Full-Time

AI Solution Architect

English & French fluent

Posted on 9/1/2025

Dataiku

Dataiku

1,001-5,000 employees

Enterprise AI platform for data science

No salary listed

Paris, France

Hybrid

Category
Sales & Solution Engineering (1)
Required Skills
Kubernetes
Python
Data Science
R
Apache Spark
SQL
Machine Learning
Requirements
  • French and English - fluent
  • Curiosity and a desire to learn new technical skills.
  • Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public.
  • Ability to clearly explain complex topics to technical as well as non-technical audiences.
  • Over 5 years of experience with coding (Python, R, SQL).
  • Over 5 years of experience building ML models.
  • Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.
Responsibilities
  • Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support.
  • Analyse and investigate various kinds of data and machine learning applications across industries and use cases.
  • Provide strategic input to the customer and account teams that help make our customers successful.
  • Scope and co-develop production-level data science projects with our customers.
  • Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Desired Qualifications
  • Experience with Consulting and/or Customer-facing Data Science roles.
  • Experience in the bank & insurance, or manufacturing industries.
  • Experience with Spark, SAS, Data Engineering or MLOps.
  • Experience developing web apps in JavaScript, RShiny, or Dash.
  • Experience building APIs.
  • Experience using enterprise data science tools.
  • Passion for teaching or public speaking.

Dataiku provides an end-to-end platform for building and deploying AI and analytics applications across an organization. It supports no-code, low-code, and full-code workflows to let business analysts, data scientists, and IT collaborate on data preparation, model development, deployment, and governance. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data infrastructures, and legacy systems, and includes features like the Dataiku LLM Mesh, a secure gateway to large language models. Dataiku differentiates itself by offering a technologically agnostic environment that emphasizes everyday AI use, cross-team collaboration, and an enterprise-grade lifecycle from data prep to deployment and monitoring. Its goal is to help organizations turn data into sustained, scalable value—enabling widespread AI adoption, improving processes such as fraud detection, churn prevention, and supply chain optimization across hundreds of companies worldwide.

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$846.4M

Headquarters

New York City, New York

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Platform for AI Success launches Agent Management, measuring agent business KPIs in 2026.
  • Matrix partnership deploys financial AI fraud solutions in weeks across Americas since March 2026.
  • Omnix collaboration accelerates governed AI adoption in GCC government sectors from March 2026.

What critics are saying

  • Databricks Mosaic AI erodes agnostic appeal, capturing 60-80% data teams in 6-12 months.
  • AWS SageMaker commoditizes orchestration, bypassing subscriptions as Fortune 500 consolidate in 12-24 months.
  • EU AI Act Level 3 enforcement in July 2026 mandates hyperscaler-native compliance, eliminating need.

What makes Dataiku unique

  • Dataiku Govern automates EU AI Act compliance with risk classification and Annex IV documentation.
  • Kiji Privacy Proxy masks PII locally before external LLM calls using DistilBERT.
  • Kiji Inspector provides sparse autoencoder explainability for NVIDIA Nemotron agents.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
LionhearTV
Apr 9th, 2026
Dataiku appoints Andrew Boyd as Senior Vice President and General Manager for Asia Pacific and Japan.

Dataiku appoints Andrew Boyd as Senior Vice President and General Manager for Asia Pacific and Japan. Today, Dataiku, the Platform for AI Success, announced the appointment of Andrew Boyd as Senior Vice President and General Manager for the Asia Pacific and Japan (APJ) region to lead its next phase of growth and help enterprises in the region turn AI investments into measurable business outcomes. In this role, Boyd will lead Dataiku's go-to-market strategy and regional operations, driving growth across key markets including ASEAN, South Korea, Japan, Australia and New Zealand. He will focus on expanding enterprise adoption, strengthening strategic partnerships, and helping organisations operationalise AI in a governed, scalable way that delivers measurable business outcomes. "The APJ region is moving from AI ambition to AI accountability and the challenge now is scaling AI in a way that is governed and tied to real business outcomes," said Phil Coady, Chief Revenue Officer at Dataiku "Andrew has a strong track record of building high-performing businesses in complex markets, and his leadership will be key as we help customers make AI a core part of how they operate." Boyd brings more than 20 years of experience leading enterprise technology businesses across APJ. Throughout his career, he has driven go-to-market transformations, expanded regional operations, and built deep relationships with enterprise customers, partners, and government organisations. His experience navigating diverse and highly regulated markets positions him to support organisations as they scale AI responsibly and effectively. "Having spent my career helping organisations scale technology across APJ, I've seen that success in this region requires more than innovation - it demands strong governance, local expertise, and a clear link to business outcomes," said Boyd. "As AI adoption accelerates, organisations are under pressure to move beyond experimentation and deliver real value. Dataiku is uniquely positioned to support that shift, giving enterprises the control, flexibility, and trust they need to operationalise AI at scale." % buffered Powered by GliaStudios Dataiku continues to see strong global momentum as organisations accelerate their adoption of enterprise AI. The company works with more than 750 organisations worldwide, including many of the world's largest enterprises, helping them move from isolated AI initiatives to enterprise-wide impact.

