20 publicaciones de empleo destacadas de agentic ai engineer en barcelona, ct (¡Están contratando!)

Director Data Science & Agentic AI
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- Jornada completa
- Inglés
- Investigación
- Máster
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- De 42.800 € a 86.250 € al año
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Systellar —Barcelona, Barcelona provincia
- De 30.000 € a 50.000 € al año
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
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Mango —Palau-solità i Plegamans, Barcelona provincia
- Incorporación inmediata
- Trabajo híbrido
- Servicio en mesas
- Azure
- Doctorado
- Flexibilidad horaria
- Teletrabajo opcional
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Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
- Machine learning
- Plan de pensiones
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Business Insights —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
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- Jornada completa
- Java
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- Inteligencia artificial
Lead Software Engineer – AI Product Development (Data)
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- Jornada completa
- Azure
- Informática
- Oficina
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Bsport —Barcelona, Barcelona provincia
- Trabajo híbrido
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Keysight Technologies, Inc. —Barcelona, Barcelona provincia
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Wizeline —Barcelona, Barcelona provincia
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Gartner —Barcelona, Barcelona provincia
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- Inglés
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Principal AI Engineer - Evinova
AstraZeneca —Barcelona, Barcelona provincia
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- Informática
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Datavant —Barcelona, Barcelona provincia
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Senior Applied AI Engineer – Developer Productivity & SDLC
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- Media jornada
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Clarivate —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Informática
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ailylabs —Barcelona, Barcelona provincia
- Jornada completa
- Oficina
- Máster
- SQL
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Zurich Insurance —Barcelona, Barcelona provincia
- Horas extra
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- Azure
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Abbott Laboratories —Barcelona, Barcelona provincia
- Jornada completa
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Director Data Science & Agentic AI

Novartis -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Derecho
Inglés
Investigación
Máster
Machine learning
Deep learning
NLP
APIs
Inteligencia artificial
Patrones de diseño

Descripción completa del empleo

Summary

Independently lead agentic AI initiatives within the SPPO Data Science and AI Strategy in Global Drug Development, directly contributing to faster delivery of transformative medicines to patients.

Role model a culture of AI-augmented, data-driven decision-making across GDD functions — spanning clinical development, translational research, and regulatory.

Deep technical expert with accountability for agentic AI systems that reduce time to insight and time to patient across global development programs.

Shape the agentic AI direction for your organizational domain, grounded in the broader GDD strategy set by leadership.

Where managing a team: empower, guide, and coach data scientists and AI engineers to deliver at the frontier of applied AI in drug development.

About the Role

Internal job title: Director

Position Location: Hybrid working arrangement, Barcelona, Spain (position can also be based out Dublin-please search for job REQ-10075844) #LI-Hybrid

This is a senior AI leader role within Novartis Global Drug Development (GDD), responsible for leading the design, build, and productionization of agentic AI systems — think multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration — to accelerate drug development timelines and time-to-patient. The role sits at the intersection of deep technical expertise (agentic frameworks, RAG, governance, data foundations) and strategic influence, shaping the agentic AI direction for its domain while collaborating across clinical development, translational research, and regulatory functions.

Beyond hands-on design and delivery, the position carries accountability for agent evaluation frameworks (reliability, hallucination risk, auditability), agentic governance, stakeholder coordination across globally dispersed teams, and external visibility through publications and conference presentations. Where a team is in scope, the leader is expected to coach and develop data scientists and AI engineers at the frontier of applied AI in pharma. It requires 10+ years of production AI/ML experience with specific fluency in agentic design patterns and responsible-AI practices.

Major Accountabilities:

Develop and execute a roadmap for agentic AI systems — including multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration — across multiple business verticals
Architect, prototype, and productionize agentic pipelines: agent orchestration, memory and context management, tool integration, and human-in-the-loop governance frameworks
Define agent evaluation frameworks covering reliability, hallucination risk, task completion rate, and regulatory-grade auditability
Design and implement the data foundations (master data, governance, quality) that agentic systems depend on for grounded, trustworthy decision-making
Identify and integrate internal/external data sources, APIs, and knowledge bases as agent-accessible tools with appropriate access controls and governance
Strategically coordinate and prioritize team resources across initiatives; proactively manage risks, stakeholder expectations, and competing priorities
Collaborate with globally dispersed stakeholders, external partners, and cross-functional teams to translate business problems into agentic AI solutions
Proactively evaluate the evolving agentic AI landscape (e.g., reasoning models, agent frameworks, MCP, RAG) and guide technology selection
Provide agile consulting and guidance on unplanned, high-priority analytical and AI challenges
Publish and present at conferences and academic institutions; serve as a Novartis ambassador for agentic and applied AI
Coach and develop junior data scientists and AI engineers in agentic design patterns and responsible AI practices

Key Performance Indicators:

Agentic system deployment rate and measurable business impact per vertical
Agent reliability and task-completion metrics vs. baseline
Governance and compliance endorsement at program tollgates
Successful implementation against enterprise data and AI program objectives

Minimum Requirement: Work Experience:

Advanced degree in related field preferred. 10+ years in Data Science or AI, with demonstrable experience building and deploying production AI/ML systems
Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, or equivalent)

Skills:

Agentic AI system design and orchestration
LLM tool-use, RAG, and multi-agent coordination patterns
AI governance and responsible AI (EU AI Act awareness a plus)
Machine learning, deep learning, NLP and GenAI
Data governance, quality, and strategy
Statistical analysis and data visualization
Change management and organizational awareness
Stakeholder engagement and business value creation
Mentorship and learning agility

Language:

English

Benefits & Rewards:

Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)

Division

Development

Business Unit

Development

Location

Spain

Site

Barcelona Gran Vía

Company / Legal Entity

ES06 (FCRS = ES006) Novartis Farmacéutica, S.A.

Functional Area

Data and Digital

Job Type

Full time

Employment Type

Regular

Shift Work

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