Solution Architect
Hitachi, Ltd.3 months ago
Remote, IndiaSenior
Responsibilities
- Define end-to-end architectures for generative AI, predictive analytics, NLP, and computer vision solutions.
- Develop reusable architecture blueprints, reference patterns, standards, and implementation roadmaps for AI platforms.
- Lead architecture decisions involving data pipelines, model integration, API design, orchestration, deployment, and observability.
- Establish design governance, conduct architecture reviews, and ensure security, privacy, regulatory, and responsible AI compliance.
- Partner with product, engineering, data, and business teams to translate needs into architecture designs.
- Provide guidance to solution architects, engineers, and project teams throughout the delivery lifecycle.
- Present architecture options, trade-offs, and target-state roadmaps to senior leadership and non-technical stakeholders.
- Guide AI/ML engineering, MLOps, model lifecycle management, platform scalability, and adoption of reusable components and standards.
- Evaluate tools, frameworks, cloud services, integration patterns, and emerging AI technologies for enterprise use cases.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.
- 8+ years of experience in technology roles, including significant AI/ML solution architecture and enterprise platform design experience.
- Proven experience architecting and delivering complex AI solutions in enterprise environments.
- Strong expertise in Python, AI/ML frameworks, data architecture, APIs, and system integration patterns.
- Hands-on experience with Azure, AWS, or GCP, MLOps, containerization, and scalable deployment architectures.
- Strong understanding of security, privacy, governance, and responsible AI principles.
- Experience working in global, cross-functional environments with distributed delivery teams.
- Exposure to enterprise AI applications in energy, manufacturing, utilities, healthcare, finance, or retail.
- Certifications in cloud architecture, AI/ML, data engineering, or enterprise architecture frameworks are preferred.
- Experience defining reusable reference architectures, governance models, and technology standards for AI adoption at scale.
- Excellent communication and stakeholder management skills.
Benefits
- Remote full-time position based in Karnataka, India.
- Reasonable accommodation is available for qualified individuals with disabilities during the application process.
Tech Stack
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