drive alignment across customer product, engineering, and business stakeholders • Deliver production systems from enterprise data onboarding through operation

🎯 Requirements

• 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 • Experience onboarding enterprise data and building a governed knowledge or semantic layer, including entitlement and lineage • Ability to describe the security and identity model for agents acting on enterprise data • Currently coding and able to complete a hands-on technical assessment • Experience leading offshore or distributed engineering teams • Experience defining RACI across customer, onshore, and offshore teams on a live engagement • Production delivery on at least two of AWS, Azure, or GCP • Customer-facing experience at engineering-leadership and executive level • Agentic AI, AI-powered solution design, and modern 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 • RAG and retrieval architecture, vector and hybrid search, embedding pipelines, and retrieval quality tuning • Agent security, identity, least-privilege tool access, data-boundary enforcement, and audit • Agent execution harnesses, orchestration, failure handling, and human-in-the-loop workflows • Evaluation harnesses, regression suites, groundedness and retrieval quality metrics, cost and latency instrumentation • Python, TypeScript/Node, strong SQL, agent frameworks such as LangGraph or LlamaIndex, MCP, containers, CI/CD, and IaC