The Associate Information Data Architect plays a key role in delivering trusted, high‑quality analytics, data products, and insights that support strategic and operational decision‑making across the organization.
Compensation
The target hiring range for this role may vary based on geographic location and other factors, including merit or performance, demonstrated proficiency, skills for the role, education, travel requirements, and experience. Additional compensation may include an annual bonus (which could take the form of a general bonus, sales incentive, or short-term incentive), long-term incentive or spot recognition awards.
Responsibilities
Translate reporting and analytical requirements into analytical datasets, metric definitions, and reporting solutions
Design and document source‑to‑target mappings, transformation logic, and data lineage for cross-system integrations
Conduct deep‑dive data analysis to validate logic, resolve discrepancies, and support modernization or migration initiatives
Respond to ad hoc and urgent requests by delivering accurate, timely information in a fast-paced environment
Communicate complex data concepts clearly through written and verbal channels for both technical and business audiences
The Principal Agentic Engineer will define and build the technical foundations of an organization-wide AI ecosystem, connecting AI platforms, developer tooling, and agentic product development.
Compensation
US-based annual salary range of $247,000–$363,000.
Responsibilities
Architect across the AI ecosystem
Define the technical vision and architecture for an AI-native developer ecosystem
Lead build-versus-buy decisions for PDLC-critical agents and ecosystem-wide capabilities
Design and build foundational ecosystem components, including agent execution frameworks, context and retrieval systems, and telemetry
Design and implement agentic automation for business and engineering processes, build autonomous systems, and contribute to architecture and code quality.
Compensation
The salary for this position starts at EUR 55.000 per year (for 38.5 hours/week) and can be significantly higher depending on your qualifications.
Responsibilities
Design and implement agentic automation for business and engineering processes
Take ownership of architecture and implementation of complex, highly scalable multi-agent systems
Integrate LLMs with existing enterprise IT systems, engineering tools, and data pipelines
Apply clean code practices, design patterns, and test-driven development
Collaborate with domain experts, data engineers, and developers
Requirements
Completed degree in Computer Science, Software Engineering, Informatics, or a comparable field with a strong IT focus
Austrian HTL degree with several years of relevant professional experience
Responsible for designing, developing, and implementing automated scientific data extraction and standardization solutions supporting the National Institute of Standards and Technology (NIST) CHIPS METIS initiative. Develops advanced Python-based pipelines to extract figures, charts, and tables from scientific documents and transform non-standard research data into structured, machine-readable formats.
Responsibilities
Design and implement automated OCR and document layout analysis pipelines to extract scientific figures, charts, and tables from PDF and Microsoft Word documents.
Develop algorithms to identify and extract figure captions, axis labels, measurement units, and associated scientific metadata.
Implement table extraction capabilities that preserve row and column structures, headers, and data relationships.
Integrate extracted metadata with established controlled vocabularies and ontologies within the Controlled Vocabulary Curation System (CVCS).
Develop and enhance user interfaces that enable scientific domain experts to validate extracted content and correct OCR errors.
Requirements
Bachelor's degree (four-year) in Computer Science, Data Engineering, or a related field.
Software Mind is joining the client's engineering team to build a new plugin platform in Go, Kafka and Google Cloud, letting internal teams extend LiveOps through a strict plugin interface.
Responsibilities
Build the platform's first plugin, a gacha / wheel-of-fortune reward mechanic.
Lead the scientific data programme behind FENIX, managing bioinformatics and curation teams, developing data strategy, ensuring quality, and coordinating with EMBL-EBI partners.
Compensation
Grade 7, monthly salary from £4,395 after tax, plus generous benefits and financial allowances based on individual circumstances. Excluding 12.99% personal pension and insurance contributions.
Responsibilities
Lead and develop the bioinformatics and curation team, with formal line management responsibilities including objectives, appraisals, performance management, career development and recruitment.
Develop the scientific data strategy and roadmap with the Team Leader and Technical Lead, translating scientific needs and emerging technologies into priorities and achievable delivery plans.
Own standards for submitted data, metadata and curation, including experimental descriptions and sample relationships.
Define additional quality controls and suitability criteria for downstream analysis, visualisation and reuse.
Lead the development, validation and improvement of reproducible Nextflow workflows.
Requirements
A degree in bioinformatics, computational biology, molecular biology, genomics or a related discipline, or equivalent relevant professional experience.
Nice to have: line management
Nice to have: JSON Schema for metadata
Nice to have: relational or document databases
Nice to have: public biological data resource experience
Senior Software Engineer focused on building a front-end development platform for Shield AI’s Hivemind autonomy software.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot.
Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context.
Define typed, versioned contracts between the platform and independently deployed Forge applications.
Create workflows for teams to package, publish, configure, install, upgrade, and disable applications.
Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards.
Associate Information Data ArchitectNewThe Hanover Insurance Group · Worcester, US
Principal Agentic Engineer, AI EcosystemNewJobgether · Remote, US
Data EngineerNewElectrosoft · Gaithersburg, US
Senior Software EngineerSimpliSafe · Boston, US
Functional Genomics Data Project LeadEMBL · Hinxton, United Kingdom
Principal Agentic Engineer, AI EcosystemLife360 · Remote, US
Senior Software Engineer, Frontend Platformf7d8749a-72d6-407c-bf98-292ea630c73a · San Diego, US