Allianz

2 weeks ago

Senior Consultant - Data & AI Solutions

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead end-to-end delivery and solution architecture for cloud-based GenAI applications using Azure/AWS and Python/SQL. Translate business goals into roadmaps, scope, and success metrics while managing timelines, risks, and acceptance criteria. Build and scale services with CI/CD, containers, Terraform, and Databricks Lakehouse data pipelines, ensuring privacy and responsible AI guardrails. Drive telemetry, performance/cost optimization, and KPI/ROI reporting; mentor engineers and collaborate across Allianz entities.

Location: Minneapolis

Workplace: Hybrid

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Lead end-to-end delivery and own cloud AI solution architecture on Azure/AWS for GenAI applications, including RAG and agentic workflows.
•Translate business goals into technical roadmaps, designs, success metrics, and acceptance criteria; manage scope, milestones, timelines, and risks.
•Build, harden, and scale services using CI/CD, containerization, Terraform, and secure integrations (APIs/events), with data pipelines on Databricks Lakehouse architecture.
•Establish responsible AI guardrails and drive compliance with Allianz security and governance standards; ensure data quality, lineage, and privacy by design.
•Instrument solutions for telemetry and analytics, optimize performance/reliability/cost, track KPIs/ROI, mentor junior engineers, and support innovation via experiments and prototypes.

Pay and Benefits

Salary: USD 85,000 - 115,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kAnnual BonusPaid HolidaysPaid LeavePaid ParentalEquity

Key Requirements

•3+ years of hands-on experience in AI/ML application engineering or technical consulting, shipping production solutions.
•Advanced Python and strong SQL, with experience building LLM applications such as RAG architectures and agentic workflows using orchestration frameworks (e.g., LangChain, LlamaIndex).
•Cloud proficiency with Azure or AWS AI services (e.g., Azure OpenAI, Cognitive Search; AWS Bedrock), including IAM/security hygiene and deployments using Kubernetes (AKS/EKS), Terraform, and CI/CD (GitHub Actions).
•MLOps/LLMOps experience including experiment tracking, prompt/model versioning, offline/online evaluation, monitoring/logging, and incident response.
•Integration and data engineering experience designing APIs/events, microservices, and data pipelines/ETL, plus hands-on with Databricks Lakehouse (Spark, Unity Catalog, Delta), Azure Synapse, and Snowflake.

Experience:3+ yearsAI/MLGenAIMLOpsInsuranceFinancial services

Education:Master's

Skills:Stakeholder managementCommunicationMentoringProblem-solvingExecutive storytelling

Tech Stack:PythonSQLAzureAWSAzure OpenAICognitive SearchAWS BedrockLangChainLlamaIndexKubernetesAKSEKSTerraformGitHub ActionsCI/CDDatabricksDeltaUnity CatalogSparkAzure Synapse

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

Website LinkedIn

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Allianz

2 weeks ago

Senior Consultant - Data & AI Solutions

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Minneapolis

Workplace: Hybrid

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Lead end-to-end delivery and own cloud AI solution architecture on Azure/AWS for GenAI applications, including RAG and agentic workflows.
•Translate business goals into technical roadmaps, designs, success metrics, and acceptance criteria; manage scope, milestones, timelines, and risks.
•Build, harden, and scale services using CI/CD, containerization, Terraform, and secure integrations (APIs/events), with data pipelines on Databricks Lakehouse architecture.
•Establish responsible AI guardrails and drive compliance with Allianz security and governance standards; ensure data quality, lineage, and privacy by design.
•Instrument solutions for telemetry and analytics, optimize performance/reliability/cost, track KPIs/ROI, mentor junior engineers, and support innovation via experiments and prototypes.

Pay and Benefits

Salary: USD 85,000 - 115,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kAnnual BonusPaid HolidaysPaid LeavePaid ParentalEquity

Key Requirements

•3+ years of hands-on experience in AI/ML application engineering or technical consulting, shipping production solutions.
•Advanced Python and strong SQL, with experience building LLM applications such as RAG architectures and agentic workflows using orchestration frameworks (e.g., LangChain, LlamaIndex).
•Cloud proficiency with Azure or AWS AI services (e.g., Azure OpenAI, Cognitive Search; AWS Bedrock), including IAM/security hygiene and deployments using Kubernetes (AKS/EKS), Terraform, and CI/CD (GitHub Actions).
•MLOps/LLMOps experience including experiment tracking, prompt/model versioning, offline/online evaluation, monitoring/logging, and incident response.
•Integration and data engineering experience designing APIs/events, microservices, and data pipelines/ETL, plus hands-on with Databricks Lakehouse (Spark, Unity Catalog, Delta), Azure Synapse, and Snowflake.

Experience:3+ yearsAI/MLGenAIMLOpsInsuranceFinancial services

Education:Master's

Skills:Stakeholder managementCommunicationMentoringProblem-solvingExecutive storytelling

Tech Stack:PythonSQLAzureAWSAzure OpenAICognitive SearchAWS BedrockLangChainLlamaIndexKubernetesAKSEKSTerraformGitHub ActionsCI/CDDatabricksDeltaUnity CatalogSparkAzure Synapse

Company Brief

Allianz

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

Website LinkedIn