Top Artificial Intelligence Jobs in Berlin

Build and maintain evaluation frameworks, observability, and reliability practices for AI/LLM-powered workflows. Define metrics (SLOs/SLIs), monitor drift and hallucination risk, design guardrails for multi-agent systems, support model selection and platform integration, and collaborate across product, security, and data science teams while participating in on-call rotations.

Lead a Germany-based Global Platform Enablement team to evolve platform capabilities for AI enablement and global support. Drive technical direction for reusable AI platform features, architecture, observability, governance, and developer experience while partnering with cross-functional and US-based platform leaders. Build team capability, guide architectural tradeoffs across automation and agentic systems, and ensure operational excellence and alignment with regulatory and regional requirements.

Lead design of AI-powered conversational experiences (voice, chat, multimodal) for logistics, fleet, and mobility. Define dialog architectures, prompts, error handling, and standards; partner with AI, product, and engineering; run user research and testing; mentor teams and ensure ethical, scalable conversational UX across platforms.

Provide administrative and project support for Capital Markets transactions: coordinate back-office processes (KYC/AML, IDs, NDAs), manage CRM/Capforce data, prepare client communications and reporting, maintain investor data room, and support marketing mailings and listings on ImmoScout24.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.

Lead EMEA Employee Relations, Labor Relations, and HR Generalist services. Define regional strategy, manage Works Council and union relationships, oversee investigations, optimize hybrid service delivery, drive transformation, implement data-driven tracking and AI-enabled insights, and partner with HR COEs and business leaders to support M&A and growth.

Develop and maintain backend services, mentor team members, support data scientists in ML model deployment, and improve software architecture.

The AI Architect will design scalable AI architectures, develop monitoring mechanisms, ensure compliance, create RAG pipelines, and collaborate with stakeholders.

Lead product strategy and roadmap for an agentic AI platform, owning end-to-end agent lifecycle, governance, versioning, developer self-service, vendor evaluation, and driving global adoption across internal engineering teams.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

Lead development of AI agents architecture at Toast, collaborating with management and engineers to deliver products and enhance efficiency in systems.

Provide pre-sales and post-sales technical consulting for AI-powered contact center solutions. Qualify prospects, design solution architectures, support sales engagements, lead executive briefings, and enable upsell opportunities. Act as trusted advisor to customers and internal teams, demonstrating deep CX domain expertise and strong presentation, facilitation, and problem-solving skills.

Design, implement, and validate state-of-the-art generative and self-supervised machine learning models for molecular and ligand-based drug design. Develop predictive and representation-learning approaches using large-scale proprietary and external biological datasets, collaborate with computational biology and chemistry teams, and translate research into applied drug discovery solutions and scientific publications.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

Design and implement automations and scalable workflows; work with data and automation tools; build autonomous agent systems for pricing, market analysis and forecasting; manage projects end-to-end; design data architectures and maintain clear documentation to deliver measurable business impact.

Lead research and deliver executive-level insights on enterprise AI strategy, producing thought leadership, advising clients and vendors, supporting sales and conferences, mentoring analysts, and driving research agenda and process improvements to accelerate clients' AI value realization.

The Senior Account Executive drives adoption of AI-based fraud and financial crime solutions, fostering relationships with financial services clients, achieving sales targets, and defining sales strategies in a quota-carrying role.

The Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

The role involves providing employee relations guidance, handling grievances and investigations, maintaining HR data integrity, and leveraging AI tools to improve processes.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Design, develop, and implement AI-driven automations for finance and receivables. Analyze and optimize end-to-end processes, prototype AI agent workflows, integrate APIs and data, deploy solutions, and track KPIs while collaborating with business, tech teams, and external partners.

Responsible for driving business development of AI products, managing the sales cycle, building client relationships, and ensuring contract negotiations are completed.

Record short video and audio clips and transcribe or capture text from media to provide expressive, tonal examples for AI training. Projects may require acting short scripts in varied emotional styles. Remote, project-based work with variable hours.

The Backend Engineer will design, develop, and maintain backend services with AI/ML capabilities, focusing on scalability, performance, and optimization of APIs and distributed systems.