AI Solution Architect

Overview

Remote
$120,000 - $140,000
Full Time

Skills

Artificial Intelligence
Amazon Web Services
Data Science
Machine Learning Operations (ML Ops)

Job Details

Job Summary:

(note this Solution Architect will be defining AI solutions for this phase of the project, so areas concerning developing and deploying AI will be for future phases)

We are seeking an experienced AI Solution Architect to define cutting-edge artificial intelligence approaches and solutions that drive business innovation for an oil field services company. This role requires a deep understanding of AI technologies, cloud platforms, and enterprise architecture to create scalable, efficient, and impactful AI-driven systems. The ideal candidate will collaborate with cross-functional teams to develop strategies, define best practices, and ensure seamless integration of AI solutions across the organization.

Key Responsibilities:

  • Design, develop, and deploy AI-based solutions aligned with business objectives.
  • Lead architectural decisions for AI systems, ensuring scalability, security, and compliance.
  • Evaluate and integrate AI technologies such as machine learning, natural language processing, and computer vision.
  • Work closely with data scientists, engineers, and product teams to implement AI models into production environments.
  • Oversee AI infrastructure and cloud deployments using platforms like Azure, AWS, or Google Cloud.
  • Provide technical guidance and mentorship to engineering teams on AI-related projects.
  • Stay updated on emerging AI trends and advancements to drive innovation.
  • Develop AI governance policies and ethical guidelines for responsible AI implementation.

Qualifications:

  • Bachelor's or master s degree in computer science, Artificial Intelligence, Data Science, or related field.
  • Proven experience in AI architecture, machine learning models, and enterprise AI solutions.
  • Expertise in cloud computing (Azure, AWS, Google Cloud) and AI frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong programming skills in Python, R, or other relevant languages.
  • Experience with MLOps, model deployment, and data pipeline optimization.
  • Experience in Gen AI, ML, Vector DBs - Pinecone, Graph DB - Neo4J, Databricks etc.
  • Excellent problem-solving and analytical abilities.
  • Strong communication skills to interact with stakeholders and technical teams.

Preferred Qualifications:

  • Certifications in cloud AI services (e.g., Microsoft Certified: Azure AI Engineer Associate).
  • Experience with AI-driven automation or digital transformation strategies.
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.