Description review
AI Architect
Cotiviti · India · back to the listing
HR standards
58/100
needs work
Title ↔ description
68/100
needs work
Reads as
Unclear
no confident match
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
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What the listing never says
- 16 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Overview
Cotiviti is seeking an experienced AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform that will serve as the backbone of our organization's AI initiatives. This role will be responsible for creating a unified interface that enables teams across the company to securely deploy, manage, and access AI agents while ensuring seamless data integration and platform reliability. The role will work closely with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering teams.
Responsibilities
• Design and implement scalable agentic solutions for diverse use cases
• Leverage a broad stack of Open Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of 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.
Qualifications
• 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 in 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, Kubernetes).
• Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks
• Cloud platform experience (AWS, GCP, or Azure).
• Worked on low-code automation platforms such as n8n, Zapier, Copilot Studio, and similar tools.
Originally posted on Himalayas
Cotiviti is seeking an experienced AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform that will serve as the backbone of our organization's AI initiatives. This role will be responsible for creating a unified interface that enables teams across the company to securely deploy, manage, and access AI agents while ensuring seamless data integration and platform reliability. The role will work closely with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering teams.
Responsibilities
• Design and implement scalable agentic solutions for diverse use cases
• Leverage a broad stack of Open Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of 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.
Qualifications
• 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 in 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, Kubernetes).
• Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks
• Cloud platform experience (AWS, GCP, or Azure).
• Worked on low-code automation platforms such as n8n, Zapier, Copilot Studio, and similar tools.
Originally posted on Himalayas