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
AWS, AWS Lambda, Node, React, data architecture, data modeling, ETL/ELT, AI/ML
Published 12 November
40 views
·
2 applications
50% read
To apply for this and other jobs on Djinni login or signup.
Loading...