Senior AI Engineer

Allianz
Barcelona
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Strategic leadership","Technical leadership","Mentoring","Cross-functional collaboration","Continuous improvement"]

Design, develop, and deploy AI solutions that create business value, operationalizing AI capabilities with Databricks on Microsoft Azure. Serve as the AI & Cloud Architecture SME, leading scalable AI/cloud architecture design, secure data processing, and integration. Build LLM-based applications using Azure OpenAI and RAG/agentic patterns, evaluate foundation models, and establish governance and best practices while mentoring teams and driving AI adoption across the organization.

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FursaFursa
Allianz
Allianz
2 months ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design, develop, and deploy AI solutions that create business value, operationalizing AI capabilities with Databricks on Microsoft Azure. Serve as the AI & Cloud Architecture SME, leading scalable AI/cloud architecture design, secure data processing, and integration. Build LLM-based applications using Azure OpenAI and RAG/agentic patterns, evaluate foundation models, and establish governance and best practices while mentoring teams and driving AI adoption across the organization.
Location: Barcelona
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Act as the department’s AI and Cloud Architecture SME, providing strategic leadership and expert guidance on AI and Microsoft Azure technologies.
  • •Design, build, test, and optimize scalable AI and cloud architectures on Azure, ensuring secure, reliable, and efficient data processing, storage, and integration.
  • •Develop and implement AI-powered solutions leveraging Azure OpenAI Service and Databricks to deliver high-value business outcomes.
  • •Evaluate, select, and integrate foundation models, third-party AI services, and emerging technologies aligned with business goals and technical standards.
  • •Establish governance frameworks, operating procedures, and documentation for AI, data, and cloud platforms; collaborate with cross-functional teams to champion AI adoption.

Pay and Benefits

Equity and Bonus:Equity
Perks:Remote WorkHealth InsurancePensionEquityRelocation

Key Requirements

  • •5+ years of AI/ML engineering experience, including at least 2 years specializing in Generative AI, NLP, LLMs, or Agentic AI solutions.
  • •Proven experience designing and delivering enterprise-scale AI, data, and cloud solutions using Microsoft Azure and Databricks.
  • •Hands-on expertise in Python, SQL, Spark, Azure AI services, Azure OpenAI, Azure Data Lake, Databricks, MLflow, Delta Lake, and model-serving technologies.
  • •Experience building and deploying LLM-based applications, including prompt engineering, RAG architectures, vector databases, AI agents, and orchestration frameworks such as LangChain or LlamaIndex.
  • •Experience with MLOps practices, model lifecycle management, monitoring, fine-tuning techniques (LoRA, RLHF, instruction tuning), and CI/CD automated delivery pipelines.
Experience:5+ yearsAI/MLGenerative AINLPLLMsAgentic AIMLOpsEnterprise
Education:Bachelor's in Computer Science, Data Science, Machine Learning (or related field)
Skills:Strategic leadershipTechnical leadershipMentoringCross-functional collaborationContinuous improvement
Certifications:Microsoft Azure AI Engineer AssociateDatabricks Machine Learning Professional
Tech Stack:DatabricksMicrosoft AzureAzure OpenAI ServiceAzure AI servicesAzure Data LakePythonSQLSparkMLflowDelta LakeModel-servingLLMsGenerative AINLPAgentic AIRAGVector databasesAI agentsLangChainLlamaIndex

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn