Job description

Function Cloud & Data Engineering Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job description Overview The AI Architect will lead the strategy, architecture, governance, and adoption of enterprise AI, Generative AI, and Agentic AI solutions. This role is responsible for defining scalable AI platforms, intelligent agent ecosystems, enterprise knowledge architectures, and governance frameworks that enable secure, trusted, and business-aligned AI transformation. Key Responsibilities • Define enterprise AI strategy, architecture standards, reference architectures, and roadmaps. • Architect and govern AI platforms leveraging Microsoft AI Foundry, Amazon Bedrock, and Google Vertex AI. • Design and implement Agentic AI solutions, including autonomous agents, multi-agent systems, orchestration, memory frameworks, and human-in-the-loop workflows. • Drive adoption of interoperability standards such as MCP, A2A, OpenAPI, and enterprise integration patterns. • Build enterprise knowledge architectures using Knowledge Graphs, Ontologies, Semantic Layers, Metadata Management, and Agentic Retrieval. • Architect RAG solutions utilizing vector databases, graph databases, hybrid search, and enterprise knowledge platforms. • Establish AI Governance and Agent Governance frameworks covering security, compliance, risk management, responsible AI, and policy enforcement. • Implement AI observability, tracing, monitoring, evaluation, and performance measurement using OpenTelemetry and cloud-native tools. • Partner with business, product, security, data, and engineering leaders to deliver strategic AI initiatives. • Provide technical leadership, mentoring, architecture governance, and best practices for LLMOps, MLOps, CI/CD, and cloud-native operations. • Evaluate emerging AI technologies, agent frameworks, and industry standards to drive innovation and competitive advantage. Qualifications • 15 years of experience in enterprise architecture, software engineering, or cloud platforms. • 7 years of experience designing and delivering AI/ML, Generative AI, or Agentic AI solutions. • Deep expertise with Microsoft AI Foundry, Amazon Bedrock, Google Vertex AI, LLMs, RAG, Knowledge Graphs, and AI governance. • Strong knowledge of cloud platforms (Azure, AWS, GCP), enterprise integration, security, and scalable distributed systems. • Proven leadership experience influencing executive stakeholders and leading cross functional teams. Preferred • Master s degree in Computer Science, AI, Data Science, or related field. • Cloud and AI certifications from Microsoft, AWS, or Google Cloud. • Experience leading enterprise AI transformation programs in large global organizations. #LI-MS2 About us We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Requirements

Must-haves

Cloud & Data Engineering
Define enterprise AI strategy, architecture standards, reference architectures, and roadmaps.
Architect and govern AI platforms leveraging Microsoft AI Foundry, Amazon Bedrock, and Google Vertex AI.
Design and implement Agentic AI solutions, including autonomous agents, multi-agent systems, orchestration, memory frameworks, and human-in-the-loop workflows.
Drive adoption of interoperability standards such as MCP, A2A, OpenAPI, and
enterprise integration patterns.
Build enterprise knowledge architectures using Knowledge Graphs, Ontologies, Semantic Layers, Metadata Management, and Agentic Retrieval.
Architect RAG solutions utilizing vector databases, graph databases, hybrid search, and enterprise knowledge platforms.
Establish AI Governance and Agent Governance frameworks covering security, compliance, risk management, responsible AI, and policy enforcement.
Implement AI observability, tracing, monitoring, evaluation, and performance
measurement using OpenTelemetry and cloud-native tools.
Partner with business, product, security, data, and engineering leaders to deliver strategic AI initiatives.
Provide technical leadership, mentoring, architecture governance, and best
practices for LLMOps, MLOps, CI/CD, and cloud-native operations.
Evaluate emerging AI technologies, agent frameworks, and industry standards to drive innovation and competitive advantage.
15 years of experience in enterprise architecture, software engineering, or cloud platforms.
7 years of experience designing and delivering AI/ML, Generative AI, or Agentic AI solutions.
Deep expertise with Microsoft AI Foundry, Amazon Bedrock, Google Vertex AI, LLMs, RAG, Knowledge Graphs, and AI governance.
Strong knowledge of cloud platforms (Azure, AWS, GCP), enterprise integration, security, and scalable distributed systems.
Proven leadership experience influencing executive stakeholders and leading cross functional teams.

Nice-to-haves

Master s degree in Computer Science, AI, Data Science, or related field.
Cloud and AI certifications from Microsoft, AWS, or Google Cloud.
Experience leading enterprise AI transformation programs in large global
organizations.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdmlazureawsgcp

Platform: workday
Effort: long

Benefits

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Vision