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Appnovation is seeking a Principal Engineer to own the end-to-end technical coherence of an enterprise marketing technology ecosystem for life sciences clients. This senior technical leadership role defines a single technical direction across multiple platform teams and leads architecture reviews to ensure coordinated data contracts and roadmaps.
You will drive end-to-end data traceability and help shape AI-enabled patient and HCP experiences that are production-ready, compliant and measurable
You can explain complex technical solutions to technical and non-technical audiences and connect them to measurable business valueYou have a customer-first mindset and a devotion to customer serviceExperience building something new in a regulated environment and getting it approved and live, not just pilotedTechnical 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 solvedOutside-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 HCPsExperience designing patient-facing or clinician-facing technology, or a clear view of how to handle the extra duty of care it bringsPrior experience and connections in the Life Sciences industry is preferredYou have prior experience in consultingReal 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 restResponsible AI Mindset: Designs for auditability, evidence and safety from the start so new approaches can pass review in a regulated settingDemonstrated ability to lead without positional authority, setting direction for teams you don’t manage and making it stick12+ years of software and platform engineering experience, with a track record of designing systems that span organizational boundaries, not just technical onesProven success getting multiple engineering roadmaps to line up around shared data contracts and standardsHands‑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 HCPYou are responsive and thrive in a fast‑paced, diverse, high‑performance environment with rapidly changing business needsTechnical Depth and Breadth: Brings hands‑on credibility to guide engineers, challenge assumptions and make sound platform‑scale choicesExperience integrating with partner and third‑party platforms where the surface, data boundary and release cycle are outside your controlYou engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing prioritiesYou are the person people bring the hard questions to, and you are comfortable in that roleInfluence and Partnership: Builds alignment and drives decisions across teams and organizations without relying on formal authorityYou have solid analytical, problem‑solving and decision‑making skillsYou actively seek out things outside your comfort zone and rapidly learn new concepts, business models and technologiesYou are able to travel to client and Appnovation locations as neededExcellent communication skills, including explaining complex technical topics in plain language to senior leaders and building agreement across organizational linesYou set high standards for quality, performance, scalability and security and seek continuous improvementBachelor’s degree in Computer Science, Engineering or a related field, or equivalent practical experienceCommercial 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 constraintContent supply chain experience: digital asset management, metadata and taxonomy, workflow management, promotional review and approval, claims libraries and content reuseExperience with cloud and edge infrastructure such as AWS and Cloudflare, enterprise GenAI services, identity and API gateways, and custom middleware and integration patternsExperience 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 productExperience in pharma, life sciences or another regulated industry with defined promotional review, privacy and security requirements