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Forward-Deployed Integration Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: OhioX, Inc.
Full Time, Contract position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Cybersecurity, IT Consultant
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

At Digital

T3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, Digital

T3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through Digital

T3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.

You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.

This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.

Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time).

Location: Toronto (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership

  • Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases.
  • Lead technical discovery sessions and translate business requirements into scalable implementation strategies.
  • Provide architectural guidance aligned with enterprise security, compliance, and operational constraints.
  • Build trusted relationships with customer technical and executive stakeholders.
  • Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution.
  • Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements.

Integration & Implementation

  • Deploy and configure the platform in enterprise production environments.
  • Integrate with customer systems, APIs, identity providers, data sources, and internal workflows.
  • Implement custom scripts, connectors, or extensions in Python when required.
  • Guide Cloud-based deployments and advise on infrastructure best practices.
  • Ensure deployments are robust, secure, and scalable.

Operational & Strategic Ownership

  • Develop repeatable deployment frameworks, integration playbooks, and best practices.
  • Partner with Sales and Customer Success on technical scoping and feasibility analysis.
  • Translate field learnings into product and engineering improvements.
  • Support scalable growth of forward-deployed operations.
Qualifications:
  • 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles.
  • Proven experience working directly with enterprise customers in technical engagements.
  • Experience deploying/integrating systems on a major cloud provider (preferably Azure).
  • Strong Python experience in production environments.
  • Experience in high-growth or startup environments is a plus.
  • Bachelor’s or Master’s degree in Computer Science or related technical field.
Technical

Skills:

  • Strong proficiency in Python.
  • Familiarity with Azure services and enterprise cloud architectures.
  • Experience integrating with enterprise systems, APIs, and authentication frameworks.
  • Strong understanding of cloud deployment models, security constraints, and operational best practices.
  • Advanced debugging and troubleshooting capabilities.
Soft Skills:
  • Exceptional communication skills across technical and non-technical stakeholders.
  • Strong consultative mindset with the ability to influence architectural decisions.
  • High level of ownership and accountability.
  • Professional presence when engaging enterprise stakeholders.
  • Ability to operate effectively in ambiguous, fast-paced environments.
  • Structured problem-solving and analytical thinking.
  • Highly collaborative and adaptable.
  • Competitive Compensation aligned with your experience
  • Enterprise-Scale Impact:
    Work on AI-integrated systems
  • High Ownership:
    Architectural influence and hands-on execution
  • Remote-First Culture with flexible work arrangements
  • Career Growth Opportunities in a fast-evolving AI environment
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