Platform Architect – Data & AI

Majesco•United States,
•$105,000 - $135,000•Remote

About The Position

Majesco is hiring a hands-on Platform Architect to design and prototype solutions that connect enterprise data, applications, cloud infrastructure, and AI capabilities. The role translates business needs into practical technical architectures and builds core components and proofs of concept, while defining the integrations, infrastructure, and security requirements needed to deliver solutions. The architect owns technical design from concept through validation, partnering with the Platform Delivery Lead and specialized teams when engineering or infrastructure work requires their support. The position is fully remote in the United States.

Requirements

  • Experience in solution architecture, platform engineering, data engineering, software development, or a related technical discipline.
  • Hands-on experience designing, developing, or prototyping technical solutions.
  • Strong understanding of SQL, data modeling, data integration, and how data moves across enterprise systems.
  • Working knowledge of cloud architecture, APIs, application integrations, and modern data platforms.
  • Ability to translate business requirements into technical designs, diagrams, specifications, and working prototypes.
  • Familiarity with AI technologies and interest in building secure, practical AI solutions connected to enterprise data.

Nice To Haves

  • Experience with Microsoft Fabric, Databricks, Snowflake, or modern lakehouse architectures.
  • Azure or AWS cloud architecture, hosting, and enterprise integrations experience.
  • Experience with ETL/ELT pipelines, data transformation, semantic models, and advanced SQL.
  • Experience with AI agents, AI gateways, MCP servers, RAG, or agentic AI frameworks.
  • Experience with enterprise AI platforms such as Glean, Claude, or OpenAI.
  • Experience with identity and access management, Single Sign-On (SSO), and enterprise security architecture.
  • Experience building micro-applications, internal tools, or AI-enabled business solutions.

Responsibilities

  • Design scalable Data & AI architectures connecting enterprise applications, data platforms, cloud infrastructure, and AI capabilities.
  • Build and prototype proofs of concept, core data structures, SQL tables, integrations, and other working components.
  • Architect data flows from source systems through ingestion and transformation into business-ready data models for analytics, applications, and AI.
  • Design solutions connecting AI with enterprise systems using AI gateways, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), APIs, and agentic AI architectures.
  • Translate designs into actionable technical plans, defining infrastructure, hosting, security, identity management, and integration requirements.
  • Partner with the Platform Delivery Lead to coordinate work requiring specialized teams.
  • Review completed implementations, test connectivity and integrations, and validate that solutions meet architectural and business requirements.
  • Adapt to changing business needs, shifting priorities, new technologies, and projects beyond the initial scope.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Employer-funded HSA coordinating with a high-deductible health plan
  • Flexible spending account (FSA)
  • Short-term and long-term disability insurance
  • Life and AD&D insurance
  • 401(k)
  • Flexible time off
  • Paid sick days
  • 11 paid holidays
  • Paid parental/bonding leave
  • Career anniversary leave
  • Other voluntary benefits
  • Most benefits coverage starts on day one
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