AI Architect, Pipedrive
Offers performance-based bonuses
More information about location
Sales CRM & pipeline management software
Be an early applicant
Sales CRM & pipeline management software
501-1000 employees
Be an early applicant
Offers performance-based bonuses
More information about location
501-1000 employees
Company mission
To support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier.
Role
Who you are
- 5+ years in AI/ML development with experience in architecting AI solutions
- Proven track record of designing and deploying AI/ML models in production environments
- Strong expertise in machine learning algorithms, deep learning, and statistical models
- Proficiency with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Deep understanding with cloud AI/ML services (e.g., AWS SageMaker, Azure ML, GCP AI)
- Experience with data pipeline tools (e.g., Apache Kafka, Airflow) and containerization (Docker, Kubernetes)
- Knowledge of programming languages such as Python, R, and Java
- Knowledge of big data processing frameworks (e.g., Hadoop, Spark)
- Proficiency in GenAI offerings and approach for driving adoption internally and within the product
- Expertise in architecting and scaling GenAI solutions, including:
- LLM orchestration tools (e.g., LangChain, Haystack)
- Vector databases (e.g., Pinecone, Weaviate, FAISS)
- RAG pipelines
- Experience with design patterns for GenAI systems, such as agent frameworks, tool calling, memory, and contextual window management
- Proficient in designing systems that address LLM cost optimization, latency, rate-limiting, and failover in production environments
- Familiarity with LLM evaluation frameworks (e.g., TruthfulQA, HELM) and AI safety techniques (guardrails, moderation APIs, response validation)
- Implement architectural controls for prompt injection resistance, logging, and observability for audit and risk tracking
- Thought leadership
- Strong problem-solving skills and ability to lead complex AI projects
- Excellent communication and leadership skills
- Ability to work in a fast-paced, collaborative environment
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ph.D. is a plus
What the job involves
- We are looking for an AI Architect specialist who is passionate about leveraging AI-ML to solve complex problems and drive business outcomes
- 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
- 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 (e.g., NLP, computer vision, reinforcement learning) based on business needs and use cases
- 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
- 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 (e.g., commercial APIs, on-prem models, open-source fine-tuned models) based on latency, cost, compliance, and privacy
- Develop an AI strategy and architectural roadmap aligned with business objectives
- Stay ahead of emerging AI trends and evaluate new tools, frameworks, and platforms (e.g., PyTorch, TensorFlow, Kubernetes, Docker)
- Provide technical leadership across platform, product, and support functions
- 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
- Ensure AI systems comply with privacy, security, and ethical standards (e.g., GDPR, AI ethics guidelines)
- Help define and implement responsible AI governance frameworks across the lifecycle of AI systems
Application process
- 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
Our take
Since its foundation in Estonia in 2010, Pipedrive has grown into one of the world’s leading sales CRMs, rivalling the likes of Salesforce, HubSpot, and Agile. Indeed, it’s considered by many to be the best for sales management specifically.
Pipedrive’s growth from a five-person startup to 900-plus headcount across ten locations has been quite spectacular, but the last few years have seen the company go through a raft of significant changes. Chief among these is Vista Equity Partners majority investment in 2020, which brought unicorn status.
As well as this, former Google Director Dominic Allon also joined as CEO, while the company has also been expanding its executive team, with a particular focus on sales and marketing. The release of Pipedrive Pulse - which was designed to streamline prospecting workflows and focus on promising deals - strengthens Pipedrive's AI suite to an even greater degree. Already operating from a strong position, Pipedrive looks to be aiming for even greater growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2018
$10m
SERIES C
Jun 2018
$50m
SERIES C
Total funding: $91.3m
Company benefits
- Competitive salary including all the benefits you’d expect from a great employer (annual bonus system, health insurance, meal allowance, flexible benefits – you can choose whether to use the credit on parking, a public transport card, technology, etc).
- A value-driven work environment where people come first.
- A lively bunch of colleagues from over 50 different countries, with offices in Lisbon, Tallinn, Tartu, Prague, London, Dublin, New York, Florida, Riga and Berlin.
- A team serious about getting things done while not taking ourselves too seriously.
- A world-class working environment full of the usual nice perks and some more.
- Freedom to execute your ideas with a passionate and motivated team supporting you.
- Flexible working hours as long as you’re there for your team members.
- Lots of room for personal and career development, with internal and external training opportunities.
Company HQ
Midtown South, New York, NY
Leadership
Dominic Allon
(CEO)Joined Pipedrive as CEO in 2021 having spent five years at Fintech Inuit, first as VP & GM for Europe, then Global. Prior to this they had eight year spells at Google, as UK and Hong Kong Director, and The Economist as Group Head.
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