Senior AI & Data Engineer: GenAI Pipelines & Personalization

Telia Company; Solna kommun; À distance; SEK 1 100 000 - 1 600 000; Plein temps

Avantages offerts par ce poste

Remote work

Résumé du poste

Telia is seeking a Senior AI & Data Engineer to join our team in Sweden. You will build data foundations, AI pipelines, and scalable integrations that power our Sales AI agents and personalized customer journeys.

Collaborate with architects, data scientists, product owners and engineers to move AI solutions from idea to production, applying Agile/SAFe methods and delivering reliable data products for enterprise environments.

Qualifications

• Hands-on engineer solving complex data problems and building production-ready AI capabilities.
• Proven experience in data engineering, AI engineering, platform engineering, or software in enterprise environments.
• Strong knowledge of Python, SQL, APIs, cloud platforms, data pipelines and modern data architecture.
• Experience with Agile/SAFe and cross-functional delivery; Telecom, Sales, CRM or MarTech background is a plus.

Responsabilités

• Build data, integration, and AI engineering foundations powering sales AI agents, recommendations and journeys.
• Create scalable data pipelines, APIs, integrations for AI agents, recommendations and personalization use cases.
• Create reliable data products using customer, offer, product, subscription and behavioral data for AI-enabled sales journeys.
• Enable AI engineering capabilities such as RAG, feature pipelines, real-time decisioning, observability and quality controls.
• Collaborate with architects, data scientists, product owners and engineers to move AI solutions from idea to production.

Connaissances

Data engineering

AI engineering

Platform engineering

Software engineering

Python

SQL

APIs

Cloud platforms

Data pipelines

GenAI

Description du poste

Telia is seeking a Senior AI & Data Engineer to join our team in Sweden. You will build data foundations, AI pipelines, and scalable integrations that power our Sales AI agents and personalized customer journeys.

Collaborate with architects, data scientists, product owners and engineers to move AI solutions from idea to production, applying Agile/SAFe methods and delivering reliable data products for enterprise environments.