Senior Applied AI Solutions Engineer – PHB Commercial Transformation

Interested in a career that matters? At Novonesis, we believe biology holds the key to solving some of the world's biggest challenges. To unlock that potential, we are scaling AI capabilities that help our sales, marketing, and technical service teams work smarter, serve customers better, and create measurable business impact. As a Senior Applied AI Solutions Engineer , you will join the Strategy Deployment team within the Planetary Health Biosolutions (PHB) business division. Working at the intersection of applied AI, commercial problem-solving, and business transformation, you will turn high-value opportunities into practical AI solutions that transform how commercial teams operate. This is a senior, forward-deployed engineering role for someone who combines deep technical expertise with the ability to navigate complexity and ambiguity. You will take ownership of strategic AI initiatives, shaping their vision, architecture, development, deployment, and adoption while delivering measurable business value. The Role & Your Impact In this role, you will design, build, deploy, and continuously improve AI-driven solutions that enhance commercial effectiveness across PHB. You will work directly with business stakeholders, technical teams, and enterprise partners to solve meaningful problems and accelerate the adoption of AI across commercial functions. Key Responsibilities AI Solution Development & Commercial Transformation Partner with PHB commercial teams to understand complex workflows, business challenges, and user needs. Translate opportunities into practical AI solutions that create measurable business value. Design and build AI agents, applications, and workflows leveraging prompting, grounding, retrieval, tool use, actions, and orchestration. Develop and validate thin-slice solutions to assess user value and technical feasibility. Iterate rapidly based on user feedback and business outcomes. Lead multiple AI initiatives simultaneously, owning technical direction and delivery outcomes. You will work alongside other Applied AI engineers who also run projects independently. Your distinction will be the ability to take on the assignments with the greatest ambiguity, integration complexity, enterprise risk or cross-functional scope, while helping establish reusable technical patterns and a consistently high engineering and evaluation bar across the team. Integration & Engineering Define solution architectures for complex enterprise use cases and evaluate trade-offs across custom applications, Microsoft platforms, Salesforce capabilities, enterprise services, and third-party providers. Integrate AI solutions securely with enterprise platforms including Microsoft 365, Salesforce, and approved AI services. Build integrations using APIs, connectors, and workflow technologies while implementing appropriate identity, authorization, and approval controls. Develop solutions utilizing both structured and unstructured data, enterprise knowledge repositories, and retrieval-augmented generation (RAG) patterns. Ensure solutions are secure, scalable, maintainable, reusable, and aligned with responsible AI principles. Evaluation, Deployment & Scaling Establish evaluation methodologies, quality standards, and release criteria for AI solutions. Design and execute functional, integration, regression, and AI-specific evaluations covering reliability, groundedness, retrieval quality, agent behavior, and user experience. Validate solutions with users and determine whether to scale, iterate, or discontinue initiatives based on evidence. Deploy, monitor, troubleshoot, and continuously improve production solutions. Document architectures, patterns, and learnings to support future reuse and scale across the organization. What You'll Need to Be Successful Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.