CoinPasar
Mar 30th, 2026
Dataiku adds explainability to NVIDIA Nemotron.

Dataiku adds explainability to NVIDIA Nemotron. Dataiku launches Kiji Inspector with support for NVIDIA Nemotron open models to improve explainability, transparency, and governance for AI agents. Dataiku has announced support for NVIDIA Nemotron open models through the launch of Kiji Inspector, an open-source explainability framework developed for enterprise AI agents. Introduced through Dataiku's 575 Lab open source office, Kiji Inspector is described as one of the first open-source explainability frameworks purpose-built for enterprise AI agents. NVIDIA Nemotron is the first model family supported by the framework. The launch comes as organisations increasingly operationalise AI agents across critical workflows, particularly in regulated and high-stakes environments where performance alone is not sufficient. Enterprises also need to understand, validate, and govern how AI systems reach their outputs. Kiji Inspector is designed to address limited visibility into how AI agents make decisions. At the core of the framework is a sparse autoencoder, which examines the model at the moment it commits to a tool and identifies the signals behind that choice, translating them into explanations that teams can trace, validate, and trust. Hannes Hapke, Director of 575 Lab at Dataiku. said: "Without explainability, scaling AI means scaling uncertainty. Bringing Kiji Inspector to NVIDIA Nemotron open models changes that equation. It enables organisations to inspect and refine AI explainability before risk becomes reality. This is essential as agentic systems move from experimentation to trusted infrastructure." The release also builds on the broader alignment between Dataiku and NVIDIA around production-grade generative and agentic AI. NVIDIA Nemotron open models provide the performance and advanced capabilities needed for enterprise AI agent systems, while Dataiku provides orchestration across data platforms, enterprise applications, and AI services within a governed framework. Amanda Saunders, Director of Generative AI, NVIDIA, commented: "Open models like NVIDIA Nemotron give organisations visibility into how their systems operate, enabling deeper understanding, auditability, and control. By combining Nemotron's state-of-the-art open-source models with the Kiji Inspector, users can understand what moved the agent's LLM to make the decision." Stay updated on crypto and AI by following its socials. Your email address will not be published. Required fields are marked *

The Tifton Gazette
Mar 30th, 2026
Matrix expands Dataiku global AI collaboration to the Americas for accelerated data modernization.

Matrix expands Dataiku global AI collaboration to the Americas for accelerated data modernization. PR Newswire Today at 6:42am PDT Joint advisory and AI platform approach enables financial institutions to deploy AI and Gen AI-driven solutions in weeks while reducing operational complexity NEW YORK, March 30, 2026 /PRNewswire/ - Financial institutions face escalating rising regulatory scrutiny and pressure from board members to modernize fragmented legacy analytics. Matrix, a top 10 global technology integrator and digital transformation leader, today announced the expansion of its Dataiku, The Platform for AI Success, offering. Building on years of successful implementations in EMEA, this new initiative expands to North America and Latin America. Through this offering, organizations can move from siloed tools to a unified platform for analytics, machine learning, generative AI, and governance. Combined with Matrix's advisory and implementation expertise, institutions can deploy AI-driven fraud, compliance, and enterprise risk solutions in weeks rather than months, while enabling both technical and business teams to collaborate on AI initiatives within a single platform. Taye Mohler, Americas VP of Partnerships and Alliances at Dataiku said, "Together with Matrix, we are helping our existing and new financial clients accelerate the deployment of AI-powered risk and compliance solutions while empowering teams across the organization to participate in building and scaling AI." Enterprise companies can benefit from an integrated advisory-technology-delivery model, combining Matrix's transformation expertise with Dataiku's AI platform. This approach helps organizations modernize risk operations while maintaining operational continuity and regulatory alignment. "For many financial institutions, modernizing risk and compliance systems has historically required lengthy, complex transformation programs," said Gil Rozen, VP Data Services at Matrix. "By combining Dataiku's AI platform with Matrix's advisory and delivery capabilities, we are seeking to strengthen fraud prevention, improve compliance, and scale enterprise AI adoption." About Matrix Matrix is a top 10 global systems integrator partnering with enterprises to modernize data, AI, and digital platforms. With more than 17,000 employees, Matrix serves over 6,000 customers in 50+ countries delivering 600+ data projects. The company provides advisory, data and AI, cloud, and digital transformation services to organizations across industries including financial services, healthcare, telecommunications, manufacturing, and the public sector, helping clients modernize technology environments and drive measurable business outcomes. www.matrix-ifs.com SOURCE Matrix USA This is a paid placement. For further inquiries, please contact PR Newswire directly.

The Catalyst
Mar 17th, 2026
Dataiku delivers one of the first open-source frameworks.

