AI Solution Architect (m / f / d)

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Join to apply for the AI Solution Architect (m / f / d) role at TK Elevator

• Architect end-to-end AI and ML solutions, emphasizing generative AI (e.g., text, image, or code generation), agentic AI systems (e.g., autonomous agents for decision-making), and ML models (e.g., predictive analytics, classification) to address LOB use cases like personalized marketing, customer support automation, financial forecasting, and operational efficiency.
• Provide technical expertise to development teams, ensuring generative AI, agentic AI, and ML solutions are scalable, secure, and integrated with enterprise systems.
• Partner with LOB leaders, data scientists, and IT teams to identify high-impact use cases, define requirements, and translate business needs into robust AI / ML architectures.
• Evaluate and recommend AI / ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, AutoGen)
• Design data pipelines to support generative AI, agentic AI, and ML models, ensuring high-quality data for training, fine-tuning, and inference in LOB contexts, such as customer data for personalization or transactional data for predictive analytics.
• Integrate AI / ML solutions with enterprise systems (e.g., Salesforce, SAP, or marketing platforms) to enable seamless LOB adoption and interoperability.
• Optimize generative AI models, agentic systems, and ML algorithms for performance, cost-efficiency, and accuracy in production, addressing LOB-specific KPIs like prediction accuracy, response time, or customer satisfaction.
• Establish governance frameworks for AI / ML solutions, ensuring compliance with regulations (e.g., GDPR, CCPA) and ethical standards, particularly for sensitive LOB applications like customer data handling or financial modeling.
• Stay abreast of advancements in generative AI (e.g., multimodal models), agentic AI (e.g., multi-agent systems), and ML techniques (e.g., ensemble methods, reinforcement learning), proposing innovative solutions to enhance LOB outcomes, such as automated content creation, intelligent process orchestration, or predictive maintenance.
• Mentor data scientists, developers, and architects in best practices for designing and deploying generative AI, agentic AI, and ML solutions for LOB use cases.

What We Expect

Who we are looking for

What we offer

Who We Are

We are seeking AI Solution Architect responsible for designing and implementing enterprise-level AI solutions, with a strong emphasis on generative AI, agentic AI, and ML-driven systems to address line-of-business (LOB) use cases. This role involves architecting scalable, innovative solutions that leverage generative models (e.g., LLMs, diffusion models), autonomous agentic systems, and ML algorithms to drive business value, enhance customer experiences, and optimize processes. The AI Solution Architect collaborates with cross-functional teams and stakeholders to deliver AI / ML-driven solutions tailored to specific LOB needs, such as sales marketing, customer service, finance, and operations.

Contact

Please, send your application in English.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

Machinery Manufacturing, Facilities Services, and Construction

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