Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and
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As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
Advise on AI trust and governance.
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Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D use cases. - Externally: Drive client value realisation by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, up-skilling R&D managers and executives, and accelerating time to value.
R&D Solution Architecture - Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic - Define AI outcomes and R&D decision quality standards - Co-shape scalable product capabilities across research, portfolio, and clinical use cases - Partner with Product, ML, and Engineering on feasibility and R&D operational readiness - Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value - Influence the product roadmap through client impact and adoption insights R&D Authority in the Room - Act as the trusted R&D domain expert for clients and internal Product and AI teams - Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives - Represent R&D user needs in product and roadmap discussions - Communicate AI and data topics, assumptions, and trade-offs in clear business language Deployment, Adoption & Time-to-Value - Drive rollouts from entry-point use cases to enterprise-wide adoption - Own time to first active user and time to routine across R&D deployments - Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns - Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences About You
Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field - Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes - 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles - Exposure to R&D analytics, performance management, or digital transformation initiatives - Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams - Proven experience working with Fortune 500 or large enterprise clients - Extreme ownership mindset, with accountability for outcomes, adoption, and time to value - Strong communication skills with senior R&D and executive stakeholders - Ability to operate autonomously in complex, multi-stakeholder environments Strongly preferred - Background in tech consulting, solution architecture, or product-facing roles - Experience with AI-powered, analytics, or data-intensive R&D products - Exposure to enterprise SaaS environments - Experience mentoring, leading, or scaling small teams or domain practices - Experience working across global R&D organizations or multi-therapeutic portfolios teams Why Aily? - Work at the intersection of AI and enterprise decision-making, shaping how Fortune 500 companies operate - Take real ownership of outcomes, from product design to measurable business impact - Partner directly with senior leaders and executive teams across global organizations - Be part of a high-performing, international team with strong product and AI DNA - Hybrid setup with 2–3 days per week in our Barcelona, Madrid, Munich or NYC office - Competitive compensation with performance-based rewards - Open feedback culture, continuous learning, and freedom to experiment - Regular team off-sites, global events, and a culture that values ambition, autonomy, and impact Who are we? About Aily Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.
Our flagship AI mobile app delivers real-time, actionable business recommendations across core functions, breaking silos and embedding AI directly into daily business routines. We are the reference decision intelligence platform for AI-driven decision-making in large organizations.
Mission Mission As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action. You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.
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Zur Originalanzeige32 geprüfte Stellen bei 31 Arbeitgebern, 2 davon ortsunabhängig. KI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.