Dataiku delivers one of the first open-source frameworks. Dataiku's new open source tool Kiji Inspector extends enterprise-grade transparency and governance to NVIDIA-powered agentic AI As organizations race to operationalize AI agents across critical workflows, performance alone is no longer enough - enterprises must also understand, validate, and govern how those systems arrive at their outputs, particularly in regulated and high-stakes environments. Through its 575 Lab open source office, Dataiku, The Platform for AI Success, has introduced Kiji Inspector(TM), one of the first open-source explainability frameworks purpose-built for enterprise AI agents. The first model family supported by Kiji Inspector is NVIDIA Nemotron open models. As enterprises move toward sovereign AI and build more of their own AI infrastructure, combining NVIDIA's Nemotron models with Dataiku's Kiji Inspector helps ensure organizations maintain clear visibility into how AI-driven decisions are made. Kiji Inspector provides built-in explainability for agent decisions, directly addressing one of the most pressing challenges in enterprise AI: the black-box optioproblem. At the core of Kiji Inspector(TM) is a Sparse Autoencoder that looks inside the model at the moment it commits to a tool, identifying the signals behind that choice and translating them into clear explanations teams can understand, trace, validate, and trust - without slowing the system down. "Enterprises are embedding AI agents into decisions that influence revenue, safety, compliance, and customer trust, yet most still lack structural visibility into how those systems reason," said Hannes Hapke, Director of 575 Lab at Dataiku. "Without explainability, scaling AI means scaling uncertainty. Bringing Kiji Inspector to NVIDIA Nemotron open models changes that equation. It enables organizations to inspect and refine AI explainability before risk becomes reality. This is essential as agentic systems move from experimentation to trusted infrastructure." This release builds on the broader alignment between Dataiku and NVIDIA to deliver production-grade generative and agentic AI. NVIDIA Nemotron open models provide production-grade performance and advanced capabilities required for enterprise AI agentic systems. Dataiku provides scalable orchestration, connecting data platforms, enterprise applications, and AI services within a single, governed framework. "Scaling autonomous AI agents across the enterprise demands trust rooted in transparency and accountability," said Amanda Saunders, Director of Generative AI, NVIDIA. "Open models like NVIDIA Nemotron give organizations visibility into how their systems operate, enabling deeper understanding, auditability, and control. By combining Nemotron's state-of-the-art open-source models with the Kiji Inspector, users can understand what moved the agent's LLM to make the decision." With over 750 enterprise customers, Dataiku's work on explainable AI has long resonated with industry leaders operating in complex, regulated environments. SLB, a global technology company that has driven energy innovation for 100 years, recognizes the importance of transparency as it expands AI adoption across operational and decision-making processes. "In energy operations, AI delivers real value when engineers can understand and rely on its decisions," said Sampath Reddy, Global Innovation Manager - Data & AI, SLB. "Having validated workflows and clear governance makes it possible to bring agentic AI directly into day-to-day systems, giving teams the confidence to deploy and scale these technologies in real operational environments." By extending Kiji Inspector to NVIDIA Nemotron, Dataiku enables enterprises to harness NVIDIA's cutting-edge open-source AI performance without compromising on model performance known from closed-source model APIs. As AI agents become more autonomous and embedded in enterprise systems, explainable reasoning will be foundational to long-term AI success, regulatory readiness, and competitive separation. Kiji Inspector for NVIDIA Nemotron is available today. Published March 17, 2026

CXO DX
Mar 16th, 2026
Omnix and Dataiku partner to accelerate AI adoption across Enterprise and Government in GCC

Omnix and Dataiku partner to accelerate AI adoption across enterprise and government in GCC. March 16, 2026 Omnix International, a leader in digital transformation and innovative technology solutions in the Middle East, today announced a partnership with Dataiku. This partnership will help organizations adopt artificial intelligence at scale, with a strong focus on security, governance, and real-world business outcomes. With this partnership, Omnix will be able to combine its regional expertise, strong government and enterprise relationships, and proven delivery capabilities with Dataiku's governed AI platform. Together, the companies will support organisations in accelerating their AI adoption journey and create measurable business value from data. Walid Gomaa, CEO of Omnix International, said, "This partnership with Dataiku aligns with our strategic vision to be a trusted digital transformation partner to deliver leading technologies and enable smarter data-driven organisations across the GCC region. With Dataiku's AI platform, we can help our customers move beyond experimentation and adopt AI in a scalable, secure way that aligns with regional regulatory and operational requirements." The partnership supports Omnix's strategy to deliver advanced, data-driven solutions that enhance decision-making and operational efficiency, while enabling Dataiku to expand its presence in the region through a partner with deep local insight and execution capabilities. "Across the GCC, organizations are under real pressure to move from AI experimentation to trusted, measurable impact," said Sofian Benali, Area Vice President - EMEA Partnerships at Dataiku. "Together, Dataiku and Omnix will help customers operationalize responsible AI with the governance, confidence, and accountability required to scale." Omnix and Dataiku will jointly focus on government departments, the public sector, financial services, energy, utilities, telecommunications, and large enterprises involved in AI-led transformation. They will work together to address common challenges such as fragmented data landscapes, governance complexity, and the need for trusted AI in business-critical environments. By delivering an integrated AI journey from data preparation and model development to deployment and governance, Omnix and Dataiku aim to help organizations across the UAE and GCC turn data into actionable intelligence and susta

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