> Markdown version of [/jobs/ext/1243287-senior-consultant-data-ai-solutions](https://www.wearedevelopers.com/jobs/ext/1243287-senior-consultant-data-ai-solutions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Consultant - Data & AI Solutions - **Company:** Allianz - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $85,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Github, Identity and Access Management, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Privacy Controls, Data Logging, Large Language Models, Snowflake, Apache Spark, Generative AI, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks, Microservices - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=372415265e34d8ed ## About the Role * 3+ years of hands-on experience in AI/ML application engineering or technical consulting, with a track record of shipping production solutions. * Advanced Python and strong SQL; demonstrated experience building LLM applications (RAG architectures, Agentic Workflows) and using orchestration frameworks (e.g., LangChain, LlamaIndex). * Cloud proficiency with Azure or AWS AI services (e.g., Azure OpenAI, Cognitive Search; AWS Bedrock), IAM/security hygiene; containers and Kubernetes (AKS/EKS), Infrastructure-as-Code (Terraform), and CI/CD (GitHub Actions) for deployments. * MLOps/LLMOps practices: experiment tracking, prompt/model versioning, offline/online evaluation, monitoring/logging, and incident response. * Integration and data engineering: design APIs/events, microservices, and data pipelines/ETL; ensure data quality, lineage, and privacy/security by design. Hands-on experience with modern data platforms (e.g., Databricks - Lakehouse, Spark, Unity Catalog, Delta tables; Azure Synapse; Snowflake) and data governance/quality tooling (e.g., Informatica) is an advantage; familiarity with Power BI for analytics reporting is a plus. * Structured problem-solving and the ability to bridge business and technology: translate requirements into architecture and delivery plans; quantify impact with KPIs and ROI; make clear, data-backed decisions. * Communication excellence: strong written and verbal skills; executive-ready storytelling; ability to influence and align cross-functional teams; * Education and domain: strong academic background; Master's (or PhD/MBA) from a top university preferred. Relevant cloud/AI/GenAI certifications and domain knowledge in insurance/financial services are advantages. ## Description * Lead end-to-end delivery and own solution architecture for cloud-based AI on Azure/AWS using Python and SQL-focusing on GenAI applications (e.g., RAG and agentic workflows) that deliver measurable business outcomes. * Translate business goals into technical roadmaps, designs, and success metrics; define scope, milestones, and acceptance criteria; manage timelines and risks to ensure on-time, high-quality delivery. * Build, harden, and scale services with solid engineering practices (CI/CD, containerization, Infrastructure as Code with Terraform), robust data pipelines on Databricks Lakehouse architecture (Delta, Unity Catalog), and secure integrations (APIs/events); ensure data quality and privacy by design. * Establish and enforce responsible AI guardrails (safety, privacy, evaluation); lead compliance with Allianz security and governance standards. * Instrument solutions for telemetry and analytics; optimize performance, reliability, and cost; track and report benefits against KPIs and ROI. * Manage stakeholders across Allianz entities: facilitate workshops, communicate trade-offs, produce executive-ready presentations/demos, and align cross-functional teams. * Mentor junior engineers; drive coding standards, documentation quality, PR review rigor, and reusable components/playbooks (templated repos, CI/CD via GitHub Actions) to enable scale. * Drive innovation and vendor/tool evaluation: identify new AI opportunities, run experiments, deliver prototypes and business cases, and support proposals/pre-sales when needed. What you bring ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)