Practice Architect II-AI/ML - Remote

TEKsystems; Toronto; Remote; CAD 196,000 - 294,000; Full time

Job summary

TEKsystems Global Services (TGS) is seeking a Practice Architect II (AI/ML) to own technical direction and delivery for AI-powered applications and digital platforms. You will lead onshore and offshore engineering teams, set architecture standards, and review production code from design through production.

This is a delivery role, not pre-sales or individual-contributor focused. You will mentor engineers, explain trade-offs to stakeholders, and drive alignment across product and customer teams

Qualifications

• Bachelor's degree in computer science, engineering, information technology, or related field.
• 10+ years in software engineering and architecture, incl. 3+ years as lead/principal architect.
• 2+ years building production AI/agentic systems deployed and operating.
• Onboarded enterprise data and built a governed knowledge/semantic layer with entitlement and lineage.
• Security and identity model for agents acting on enterprise data.
• Hands-on coding; able to complete a technical assessment.
• Experience leading offshore or distributed engineering teams.
• Defined RACI across customer, onshore, and offshore teams on live engagement.
• Cloud-agnostic: production delivery on at least two of AWS, Azure, or GCP.
• Customer-facing experience at engineering leadership and executive level.

Responsibilities

• Own architecture direction for agentic AI and full-stack solutions across engagements.
• Translate requirements into scalable architectures; set design patterns and standards.
• Own code and architecture review gates; decide on technical trade-offs.
• Write production code for customer engagements ~40–60% of time.
• Build reusable accelerators, frameworks and reference architectures.
• Evaluate emerging technologies and decide what enters the stack.
• Unblock engineering teams on implementation problems.
• Provide technical direction to engineering pods across concurrent engagements.
• Lead offshore leads; ensure design intent survives handoff to distributed teams.
• Mentor engineers on architecture, code quality and modern practices.
• Explain architecture decisions to technical and non-technical audiences.
• Surface risks and dependencies early with mitigation options.
• Drive alignment across product, engineering and business stakeholders.

Skills

Lead architect

Hands-on coding

Distributed teams

RACI governance

Customer-facing leadership

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Python

TypeScript/Node

SQL

CI/CD

IaC

Job description

This role is open in these provinces: British Columbia, Alberta and Ontario.

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. 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. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us?

Heres what the opportunity supported through our TGS Talent Acquisition Team requires:

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.

This is a delivery role, not pre‑sales. It is also not an individual contributor role the architect is accountable for the output of the teams they lead.

Key Accountabilities & Priorities

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

Product Engineering & Innovation

• 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; ensure design intent survives handoff to distributed teams
• 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 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
• 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
• Agent execution harness: tool and component boundaries, orchestration, failure handling, human‑in‑the‑loop
• 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

Minimum Qualifications

• 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

Success Profile

• Thinks architecturally and builds leads design and writes production code across product and platform initiatives
• 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
• Brings judgment about what enters the stack and raises the engineering practice around them
• Balances business objectives with sound technical and architectural decisions

Job Type & Location

This is a Permanent position based out of Toronto, ON.

Pay and Benefits

The pay range for this position is $140000.00 - $210000.00/yr.

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.

Workplace Type

This is a fully remote position.

À propos de TEKsystems et TEKsystems Global Services

Nous sommes un fournisseur de services aux entreprises et de technologies. Nous accélérons la transformation de nos clients. Notre compétence en stratégie, conception, exécution et opérations libère la valeur de lentreprise par un éventail de solutions. Nous sommes une équipe de 80 000 personnes qui collaborent avec plus de 60 000 clients, notamment 80 % du Fortune 500 en Amérique du Nord, Europe et Asie, qui collaborent avec nous dans le cadre de nos capacités full-stack et notre rythme. Nous sommes des penseurs stratégiques, des collaborateurs pratiques qui aident les clients à exploiter le changement et maîtriser le dynamisme de la technologie. Nous bâtissons le futur en livrant les résultats et en créant un impact positif dans nos communautés mondiales. TEKsystems et TEKsystems Global Services sont des entreprises dAllegis Group. Découvrez dautres informations à TEKsystems.com.

Ordonnance sur légalité des chances de San Francisco

Conformément à lOrdonnance sur légalité des chances de San Francisco, pour tous les postes situés dans la ville et le comté de San Francisco, nous examinerons les candidatures des personnes qualifiées ayant un casier judiciaire ou des antécédents criminels.

Utilisation de lintelligence artificielle (IA)

Nous pouvons utiliser lintelligence artificielle (IA) pour soutenir certaines étapes de notre processus dembauche, notamment la recherche, la présélection et l’évaluation des candidatures. LIA aide à analyser les candidatures et les qualifications, mais les décisions finales sont prises par notre équipe de recrutement. En soumettant votre candidature, vous reconnaissez et acceptez que celle‑ci puisse être examinée à laide doutils dIA.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full‑stack capabilities and speed. Were strategic thinkers, hands‑on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.econnaissez et acceptez que celle‑ci puisse être examinée à laide doutils dIA.