Senior AI Architecture & ML Ops Leader

V2 Solutions; Hinoba-an; On-site; PHP 2,000,000 - 4,200,000; Full time

Job summary

V2 Solutions is seeking a senior AI engineer/architect to lead the design and development of full-stack AI‑integrated applications and microservices. You will oversee agentic workflows and AI API integrations, while managing both cloud-native and on‑prem deployments, including local LLM setups.

The role requires 14+ years in AI engineering or related fields, strong experience in architecture, RAG platforms, and observability, plus expertise in CI/CD, Docker, Kubernetes, and RESTful APIs.

Qualifications

• 14+ years of experience in AI engineering or related fields.
• Proven experience in application architecture and microservices.
• Strong knowledge of agentic frameworks and AI API integrations.
• Expertise in cloud and on-prem solutions, including local LLM setups.
• Proficiency in RAG platforms and observability techniques.
• Experience with CI/CD, containerization, and serverless platforms.
• Knowledge of event-driven architectures and RESTful API design.

Responsibilities

• Lead the design and development of full stack AI‑integrated applications and microservices.
• Oversee agentic workflows, including agent-to-agent interactions and AI API integrations.
• Manage cloud-native and on‑prem deployments, including local LLM setups (HuggingFace, Ollama).
• Develop and optimize RAG platforms, focusing on vector databases, embeddings, retrieval, prompting, and evaluation.
• Ensure observability, telemetry, and optimization of AI applications.
• Implement CI/CD pipelines, containerization, and orchestration using Docker, Kubernetes, and serverless platforms.

Skills

AI engineering

Microservices architecture

AI API integrations

Cloud/on-prem deployments

CI/CD DevOps

Event-driven architecture

RESTful API design

Leadership

Python

Node.js

Tools

Docker

Kubernetes

Azure

AWS

GCP

Job description

V2 Solutions is seeking a senior AI engineer/architect to lead the design and development of full-stack AI‑integrated applications and microservices. You will oversee agentic workflows and AI API integrations, while managing both cloud-native and on‑prem deployments, including local LLM setups.

The role requires 14+ years in AI engineering or related fields, strong experience in architecture, RAG platforms, and observability, plus expertise in CI/CD, Docker, Kubernetes, and RESTful APIs.