Remote AI & MLOps Architect — Lead AI Pipelines

Siri InfoSolutions Inc; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Siri InfoSolutions Inc. seeks an experienced AI / MLOps Architect to design and deploy scalable AI/ML systems remotely. You will lead agent-based AI workflows, ML pipelines, and orchestration logic, collaborating with data scientists, ML engineers, DevOps, and software teams.

You will architect for AI/ML, LLM-based pipelines, vector memory, and RAG architectures, while driving technical strategy, tooling, and infrastructure decisions in a remote, global team.

Qualifications

• Proven experience architecting AI/ML systems and agent-based AI workflows.
• Hands-on experience with AI/ML pipelines, deployment, testing and validation.
• Strong knowledge of NLP, RAG, and vector databases.
• Experience with cloud ML platforms (GCP Vertex AI) and Kubeflow.
• Collaborative in Agile teams across data science, DevOps and software engineering.
• Retail domain experience is a plus.

Responsibilities

• Meet with IT and Business teams to understand requirements.
• Architect AI/ML systems and agent-based AI workflows.
• Lead design and development of AI/ML, MLOps, and agentic AI solutions.
• Develop and optimize ML models, pipelines, and orchestration.
• Deploy models, LLM pipelines, and vector memory systems.
• Collaborate with data scientists, ML engineers, DevOps and software engineers.
• Drive technical strategy and infrastructure decisions.
• Communicate status to management and meet objectives.
• Identify process improvements and cross-team coordination.

Skills

Python

Java

Agentic AI

LangChain

TensorFlow

PyTorch

AutoML

NLP

GCP Vertex AI

Kubeflow

RAG

Vector memory

GPU programming

TensorRT

GitHub

Agile

Tools

Gemini Tools

Custom MCP tools

DB2

Oracle

BigQuery

Bigdata

Cassandra

PostgreSQL

Job description

Siri InfoSolutions Inc. seeks an experienced AI / MLOps Architect to design and deploy scalable AI/ML systems remotely. You will lead agent-based AI workflows, ML pipelines, and orchestration logic, collaborating with data scientists, ML engineers, DevOps, and software teams.

You will architect for AI/ML, LLM-based pipelines, vector memory, and RAG architectures, while driving technical strategy, tooling, and infrastructure decisions in a remote, global team.