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Appnovation

Principal Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Experience: 12+ years of software and platform engineering experience, with a track record of designing systems that span organizational boundaries, not just technical ones.
Posting language: English
Posted: Sep 25, 2026

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Original job description

About Us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

About The Role

We are seeking a Principal Engineer to own the end-to-end technical coherence of an enterprise marketing technology ecosystem for our life sciences clients. In most large organizations, content is created and approved in one system, delivered as an experience in another, and measured in a third, each run by a different team and vendor. When the seams between them are well designed, a business result can be traced back to the asset and workflow that drove it. When they are not, creators can't see how their work performs, publishers can't prove impact, and analysts spend more time reconciling data than finding insight.

This is a senior technical leadership role with no direct reports. You will set a single, clear technical direction across multiple platform teams, making sure their architectures, data contracts and roadmaps fit together as one system. You will lead through clarity and credibility rather than reporting lines, and you will help shape new AI-enabled patient and healthcare professional (HCP) experiences that can be built safely, approved and proven in production, not just shown in a prototype.

Role Responsibilities

Technical Direction: Define and own one clear technical approach across content creation, governance and approval; publishing, experience delivery and design systems; and measurement, tagging and reporting, with special focus on the content-to-experience and experience-to-insight handoffs.
Cross-Team Standards: Set shared standards for API contracts, metadata and taxonomy, data governance and security, so a decision made by one team doesn't create rework or data gaps for another.
Architecture Reviews and Decisions: Lead architecture reviews and RFCs across platform teams, act as the escalation point for the hardest cross-team problems (migrations, vendor consolidation, build vs. buy), and keep a written record of what was decided and why.
End-to-End Data Traceability: Own the technical strategy for tracing content, experience and performance data from asset, through publication, to the results it produced.
AI-Enabled Patient and HCP Experiences: Partner with client experience leaders to turn business ambitions into buildable technical approaches, including making services callable by AI assistants and agents and engaging on third-party platforms the client doesn't control.
Reusable AI Capabilities: Lead a shared layer of AI skills, agents and services that delivery teams and the wider organization can reuse, instead of every team building its own.
Senior Stakeholder Partnership: Represent engineering to senior client leaders on major trade-offs around cost, risk, scale and sequencing, and explain technical positions in terms that work for marketing, compliance and finance audiences.
Innovation with Delivery Focus: Prove ideas quickly and cheaply, stop them when they don't work, bring medical, legal, regulatory, privacy and security partners in at the design stage, and get committed approaches into production within a few months.
Technical Mentorship: Mentor senior engineers across platform teams and raise the technical bar through design reviews and hands-on involvement in the toughest problems.

Qualifications

12+ years of software and platform engineering experience, with a track record of designing systems that span organizational boundaries, not just technical ones.
Proven success getting multiple engineering roadmaps to line up around shared data contracts and standards.
Experience building something new in a regulated environment and getting it approved and live, not just piloted.
Hands-on depth in applied AI: how assistants and agents consume services, tool and context interfaces such as the Model Context Protocol (MCP), retrieval over approved content, and the evaluation, guardrails and traceability needed before a generative system talks to a patient or HCP.
Experience designing patient-facing or clinician-facing technology, or a clear view of how to handle the extra duty of care it brings.
Experience integrating with partner and third-party platforms where the surface, data boundary and release cycle are outside your control.
Demonstrated ability to lead without positional authority, setting direction for teams you don't manage and making it stick.
Excellent communication skills, including explaining complex technical topics in plain language to senior leaders and building agreement across organizational lines.
Real depth in three or four areas of the marketing technology stack (web and experience delivery, email, paid media, analytics and measurement, AI, content supply chain, consent and identity, audience data, enterprise cloud) and working knowledge of the rest.

Preferred Qualifications

Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent practical experience.
Experience in pharma, life sciences or another regulated industry with defined promotional review, privacy and security requirements.
Experience with enterprise platforms such as Adobe Experience Manager, Adobe Analytics, Workfront, Veeva Vault and Salesforce Marketing Cloud. Understanding the category and its trade-offs matters more than any one product.
Experience with cloud and edge infrastructure such as AWS and Cloudflare, enterprise GenAI services, identity and API gateways, and custom middleware and integration patterns.
Content supply chain experience: digital asset management, metadata and taxonomy, workflow management, promotional review and approval, claims libraries and content reuse.
Commercial fluency with enterprise vendor agreements, licensing and consumption models, and the judgment to spot when a platform’s cost curve, not its capability, is the real constraint.

Leadership Capabilities

Technical Strategy and Judgment: Connects business needs, platform strategy and emerging technology into a practical direction, and is honest about which problems need a new approach and which are already solved.
Influence and Partnership: Builds alignment and drives decisions across teams and organizations without relying on formal authority.
Technical Depth and Breadth: Brings hands-on credibility to guide engineers, challenge assumptions and make sound platform-scale choices.
Responsible AI Mindset: Designs for auditability, evidence and safety from the start so new approaches can pass review in a regulated setting.
Outside-In Thinking: Tracks what is emerging in AI, healthcare technology and the wider industry, and translates it into what it means for clients, patients and HCPs.

Who You Are

You have a customer-first mindset and a devotion to customer service
You are the person people bring the hard questions to, and you are comfortable in that role
You can explain complex technical solutions to technical and non-technical audiences and connect them to measurable business value
You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
You have solid analytical, problem-solving and decision-making skills
You set high standards for quality, performance, scalability and security and seek continuous improvement
You are responsive and thrive in a fast-paced, diverse, high-performance environment with rapidly changing business needs
You actively seek out things outside your comfort zone and rapidly learn new concepts, business models and technologies
You are able to travel to client and Appnovation locations as needed
You have prior experience in consulting
Prior experience and connections in the Life Sciences industry is preferred

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

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More about this job

Responsibilities

Set and maintain technical direction across marketing technology platforms, aligning architecture, data contracts, standards, and roadmaps while ensuring end-to-end traceability from content assets to performance results. Lead cross-team architecture decisions, reusable AI capabilities, regulated AI-enabled patient and HCP experiences, senior stakeholder partnerships, and technical mentorship.

Requirements

Requires 12+ years of software and platform engineering experience, a record of aligning teams across organizational boundaries, and hands-on applied AI expertise, including agent interfaces, retrieval, evaluation, guardrails, and traceability. Candidates should have strong technical leadership and communication skills, experience with regulated or patient-facing systems and third-party integrations, and depth in several marketing technology areas.

Skills

Technical Strategy
Enterprise Architecture
Cross-Team Leadership
API Contracts
Data Governance
Data Traceability
Applied AI
AI Agents
Responsible AI
Marketing Technology
Content Supply Chain
Platform Integration
Cloud Infrastructure
Stakeholder Communication
Architecture Reviews
Regulated Industry Compliance

Visa sponsorship

Not detected in the job text

Keywords

Marketing Technology
Enterprise Architecture
Software Engineering
Platform Engineering
Applied AI
Generative AI
AI Assistants
AI Agents
Model Context Protocol (MCP)
Retrieval-Augmented Generation
API Contracts
Data Governance
Metadata
Taxonomy
Data Traceability
Content Supply Chain
Digital Asset Management
Promotional Review
Adobe Experience Manager
Adobe Analytics
Workfront
Veeva Vault
Salesforce Marketing Cloud
AWS
Cloudflare
Identity and API Gateways
Middleware
Life Sciences
Healthcare Professional (HCP) Experiences
Privacy and Security

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