Tekgence Inc
MCP AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MCP AI Architect on a 12+ month remote contract, offering competitive pay. Key skills include AI/ML platforms, agentic AI frameworks, MLOps, cloud-native architectures, and programming in Python, TypeScript, and Go.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 1, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AWS SageMaker #Azure #FastAPI #IAM (Identity and Access Management) #Grafana #Kafka (Apache Kafka) #AI (Artificial Intelligence) #GDPR (General Data Protection Regulation) #Datadog #AWS (Amazon Web Services) #TypeScript #Data Privacy #Scala #BigQuery #GCP (Google Cloud Platform) #Airflow #Lambda (AWS Lambda) #Automation #Prometheus #Security #Jenkins #SageMaker #GraphQL #Data Management #Deployment #MLflow #Kubernetes #Programming #ML (Machine Learning) #Cloud #GitHub #Langchain #Terraform #Python #REST (Representational State Transfer) #Docker #Metadata #Microservices #Observability #Compliance
Role description
MCP AI Architect
Remote Job
12+ months contract
Job Summary:
We are seeking an experienced MCP AI Architect to design and lead end-to-end AI-driven modular component platforms (MCP) leveraging agentic AI systems, MLOps, and cloud-native architectures. The role involves building intelligent, composable AI frameworks integrated with observability, automation, and continuous learning pipelines across multi-cloud environments (GCP/Azure/AWS).
You will drive the architecture and deployment of AI/ML solutions, design intelligent agents, and ensure scalable, secure, and compliant AI ecosystems.
Technical Skills & Competencies:
Core Expertise:
• AI/ML Platforms: Vertex AI, Azure AI Studio, SageMaker, MLflow, Kubeflow, Ray.
• MCP Architecture: Modular design, service mesh, and composable AI componentization.
• Agentic AI Frameworks: LangChain, AutoGen, LlamaIndex, Semantic Kernel.
• Programming: Python, TypeScript, Go (for backend AI orchestration).
• MLOps & CI/CD: Airflow, DVC, Jenkins, ArgoCD, GitHub Actions, Cloud Build.
• APIs & Microservices: FastAPI, GraphQL, REST, gRPC, event-driven messaging (Pub/Sub, Kafka).
• Observability: OpenTelemetry, Grafana, Prometheus, ELK Stack, Datadog.
• Cloud Platforms: GCP (Vertex AI, Cloud Run, BigQuery), Azure (AKS, Cognitive Services), AWS (SageMaker, Lambda).
• Containerization: Docker, Kubernetes, Helm, Terraform.
• Data & Model Governance: ML metadata management, model registry, lineage, and explainability tools.
• Security & Compliance: IAM, role-based access, model risk management, and data privacy (GDPR/CCPA).
Linkedin:- linkedin.com/in/nitesh-ch-a378b5222
Direct: 469-421-5604 , Ext- 218
• nitesh.j@tekgence.com
6655 Deseo Dr, Suite 104,Irving, TX , 75039
• www.tekgence.com
MCP AI Architect
Remote Job
12+ months contract
Job Summary:
We are seeking an experienced MCP AI Architect to design and lead end-to-end AI-driven modular component platforms (MCP) leveraging agentic AI systems, MLOps, and cloud-native architectures. The role involves building intelligent, composable AI frameworks integrated with observability, automation, and continuous learning pipelines across multi-cloud environments (GCP/Azure/AWS).
You will drive the architecture and deployment of AI/ML solutions, design intelligent agents, and ensure scalable, secure, and compliant AI ecosystems.
Technical Skills & Competencies:
Core Expertise:
• AI/ML Platforms: Vertex AI, Azure AI Studio, SageMaker, MLflow, Kubeflow, Ray.
• MCP Architecture: Modular design, service mesh, and composable AI componentization.
• Agentic AI Frameworks: LangChain, AutoGen, LlamaIndex, Semantic Kernel.
• Programming: Python, TypeScript, Go (for backend AI orchestration).
• MLOps & CI/CD: Airflow, DVC, Jenkins, ArgoCD, GitHub Actions, Cloud Build.
• APIs & Microservices: FastAPI, GraphQL, REST, gRPC, event-driven messaging (Pub/Sub, Kafka).
• Observability: OpenTelemetry, Grafana, Prometheus, ELK Stack, Datadog.
• Cloud Platforms: GCP (Vertex AI, Cloud Run, BigQuery), Azure (AKS, Cognitive Services), AWS (SageMaker, Lambda).
• Containerization: Docker, Kubernetes, Helm, Terraform.
• Data & Model Governance: ML metadata management, model registry, lineage, and explainability tools.
• Security & Compliance: IAM, role-based access, model risk management, and data privacy (GDPR/CCPA).
Linkedin:- linkedin.com/in/nitesh-ch-a378b5222
Direct: 469-421-5604 , Ext- 218
• nitesh.j@tekgence.com
6655 Deseo Dr, Suite 104,Irving, TX , 75039
• www.tekgence.com
