Himalayas · Partner listingAI Architect
Cotiviti
⌖ WorldwideSalary not providedRemoteNot specified · Not specified
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Worldwide
About the role
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
Skills mentioned in the listing
PythonDockerKubernetesAWSAzureGoogle CloudDatabricks
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Python · requirement-context
arge-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 containe
Docker · requirement-context
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
Kubernetes · requirement-context
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, GC
AWS · mentioned
flow, 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
Azure · mentioned
w, 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
Google Cloud · mentioned
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 Himal
Databricks · mentioned
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, an