Principal Agentic AI Architect || Remote USA ||

Overview

Remote
Full Time

Skills

Integration
AI
ML
Agent

Job Details

Role: Principal Agentic AI Architect
Location: Remote USA
Job Type: Full-Time
Experience: 10+ Years

Job Description:

We are seeking a Principal Agentic AI Architect with strong expertise in designing, building, and deploying large-scale AI/ML systems and applications. The ideal candidate will have hands-on experience with foundation models (LLMs), AI toolchains (LangChain, MLflow, etc.), and MLOps practices for production-grade implementations. This role requires technical depth, strategic thinking, and the ability to collaborate across architecture, engineering, and client teams.

Key Responsibilities:

  • Automate AI/ML model deployment and set up monitoring for ML pipelines.
  • Integrate existing and new codebases into customer data pipelines.
  • Execute proof-of-concepts (POCs) and implement best practices for scalable model operations.
  • Work with databases, test ML models, and use version control systems (e.g., Git).
  • Build and deploy ML-powered applications using frameworks like Flask and FastAPI.
  • Leverage large foundation models (LLMs) and associated toolchains such as LangChain and APIs to create production-ready tools and workflows.
  • Use experiment tracking frameworks such as MLflow for reproducibility and model management.
  • Develop and automate data pipelines using tools such as Apache Airflow, Kafka, and RabbitMQ.
  • Automate CI/CD pipelines to manage data, code, and model updates seamlessly.
  • Utilize containerization and orchestration tools such as Docker and Kubernetes for deployment and scaling.
  • Collaborate with client architecture teams, manage deployment cycles, and coordinate with AI/ML developers for solution rollout.

Required Skills & Qualifications:

  • 10+ years of experience in AI/ML architecture, software engineering, or data science roles.
  • Strong programming background in Python with practical experience in machine learning algorithms and frameworks.
  • Proficiency in MLOps practices, automation, and scalable model deployment.
  • Experience with Flask, FastAPI, Airflow, Kafka, RabbitMQ, Docker, and Kubernetes.
  • Hands-on experience with Large Language Models (LLMs) and frameworks such as LangChain, MLflow, and similar tools.
  • Excellent communication and leadership skills to interface with technical and client teams.

Preferred Qualifications:

  • Experience designing and deploying AI agentic architectures or autonomous AI workflows.
  • Familiarity with cloud environments (AWS, Azure, or Google Cloud Platform) for model deployment and orchestration.
  • Understanding of data governance, model monitoring, and AI lifecycle management.
  • Strong problem-solving mindset and ability to lead AI-driven transformation initiatives.
  • Understanding of security best practices and compliance frameworks in financial applications.

V2 Innovations Inc is an Equal Opportunity Employer and welcomes applicants from all backgrounds. We provide equal employment opportunities to all employees and applicants and comply with all EEO and affirmative action guidelines, embracing diversity, inclusion, and fairness in our hiring process. Diversity fuels innovation. Inclusion powers success.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.