Solution Architect (with AI/ML experience)
Department/Project Description:
A unified, AI-driven market intelligence platform that aggregates internal and external data to deliver real‑time insights across strategic, segment, account, and BU levels, seamlessly interfacing with existing systems to support decision-making.
Job Description:
We are seeking a Lead / Solution Architect to join the AI-driven Market Intelligence (MI) Platform — a next-generation, serverless data and analytics platform that aggregates internal and external data to provide real-time insights for strategic decision-making across the Hitachi ecosystem.
The ideal candidate is a hands-on technical leader and architect with strong expertise in serverless AWS architecture (Lambda, API Gateway, CloudFormation), Node.js / React.js stack, and practical experience in data management and machine learning integration.
This role blends architecture ownership, engineering leadership, and data strategy alignment, ensuring that all components — from ingestion pipelines to AI-powered analytics — operate cohesively, securely, and at scale within enterprise-grade AWS environments.
Required Skills and Qualifications:
- 8+ years of professional experience in software engineering and architecture.
- Proven experience designing serverless AWS solutions (Lambda, API Gateway).
- Expertise in Node.js / TypeScript and React.js ecosystems.
- Solid understanding of data architecture, data modeling, ETL/ELT processes, and ML model integration.
- Hands-on experience integrating AI/ML components.
- Experience with CI/CD pipelines, IaC, and DevSecOps workflows.
- Familiarity with enterprise security standards (IAM, SAML, Okta/Azure AD).
- Strong communication, documentation, and stakeholder management skills.
Preferred Qualifications:
- Experience with AI/ML-driven data platforms, semantic search, or recommendation systems.
- Understanding of data lake architectures and analytics pipelines.
- Background in data governance, observability, and performance optimization for serverless workloads.
- Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
Job Responsibilities:
- Serverless Architecture Design: Design and evolve the end-to-end serverless architecture for the MI Platform using AWS Lambda, API Gateway, S3, CloudFront, SQS, etc.
Ensure scalability, observability, and performance for all backend and frontend components. - Data & ML Solution Design: Define data ingestion and transformation flows, ensuring interoperability with internal and external data sources.
Collaborate with ML engineers to design and integrate ML inference and model-serving pipelines within the serverless ecosystem (e.g., Bedrock, SageMaker, or custom endpoints).
Enforce data quality, lineage, and governance best practices. - Technical Leadership: Provide architectural guidance to backend (Node.js) and frontend (React.js) teams. Drive code and design reviews, ensuring best practices and alignment with Hitachi security and compliance frameworks.
- Integration & API Governance: Design secure APIs and data access layers between application services, ML models, and the frontend. Define patterns for asynchronous and event-driven communication between services.
- Collaboration & Communication: Partner with Product, UX, Data, and DevOps teams to translate business and analytical requirements into scalable solutions.
Present architecture vision, trade-offs, and recommendations to the stakeholders.
Required skills experience
| AWS | |
| AWS Lambda | |
| Node.js | |
| React.js | |
| Data Modeling |
| ETL/ELT | |
| AI/ML |
Required languages
| English | C1 - Advanced |