The Team
As an AI Manager, you will lead a cross-functional global team of AI engineers, data scientists, and ML Ops specialists. You will manage end-to-end AI delivery, from strategy and architecture to deployment and observability, ensuring alignment with business objectives and compliance standards.
The Role
Leadership & Team Management
Lead and mentor global agile teams across multiple time zones.
Drive scrum ceremonies, sprint planning, and backlog prioritization for AI projects.
Foster a culture of collaboration, innovation, and continuous improvement.
AI Strategy & Execution
Define and execute AI roadmap aligned with enterprise goals.
Oversee development of Agentic AI frameworks, multi-agent orchestration, and contextual workflows.
Ensure successful integration of AI solutions into enterprise systems.
ML Ops & AI Ops Governance
Implement LLMOps/MLOps pipelines for model lifecycle management.
Establish AI Ops observability frameworks for monitoring latency, reliability, and performance.
Enforce explainability, bias detection, and compliance protocols for all AI deployments.
Stakeholder Engagement
Collaborate with business leaders to translate requirements into technical deliverables.
Communicate project status, risks, and outcomes to executive stakeholders.
Ensure alignment with data governance and regulatory standards.
What you’ll bring
Bachelor’s or master’s in computer science, AI/ML, or related field.
10+ years in AI/ML development; 5+ years in leadership roles managing agile teams.
Proven experience with Agentic AI frameworks, multi-agent orchestration, and LLMs.
Hands-on expertise in ML Ops, AI Ops, and observability tools.
Strong knowledge of GCP services (Vertex AI, Cloud Run, GKE) and cloud-native AI deployments.
Excellent communication and stakeholder management skills.
Preferred Qualifications
Certifications: Agile/Scrum Master, Google Professional Cloud Architect, Machine Learning Engineer.
Experience with LangChain, RAG pipelines, and evaluation harnesses.
Familiarity with global delivery models and distributed team management.
Exposure to AI governance frameworks and compliance standards.
Key Competencies
Strategic leadership with a focus on AI innovation and operational excellence.
Ability to manage complex, multi-region AI programs.
Strong problem-solving and decision-making skills.
Passion for responsible AI, observability, and continuous improvement.
Success Metrics
Delivery of enterprise AI solutions meeting performance and compliance targets.
Established ML Ops and AI Ops frameworks across global teams.
Improved AI reliability, explainability, and governance readiness.
Positive impact on business outcomes and stakeholder satisfaction.
What You’ll Work With
Platforms: Gemini Enterprise, Vertex AI, Agentic AI frameworks.
Cloud & Ops: GCP, AI Ops observability tools, CI/CD pipelines.
Team Tools: Agile boards, collaboration platforms, global delivery frameworks.
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.
Skills Required
- Bachelor's or Master's in Computer Science, AI/ML, or related field
- 10+ years in AI/ML development
- 5+ years in leadership roles managing agile teams
- Proven experience with Agentic AI frameworks and multi-agent orchestration
- Hands-on expertise in ML Ops and AI Ops
- Strong knowledge of GCP services and cloud-native AI deployments
- Excellent communication and stakeholder management skills
- Certifications: Agile/Scrum Master, Google Professional Cloud Architect
- Experience with LangChain, RAG pipelines, and evaluation harnesses
- Familiarity with global delivery models and distributed team management
- Exposure to AI governance frameworks and compliance standards
What We Do
Hitachi Digital Services is an independent services business that focuses on delivering a unified operating model for cloud, data, IoT and managed services. Playing a pivotal role in Hitachi's digital transformation strategy, Hitachi Digital Services places a strong emphasis on Generative AI to deliver an integrated end-to-end digital transformation for enterprises. The company is strategically positioned within the Hitachi Digital portfolio of companies to leverage the synergies between operational technology (OT), information technology (IT), and product and service offerings. Such positioning allows Hitachi Digital Services to work closely with Hitachi Digital, the new Hitachi Vantara and Hitachi group businesses, including GlobalLogic, to create an integrated end-to-end digital transformation solution for enterprises
