AI Architect

We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.Be the curator and owner of the AI architecture strategy in Pipedrive. Act as the glue between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps), and business unit leaders to govern and scale the AI initiatives within Pipedrive that drive business value. Serve as a trusted advisor, both practical and innovative, to embed innovative data / ai / ml solutions into existing business areas and transform data into strategic assets.

Your new adventure :

• AI / ML Architecture
• Design scalable and secure AI / ML infrastructure for both cloud and on-premises environments.
• Architect modular Generative AI solutions, including LLM-based APIs, embedding pipelines, vector search, and RAG architectures.
• Select appropriate AI / ML techniques (, NLP, computer vision, reinforcement learning) based on business needs and use cases.
• Data & AI Integration
• Define AI architecture in alignment with the organization’s data and product strategy.
• Collaborate with data engineers to design robust, secure, and high-quality data pipelines for AI use cases.
• Ensure seamless data integration, access control, and data quality for training and inference both in batch and real-time.
• GenAI / LLM Strategy
• Define reference architectures and standards for GenAI and LLM adoption across the enterprise.
• Lead the design of RAG systems, leveraging vector databases and structured / unstructured knowledge sources.
• Evaluate LLM deployment options (, commercial APIs, on-prem models, open-source fine-tuned models) based on latency, cost, compliance, and privacy.
• Technology Strategy
• Develop an AI strategy and architectural roadmap aligned with business objectives.
• Stay ahead of emerging AI trends and evaluate new tools, frameworks, and platforms (, PyTorch, TensorFlow, Kubernetes, Docker).
• Provide technical leadership across platform, product, and support functions.
• Cross-functional Collaboration
• Collaborate closely with product managers, engineers, and data scientists to integrate AI into user-facing and internal products.
• Communicate AI capabilities and decisions clearly to technical and non-technical stakeholders.
• Governance, Security & Ethics
• Ensure AI systems comply with privacy, security, and ethical standards (, GDPR, AI ethics guidelines).
• Help define and implement responsible AI governance frameworks across the lifecycle of AI systems.

Does this sound like you?

Why Pipedrive :

Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment.Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.Please note that for this role we’re currently unable to offer relocation assistance or visa sponsorship.#LI-Hybrid #LI-VMUCWe are looking for an AI Architect specialist who is passionate about leveraging AI-ML to solve complex problems and drive business outcomes.If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.