AI Solutions Architect

Escalon Corp.; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Escalon Corp. in Toronto seeks an AI Solutions Architect to lead technical design of AI-enabled workflows and LLM applications for enterprise clients. You will translate business goals into trusted architectures and stay close to the build to ensure delivery matches design.

You will work directly with client leaders, design secure, scalable cloud solutions, and guide engineers through implementation. Remote-friendly and focused on real-world enterprise environments.

Qualifications

• Substantial experience designing and delivering cloud-based systems at enterprise scale.
• Hands-on experience integrating large language models into real applications, including retrieval, tool use and agent patterns.
• Security, identity and access control, and data privacy, with enterprise review experience.
• Strong systems design: integration patterns, APIs, data flows, reliability, failure handling.
• Able to turn ambiguous business requirements into concrete technical plans for engineering teams.
• Clear written and verbal communication for non-technical stakeholders.
• Comfort working directly with clients and distributed teams.

Responsibilities

• Translate business goals and constraints into technical architectures for AI-enabled workflows and LLM apps.
• Lead technical discovery with clients: map systems, data and processes, and identify AI opportunities.
• Design cloud architectures that integrate LLMs with enterprise systems, data sources and APIs.
• Choose models, retrieval and orchestration patterns; document trade-offs in cost, latency, accuracy and risk.
• Incorporate security, access control and data privacy into every design; pass security reviews.
• Define evaluation and governance for AI systems; measure quality before and after release.
• Guide engineers through implementation; review work against architecture and unblock issues.
• Prepare architecture docs, diagrams and proposals; present recommendations to technical and executive audiences.
• Contribute to Escalon's reusable patterns and reference architectures as the team grows.

Skills

Cloud architecture

LLM integration

Security & IAM

APIs & data flows

Client-facing

Distributed teams

Technical communication

Job description

Escalon is a Toronto-based AI consultancy built by engineers. We help enterprises redesign their workflows around AI, then engineer, test and run those systems in production.

Our roots are in high-performance software, quality engineering and program delivery across gaming, SaaS and enterprise systems. That discipline is what makes AI hold up in the real world.

About the role

Our clients are large organizations deciding where AI creates measurable advantage and how to build it safely. They need the agents, applications and data foundations behind that work to run in production, not just in a demo.

As an AI Solutions Architect, you are the technical lead on that work. You take a business problem that is still loosely defined, shape it into an architecture a client can trust, and stay close to the build so what ships matches what was designed. Your designs have to hold up in real enterprise environments: existing systems, strict security reviews, messy data and teams that need to adopt the result.

You work directly with client leaders and engineers, and alongside our strategy, engineering and quality teams. You will be in the room for early discovery conversations, you will make the architecture decisions, and you will explain those decisions clearly to people who care about different things: cost, risk, speed and reliability.

This is a remote-friendly role for someone who is comfortable owning ambiguous problems end to end, and who cares as much about how a system behaves on its worst day as on its best.

What you'll do

• Translate business goals and constraints into clear technical architectures for AI-enabled workflows, agents and LLM applications.
• Lead technical discovery with clients: map their systems, data and processes, and identify where AI can safely take on work.
• Design cloud architectures that integrate large language models with enterprise systems, knowledge sources and APIs.
• Choose models, retrieval approaches and orchestration patterns, and document the trade-offs in cost, latency, accuracy and risk.
• Build security, access control and data privacy into every design, and take designs through client security and architecture reviews.
• Define how AI systems are evaluated, monitored and governed, so quality can be measured before and after release.
• Guide engineers through implementation, review their work against the architecture, and unblock hard technical problems.
• Prepare architecture documents, diagrams and proposals, and present recommendations to technical and executive audiences.
• Contribute to Escalon's reusable patterns, reference architectures and delivery practices as the team grows.

What you need

• Substantial experience designing and delivering cloud-based systems at enterprise scale.
• Hands-on experience integrating large language models into real applications, including retrieval, tool use and agent patterns.
• A solid grounding in security, identity and access control, and data privacy, and experience working through enterprise security reviews.
• Strong systems design skills: integration patterns, APIs, data flows, reliability and failure handling.
• Experience turning ambiguous business requirements into concrete technical plans that engineering teams can build.
• Clear written and verbal communication, with the ability to explain technical trade-offs to non-technical stakeholders.
• Comfort working directly with clients and with distributed teams.

Nice to have

• Experience in consulting, professional services or another client-facing delivery environment.
• Experience evaluating and testing non-deterministic systems, such as LLM evaluation suites or red-teaming.
• Familiarity with more than one major cloud platform and its AI services.
• Experience in a regulated industry, such as financial services, healthcare or the public sector.
• Experience with data pipelines, knowledge graphs or enterprise search.

Escalon is committed to an inclusive hiring process and to equal opportunity. We welcome applications from people of all backgrounds and consider every applicant on their skills and experience. If you need an accommodation at any stage of the process, let us know and we will work with you.

Have a complex challenge or an ambitious idea? Let's explore what's possible.