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Posted 4 days ago

AI/ML Architect/ Delivery Manager

@ iTech US Inc

Toronto, Ontario

Full-time
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SIGNALS

Overview

iTech US Inc is hiring an AI/ML Architect and Delivery Manager for a full-time role advising client VP-level and C-suite leaders on AI adoption and AI-enabled software delivery. The work covers AI SDLC design, solution architecture for agentic AI, production delivery, and AI governance.

Responsibilities:

  • Advise client leadership on AI adoption and AI SDLC practices
  • Guide solution architecture and scalable AI/ML and agentic AI implementations
  • Lead AI initiatives from discovery through production rollout
  • Establish AI governance, oversight, and auditability frameworks
  • Own delivery planning, risks, and escalations across AI initiatives

Requirements summary:

  • Computer science or software engineering foundation with architecture experience
  • Delivered at least one AI/ML solution into production
  • Understanding of GenAI, agentic AI, and enterprise AI challenges
  • Experience advising VP-level or C-suite leaders
  • Consulting or systems integrator background preferred
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-10
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Hours per week40 (estimated)
Work settingOffice, Client sites
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Fields of studyComputer Science, Software Engineering

Summary and details written by AI from the posting; the employer’s posting is the authority.

iTech US Inc

FieldValue
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Job description

The ideal candidate has progressed from software engineering, solution architecture, or technical leadership into delivery management or technology transformation. They must have personally contributed to building AI/ML solutions and successfully taken at least one AI-native solution into production, delivering measurable business value.

This is not a traditional project management or AI strategy role. You will work directly with VP-level and C-suite stakeholders, shape technical direction, guide engineering teams, and help the client scale AI from experimentation to production-grade, agent-driven software delivery.

Key Responsibilities

  • AI Transformation: Advise client leadership on AI adoption and define AI-enabled Software Development Lifecycle (AI SDLC) practices, including engineering workflows, tooling, governance, and operating models.
  • AI Architecture & Solution Delivery: Guide solution architecture, shared AI infrastructure, technology roadmaps, and the implementation of scalable AI/ML and agentic AI solutions.
  • Production AI Delivery: Lead initiatives from discovery and solution design through implementation, production rollout, and value realization.
  • AI Governance: Establish frameworks for AI agent orchestration, human-in-the-loop oversight, auditability, traceability, and responsible AI adoption in an enterprise environment.
  • Executive Client Advisory: Engage directly with VP-level and C-suite stakeholders, challenge assumptions constructively, translate complex technical concepts into business outcomes, and influence strategic decisions.
  • Delivery Leadership: Own delivery planning, roadmaps, dependencies, risks, escalations, governance, and execution across multiple AI initiatives.
  • Consulting & Account Growth: Support solution shaping, pre-sales discussions, delivery proposals, and identification of opportunities to expand the client engagement.
  • Continuous Innovation: Evaluate emerging AI engineering practices, improve delivery effectiveness, and champion new approaches to AI-enabled software development.

Required Qualifications

  • Strong technical foundation in Computer Science, Software Engineering, or a related engineering discipline, with experience in software development and solution/enterprise architecture.
  • Proven delivery leadership across complex technology programs, ideally in a consulting or systems integration environment.
  • Demonstrated experience building and delivering at least one AI-native or AI/ML solution into production, with measurable business or engineering benefits.
  • Strong understanding of AI/ML architecture, Generative AI, agentic AI, and enterprise AI implementation challenges.
  • Practical understanding of the AI SDLC, including AI-assisted engineering, evaluation, deployment, governance, and production adoption.
  • Ability to discuss technical designs, implementation decisions, engineering trade-offs, and production challenges credibly with senior engineers and architects.
  • Experience working directly with business stakeholders and advising VP-level or C-suite leaders.
  • Strong consulting mindset, executive communication, problem-solving, and organizational change leadership skills.
  • Experience with a major systems integrator, Big Four consultancy, Accenture, EPAM, or a comparable consulting organization.

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