AI Solution Architect

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July 8

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Hitachi

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Artificial Intelligence • Energy • Transport

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

25801 - 25801 employees

Founded 1910

🤖 Artificial Intelligence

⚡ Energy

🚗 Transport

📋 Description

• Responsible for the design, integrity, and quality of AI solutions and associated IT services. • Collaborate with business stakeholders to translate requirements into scalable AI architectures and deployment strategies. • Define and document robust AI solution architectures using Azure-native tools and services. • Evaluate and recommend Azure-based AI technologies, frameworks, and services to meet performance, compliance, and scalability needs. • Work closely with data scientists and ML engineers to operationalize AI models and algorithms. • Stay ahead of emerging Azure AI services and trends; identify opportunities for optimization and innovation.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field. • 10+ years of experience as a Solutions Architect or Technical Lead, with a strong focus on enterprise AI and data-driven solutions. • Deep hands-on experience with the Microsoft Azure ecosystem (e.g., Azure Machine Learning, Azure Cognitive Services, Azure OpenAI, Azure Synapse, Azure Data Lake, etc.). • Proven track record in designing and deploying AI solutions at scale, including model development, data pipelines, and MLOps within Azure environments. • Strong knowledge of modern architectural patterns and cloud-native development, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. • Excellent analytical and communication skills; able to convey complex AI concepts to business and technical stakeholders alike. • Demonstrated experience in working collaboratively in geographically dispersed teams.

🏖️ Benefits

• medical care • life insurance • cafeteria & sports card • training budget & training platform • internal mobility