SVP, Strategic Partnerships (Princeton)

Position Overview Evotec seeks a senior leader to shape and execute its next generation of strategic partnerships. The SVP Strategic Partnerships will design and secure long-term, innovation-driven alliances with global pharmaceutical companies, emerging biotechs, and ecosystem partners. The mandate is portfolio-focused and forward-looking. This role anticipates where science, technology, and capital will converge over the next 5 to 10 years and translates that view into differentiated, high-impact collaborations. The objective is to unlock the full potential of Evotec’s precision medicine and multimodal discovery platforms through structured, scalable partnerships that generate durable value. The role requires deep scientific credibility, advanced deal architecture capability, and the ability to influence executive and board-level stakeholders across the life sciences industry. Key Responsibilities Develop and execute a forward-looking partnership thesis aligned with market evolution and platform priorities Design complex, multi-asset and platform-based alliances including risk-share and co-development models Structure IP, governance, economics, and milestone frameworks to optimize long-term portfolio value Exit or restructure partnerships when strategic value no longer aligns Conduct systematic market scanning to identify emerging science, technology inflection points, and capital flows Anticipate future innovation clusters and shape participation in these ecosystems Build regional and global partnership strategies aligned with Evotec’s long-term growth agenda Lead negotiations with C-suite and Board-level stakeholders Translate scientific and translational strategy into commercially viable deal structures Balance risk, capital exposure, and resource allocation across a diversified partnership portfolio Align scientific, legal, finance, and operational functions from concept to contract and into launch Establish governance models that enable effective decision‑making and execution Drive internal alignment across geographies and therapeutic areas Articulate strategic rationale and long‑term value creation to executive committees and external partners Position partnerships within the broader portfolio strategy Qualifications Several years in biopharma or biotech Advanced scientific or medical background Extensive experience in drug discovery, translational science, and early clinical strategy Demonstrated track record of structuring and closing complex, innovation-driven partnerships Experience negotiating at C-suite and Board level Established global network across senior scientific and industry leadership Portfolio-oriented thinking across multinational territories Strong understanding of portfolio balance including risk, capital, and resource exposure Ability to anticipate emerging scientific and market inflection points Experience designing governance models that accelerate decision-making Capability to manage long-cycle deals and multi-year partnership build‑outs Proven ability to operate effectively in high-ambiguity, multi-stakeholder environments Strong change advocacy based on external innovation exposure Why Evotec Evotec offers a differentiated precision medicine and multimodal discovery platform designed for long-term value creation. This role provides the opportunity to shape strategic alliances that define future therapeutic landscapes and accelerate the development of transformative medicines globally. Evotec (US) Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, age, disability, genetic information, gender expression, gender identity, national origin, religion, sexual orientation, or veteran status. J-18808-Ljbffr

VPP-97 – GenAI Solutions Architect US - Remote (Northern)

We are seeking a highly technical GenAI Solutions Architect to join a growing AI Center of Excellence (CoE) focused on delivering enterprise-scale Generative AI solutions. Department: Project Location(s): US - Remote Job Type: Employee Education: Bachelor's in related area Who You’ll Work With We are seeking a highly technical GenAI Solutions Architect to join a growing AI Center of Excellence (CoE) focused on delivering enterprise-scale Generative AI solutions. The role is fully remote, with quarterly travel to Chicago. What You’ll Do This individual will be responsible for designing, prototyping, and evangelizing innovative AI architectures that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and advanced machine learning technologies. The ideal candidate has a strong foundation in Machine Learning, Natural Language Processing (NLP), and/or Computer Vision, and has evolved into a solution architecture role where they work directly with business stakeholders to identify opportunities, build proof-of-concepts (POCs), secure funding, and transition successful solutions to engineering teams for production deployment. What You’ll Bring 10 years of experience in Software Engineering, Machine Learning, AI, or Solution Architecture roles. Strong technical background in Machine Learning, NLP, Computer Vision, or related AI disciplines. Hands-on experience architecting Generative AI solutions in enterprise environments. Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. Experience with Agentic AI frameworks and autonomous workflow orchestration. Deep understanding of Large Language Models (LLMs) and prompt engineering methodologies. Experience working within an AI Center of Excellence (CoE) or similar innovation-focused organization. Proven track record of building successful AI POCs and advancing them to funded initiatives and production implementations. Excellent communication, presentation, and stakeholder management skills. Experience with several of the following technologies: Large Language Models (OpenAI, Claude, Gemini, Llama, etc), RAG Architecture, Agentic AI Frameworks, Vector Databases (Pinecone, Weaviate, Chroma, FAISS), Google Vertex AI, AWS SageMaker, Hugging Face, LangChain, LangGraph, LlamaIndex, Python, Machine Learning & Deep Learning Frameworks, Cloud Platforms (AWS, GCP, Azure), API Design & Integration Nice-to-Haves Experience leading enterprise AI transformation initiatives. Experience evaluating and selecting GenAI technologies for large organizations. Background working across multiple AI domains including NLP, Computer Vision, and Predictive Analytics. Experience estimating ROI and business value for AI investments. Experience presenting AI strategy and architecture recommendations to executive leadership. What Makes Us Great Place To Work Vekend is a people-first organization focused on developing thoughtful products and services that create meaningful impact for our customers and communities. We are committed to fostering a collaborative, respectful, and inclusive work environment where employees are empowered to take ownership of their work, contribute ideas, and grow professionally. We strive to support flexibility and work-life balance while maintaining high standards of performance and accountability. Benefits and Wellbeing For all locations, the good-faith, reasonable annualized full-time compensation for this role will be determined based on competitive market data and may vary depending on geographic location, job-related knowledge, skills, experience, education, and other business considerations. Specific compensation details will be discussed during the interview process.,Vekend offers a comprehensive benefits and wellness package designed to support employees’ overall well-being, financial security, and professional growth. Eligibility and coverage are subject to the terms of the applicable benefit plans and company policies. Eligible employees have access to medical, dental, and vision insurance with company contributions toward premiums, a 401(k) retirement plan with company matching, and Paid Time Off that begins accruing on the first day of employment. We also support flexible work arrangements and opportunities for professional growth. Benefits eligibility, coverage, and company contributions are subject to the terms of the applicable plan documents and may be modified at the company’s discretion. J-18808-Ljbffr