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Sr. Solution Architect

RKube IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
AWSETLGoogle CloudGenerative AIPrompt EngineeringRAG

Job description

Solution Architect (Only W2)

Client : CVS/AETNA

Location: REMOTE

Duration : Long Term

Visa : / EAD

We are seeking a Solution Architect with deep expertise in enterprise data architecture, cloud technologies, and modern AI-enabled solutions. 

The ideal candidate will have experience designing and implementing large-scale data integration and distribution platforms that support both legacy and cloud-based ecosystems.

Key Qualifications:

  • Strong Solution Architecture experience in complex enterprise environments.
  • Expertise in Google Cloud Platform Big Querry and AWS cloud architecture and cloud-native data services.
  • Deep understanding of data modeling, data architecture, and data governance principles.
  • Experience designing data distribution and integration solutions supporting multiple downstream consumers.
  • Hands-on experience with Change Data Capture (CDC) technologies and event-driven architectures.
  • Proven expertise in ETL/ELT design and implementation, including:
    • Mainframe-to-cloud data movement and modernization
    • Cloud-to-mainframe integration and synchronization
    • Large-scale data migration, transformation, and reconciliation
  • Experience with batch, near real-time, and real-time data processing patterns.
  • Knowledge of APIs, messaging technologies, streaming platforms, and distributed data architectures.
  • Experience designing resilient, scalable, and secure enterprise data solutions.

AI & Emerging Technology Experience:

  • Experience designing and implementing AI-enabled solutions and integrating Generative AI capabilities into enterprise platforms.
  • Knowledge of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), vector databases, and AI governance practices.
  • Experience creating and deploying AI agents to automate business processes, orchestrate workflows, and improve operational efficiency.
  • Understanding of agentic AI frameworks, prompt engineering, model evaluation, and responsible AI principles.
  • Ability to design architectures that combine enterprise data platforms, cloud services, and AI technologies to deliver business value.

Health Care Business (Medical Provider Data Management) experience a plus.

We are looking for someone who can provide both strategic architectural leadership and practical implementation guidance while partnering closely with business and engineering teams.

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