The AI Data Engineer will design, build, and maintain data foundations for foundational applications, advanced analytics, ML, Generative AI, and LLM applications. The role sits at the intersection of data engineering, AI platform development, and data governance.
Responsibilities
Design, develop, and maintain scalable data ingestion, transformation, and enrichment pipelines supporting AI and analytics initiatives.
Assess, modernize, and migrate legacy data platforms, tools, and operational processes to scalable, governed, and AI-ready data infrastructures.
Lead initiatives to replace manual, siloed, or obsolete data workflows with automated, cloud-enabled, and data-driven solutions.
Design and execute migration strategies for data assets stored in legacy applications, databases, file systems, and on-premise environments.
Refactor and optimize existing ETL/ELT pipelines, data models, and integration processes to align with modern architectural standards and AI platform requirements.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Nice to have: Generative AI
Nice to have: LLM
Nice to have: Retrieval-Augmented Generation (RAG)
Lead the Architecture & Data team to set guardrails, govern data fabric, and enable AI across Defense & Systems.
Locations (2)
Evendale, Ohio, United States
United States
Compensation
The base pay range for this position is $152,000 - $202,000 annually. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan.
Responsibilities
Lead and develop the Architecture & Data team
Own architecture governance model
Set unified architecture and AI standards
Maintain enterprise-wide capability map
Deliver Defense & Systems Data Fabric
Requirements
Bachelor’s degree from accredited university or college
Associates degree
High School Diploma
Nice to have: Master’s degree in Computer Science, Information Systems, or Engineering
Nice to have: Experience with SAFe
Lead Data & AI Solutions Architect – Government & Infrastructure
Lead Data & AI Solutions Architect – Government & Infrastructure sector, focusing on pre‑sales solutioning and delivery of cloud data and AI solutions
Responsibilities
Serve as a key Lead Data & AI Solutions Architect – Government & Infrastructure sector, focusing on pre‑sales solutioning and the successful delivery of cloud data and AI solutions
Collaborate closely with sales and account teams to thoroughly understand client requirements and tailor solutions accordingly
Lead the Cloud Data Architecture and Delivery teams, ensuring they possess the necessary skills and capabilities to deliver innovative, high‑quality solutions that meet sector‑specific needs
Engage in client meetings and workshops to gather insights, refine solution offerings, and present compelling business cases that demonstrate the return on investment (ROI) of our solutions
Develop and present tailored Go‑To‑Market strategies and solutions that align with best practices in the Government and Infrastructure sector, particularly in the context of AI and data analytics
Architecte Data / IA Services Financiers responsable de la définition, industrialisation et déploiement d’architectures Data & IA pour les services financiers, en assurant conformité réglementaire et performance.
Compensation
Rémunération : En fonction du profil
Responsibilities
Définir des architectures Data & IA : data mesh, feature stores, plateformes MLOps, scoring, pricing et IA générative
Industrialiser les solutions en garantissant passage à l’échelle, performance, résilience et maîtrise des coûts
Traduire les exigences de l’AI Act, DORA, ACPR, RGPD, Bâle et Solvency en choix de conception
Garantir l’explicabilité, la traçabilité, la robustesse et le contrôle des biais des modèles
Intégrer les contraintes des métiers : risques, conformité, anti-fraude, KYC/AML, marketing, relation client, actuariat et trading
Requirements
Master's degree (Bac+5) in Engineering or Business School with strong technical specialization
As the Data Services SME, you will have a background in data governance, integration, and enterprise IT strategy to support critical government and intelligence initiatives.
Responsibilities
Develop and implement data governance strategies across enterprise systems
Lead efforts in data integration, quality assurance, and metadata management
Define and enforce policies for data access, lineage, and lifecycle management
Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage
Support development of enterprise data architectures and services frameworks
Enable Nordea’s strategic Data and AI transformation by ensuring consistent business terminology, reusable information structures, semantic alignment and scalable information models across domain-owned data products.
Develop, implement and maintain canonical, conceptual and logical information models supporting the data product lifecycle.
Drive enterprise-wide information standardization across domains and promote reuse of information assets.
Act as a trusted advisor on Information Architecture topics for strategic initiatives and transformation programmes.
Support the continued development of Nordea’s Information Architecture framework including BIM, CIM, canonical modelling and taxonomy standards.
Requirements
Nice to have: domain knowledge from Business, Data councils or Warehouses
Lead data strategy, governance, and modernization initiatives for a Department of Defense customer, advising senior Army leaders and guiding implementation across complex programs.
Compensation
The target salary range for this position is $130,000-$195,000.
Responsibilities
Assess organizational data capabilities and mission needs
Develop data strategy and AI strategy roadmaps
Develop governance frameworks for government review
Lead federated data management planning and guide implementation
Guide improvements to data catalogs, metadata, lineage, quality, interoperability, and access controls
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