AI Architect

🕒 July 30

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Design and implement scalable agentic solutions for diverse use cases • Leverage open-source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access • Build various types of AI agents • Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools • Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap • Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle • Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions • Conduct performance analysis and capacity planning to ensure platform scalability

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 8+ years of software engineering experience, including 4+ years working on AI/ML platforms or infrastructure • Experience building large-scale distributed systems and microservices • Strong programming skills in Python • Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar • Experience with containerization and orchestration, e.g. Docker and Kubernetes • Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks • Cloud platform experience with AWS, GCP, or Azure • Experience with low-code automation platforms such as n8n, Zapier, Copilot Studio, or similar tools