Esta oferta de trabajo no está disponible en tu país.

AI Solution Architect (m / f / d)

TK ElevatorMadrid, Comunidad de Madrid, España

Hace más de 30 días

Descripción del trabajo

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

1 week ago Be among the first 25 applicants

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

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.

Who we are looking for

5+ years of experience in solution architecture, with at least 3 years focused on designing and deploying generative AI, agentic AI, and ML solutions in enterprise environments.

Hands-on experience with AI / ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain) and agentic AI platforms for LOB applications.

Proven success in delivering AI / ML solutions for LOB use cases, such as automated customer service, content generation, predictive analytics.

Expertise in generative AI techniques (e.g., LLMs, GANs, VAEs), agentic AI systems (e.g., autonomous agents, reinforcement learning), and ML algorithms (e.g., regression, clustering, decision trees).

Proficiency in programming languages such as Python, R, or Java, with experience in AI / ML libraries and frameworks.

Strong knowledge of data engineering, including ETL pipelines, data lakes, and big data tools (e.g., Spark, Hadoop) for LOB data needs.

Experience with MLOps for deploying and managing generative AI, agentic AI, and ML models in production.

Familiarity with cloud platforms (Azure preferred) and enterprise systems integration (e.g., APIs, microservices).

Ability to align generative AI, agentic AI, and ML solutions with LOB objectives, such as increasing customer engagement, improving forecasting accuracy, or streamlining operations.

Strategic thinking to identify high-value LOB use cases for AI / ML adoption.

Proficiency in Agile and DevOps methodologies for rapid solution delivery.

Deep understanding of enterprise architecture and AI / ML integration patterns for LOB systems.

Commitment to ethical AI practices, particularly for generative AI outputs, agentic decision-making, and ML model fairness.

Strong problem-solving and analytical skills tailored to LOB challenges.

Excellent communication skills to articulate AI / ML benefits to non-technical LOB stakeholders.

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence. A master’s degree or PhD in AI, ML, or a related discipline is preferred.

Dynamic personality, and you are confident in ambiguous situations.

Fast learner and self-motivated to challenge status quo

Flexible to work with team from time zones as global role

Fluency in English (written and spoken; Minimum level : B2);

What we offer

Secure job and salary – permanent contract in a technically exciting, stable, and sustainable industry and an attractive compensation package

Social benefits and an attractive work calendar.

Teamwork & safety – an open, transparent, and value-oriented culture

Individualized training plan from your very first day.

TK Elevator is a company with an open, transparent culture that focuses on the people who make it up. At TKE you will receive frequent feedback, continuous training and space to contribute your ideas.

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

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Machinery Manufacturing, Facilities Services, and Construction

Referrals increase your chances of interviewing at TK Elevator by 2x

Madrid, Community of Madrid, Spain 3 days ago

Madrid, Community of Madrid, Spain 2 months ago

Deep Learning Solutions Architect – Distributed Training

Madrid, Community of Madrid, Spain 1 week ago

Sevilla La Nueva, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 2 weeks ago

Las Rozas de Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 2 weeks ago

Madrid, Community of Madrid, Spain 1 week ago

Endpoint Solutions Architect, Southern Europe

Madrid, Community of Madrid, Spain 2 weeks ago

Madrid, Community of Madrid, Spain 3 months ago

Las Rozas de Madrid, Community of Madrid, Spain 3 months ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 2 weeks ago

Madrid, Community of Madrid, Spain 10 months ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 3 months ago

Senior IT Architect, Solutions - BCG Platinion

Madrid, Community of Madrid, Spain 4 days ago

Madrid, Community of Madrid, Spain 5 months ago

Madrid, Community of Madrid, Spain 4 days ago

Madrid, Community of Madrid, Spain 7 months ago

Madrid, Community of Madrid, Spain 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

J-18808-Ljbffr

#J-18808-Ljbffr

Crear una alerta de empleo para esta búsqueda

Solution Architect • Madrid, Comunidad de Madrid, España