Lead Agentic AI Solutions Architect

Apex Systems; Mississauga; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

On-demand training

Certification discounts

Awards & recognition program

Job summary

Apex Systems seeks a Lead Agentic AI Solutions Architect to drive end-to-end enterprise AI and automation initiatives. You will partner with business, product, engineering and architecture teams to identify scalable opportunities and design responsible AI solutions.

This role requires 10+ years in software or architecture and 5+ years with AI-enabled systems, with strong Python proficiency. Hybrid/Remote work is available based on business needs.

Qualifications

• 10+ years in software engineering, solution architecture, or platform engineering.
• 5+ years designing and implementing AI-enabled enterprise solutions.
• Strong communication and collaboration across multiple teams.

Responsibilities

• Lead the full lifecycle of Agentic AI and automation solutions from discovery to deployment.
• Identify, prioritize, and deliver high-impact AI use cases aligned with business objectives.
• Design scalable AI architectures leveraging AI agents, LLMs, APIs, and automation.
• Establish engineering standards, governance controls, and reusable capabilities.
• Provide technical leadership and mentorship to engineering teams.

Skills

Python

AI architecture

API design

Leadership

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Docker

Kubernetes

CI/CD

Job description

Position Title

Lead Agentic AI Solutions Architect

Location

Hybrid (2 days/week in office) or Remote, based on business needs and location requirements

Duration

6 month Contract to Hire/Permanent

Job Type

C2H

Work Model

Hybrid / Remote

About the Opportunity

We are seeking an experienced Lead Agentic AI Solutions Architect to lead the end-to-end delivery of enterprise AI and automation solutions that transform business operations and drive measurable business value. This role will partner with business, product, engineering, and architecture teams to identify strategic opportunities, design scalable AI systems, and ensure responsible AI practices are embedded throughout the solution lifecycle.

Key Responsibilities

• Lead the full lifecycle of Agentic AI and automation solutions, from discovery and architecture through deployment, support, and optimization.
• Identify, prioritize, and deliver high-impact AI use cases aligned with business objectives and measurable outcomes.
• Design scalable AI architectures leveraging AI agents, large language models (LLMs), enterprise platforms, APIs, and workflow automation technologies.
• Establish AI engineering standards, architecture patterns, governance controls, and reusable capabilities while ensuring responsible AI practices.
• Provide technical leadership and mentorship to engineering and architecture teams, promoting innovation, technical excellence, and continuous improvement.

Must-Have Qualifications

• 10+ years of experience in software engineering, solution architecture, application development, or platform engineering.
• 5+ years of experience designing and implementing AI-enabled enterprise solutions.
• Strong proficiency in Python and modern agentic AI software engineering practices.
• Experience designing enterprise integrations using APIs, microservices, event-driven architectures, and MCP frameworks.
• Proven experience leading technical delivery efforts across multiple teams and stakeholders, with strong communication and collaboration skills.

Nice-to-Have Qualifications

• Experience with Agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, Claude Agent SDK, or similar technologies.
• Expertise with Azure cloud services, Azure AI Foundry, and cloud-native architecture patterns.
• Experience with Docker, Kubernetes, CI/CD pipelines, Human-in-the-Loop workflows, and Responsible AI governance frameworks.

Required Experience

• 10+ years of relevant technology experience in software engineering, architecture, or platform development.
• Experience delivering AI, machine learning, intelligent automation, or enterprise workflow solutions in large-scale environments.
• Hands-on experience with LLMs, AI agents, retrieval systems, orchestration frameworks, Azure technologies, APIs, and microservices-based architectures.

Education & Certifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; equivalent practical experience will also be considered.
• Master's degree or Doctorate in a related discipline is preferred and may offset some experience requirements.
• Relevant certifications in cloud platforms, AI technologies, architecture frameworks, or software engineering are considered an asset.

Everforth Apex Benefits Overview

In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.