Senior AI Solutions Engineer, Data Science

Bertelsmann SE & Co. KGaA

. Design, build, and operate LLM-powered applications and services, including agentic workflows, retrieval/RAG systems, and classification pipelines .

Posted 9/18/2026full-timeRemote • New York • United StatesSenior💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating LLM-powered applications, with a strong focus on AI systems integration, cloud platforms, and machine learning methodologies. Proficient in Python and experienced in leading AI engineering initiatives to enhance team capabilities.

Highest-signal resume keywords

LLM-Powered Application DevelopmentAWS/Databricks DeploymentMachine Learning Systems IntegrationPython EngineeringAI/ML Application in Commercial Problems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI SystemsPythonVersion ControlTestingCIRetrieval-Augmented GenerationEmbeddingsPrompt EngineeringVector Databases

Soft Skills

Strong CommunicationTeaching Ability

Tools & Technologies

MCP ServersCloud ML PlatformsModel APIsBedrockAnthropicOpenAI

Certifications & Qualifications

Advanced Degree (MS/PhD) in Computer ScienceMachine Learning

Industry Keywords

MediaPublishingContent-Rich DomainsDemand ForecastingSales OptimizationMarketing OptimizationRecommendation SystemsSearch

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Design, build, and operate LLM-powered applications and services, including agentic workflows, retrieval/RAG systems, and classification pipelines
Build systems over catalog, sales, and operational data
Stand up and maintain MCP servers and tool integrations connecting AI models and assistants to internal data and systems safely and reliably
Own services end-to-end, including architecture, implementation, deployment, evaluation, and monitoring in AWS/Databricks
Evaluate emerging AI tooling and patterns, run structured pilots, and lead adoption of effective solutions
Raise the team's AI engineering capability through working sessions, internal demos, pairing with scientists, and internal tools

Requirements

What you’ll need

3+ years building and shipping production-quality software
Hands-on work with machine learning or AI systems
Experience standing up MCP servers or comparable tool-integration layers for AI assistants
Experience with cloud ML platforms such as AWS and Databricks
Experience with model APIs such as Bedrock, Anthropic, and OpenAI
Experience with vector databases
Experience applying AI/ML to commercial problems such as demand forecasting, pricing, sales and marketing optimization, recommendation, or search
Background in media, publishing, or other content-rich domains
Demonstrated fluency with retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems
Strong Python engineering skills
Experience with version control, testing, and CI
Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative field
Strong communication skills and ability to teach and level up teammates
Resume and cover letter required for consideration

Benefits

Comp & perks

Annual profit award or bonus, subject to Company results
Medical/Prescription drug insurance
Dental insurance
Vision insurance
Health Care/Dependent Care Flexible Spending Account
Health Savings Account
Pre-Tax and Roth 401(k)
Short- and Long-Term Disability Insurance
Life/AD&D Insurance
Commuter Benefits
Student Loan Repayment Program
Educational Assistance
Generous paid time off