Appnovation Technologies - Principal Engineer
Requirements
• 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. • Reusable AI Capabilities: • 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. • Senior Stakeholder Partnership: • 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. • Innovation with Delivery Focus: • Technical Mentorship: Mentor senior engineers across platform teams and raise the technical bar through design reviews and hands-on involvement in the toughest problems. • Technical Mentorship: • 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. • 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. • Technical Strategy and Judgment: • Influence and Partnership: Builds alignment and drives decisions across teams and organizations without relying on formal authority. • Influence and Partnership: • Technical Depth and Breadth: Brings hands-on credibility to guide engineers, challenge assumptions and make sound platform-scale choices. • Technical Depth and Breadth: • Responsible AI Mindset: Designs for auditability, evidence and safety from the start so new approaches can pass review in a regulated setting. • Responsible AI Mindset: • 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. • Outside-In Thinking: • 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.
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. • Technical Direction: • 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. • Cross-Team Standards: • 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. • Architecture Reviews and Decisions: • 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. • End-to-End Data Traceability: • 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.
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