Senior Consultant - Data & AI Solutions

AI/ML Application Engineer

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 Git Hub 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.

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., Lang Chain, Llama Index).

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 (Git Hub 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.

Hybrid 3 days/week in Golden Valley, MN

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working.

We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts. From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.

The annualized base pay range for this role is $85, in Minneapolis. The annual base salary range represents a NYC market range. The actual salary for this position will be determined by a number of factors, including…