Artificial Intelligence - AI Architect

• Posted 22 hours ago • Updated 22 hours ago
Full Time
Fitment

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Job Details

Skills

  • Database
  • Open Source
  • Scalability
  • Evaluation
  • Management
  • Extract
  • Transform
  • Load
  • Data Architecture
  • Regulatory Compliance
  • Privacy
  • IT Management
  • Sales
  • Software Design
  • Presentations
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Large Language Models (LLMs)
  • Transformer
  • Prompt Engineering
  • Design Patterns
  • LangChain
  • LlamaIndex
  • Python
  • TypeScript
  • Java
  • Scala
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Machine Learning Operations (ML Ops)
  • Microservices
  • Training
  • Audiovisual
  • Vector Databases
  • Customer Facing
  • Orchestration
  • Docker
  • Kubernetes
  • Risk Management
  • Health Care
  • Financial Services
  • Retail
  • Generative Artificial Intelligence (AI)
  • Systems Architecture
  • Strategic Thinking
  • Communication
  • Stakeholder Management
  • Leadership
  • Mentorship
  • Collaboration
  • Computer Science
  • Data Science
  • Software Engineering
  • Data Engineering
  • Artificial Intelligence
  • Machine Learning (ML)

Summary

Position Title: AI Architect

Position Location: Remote - US

Job Summary:

The experienced AI Architect with deep expertise in Generative AI will lead the design, development, and deployment of scalable AI solutions for our clients. This role combines strategic advisory capabilities with hands-on architectural leadership across both traditional machine learning and modern generative AI systems.

Essential Functions:
  • Design and architect end-to-end AI/ML and Generative AI solutions aligned with client business objectives.
  • Lead development of AI systems including LLM-powered applications, predictive models, and intelligent automation.
  • Architect RAG (Retrieval-Augmented Generation) pipelines and vector database solutions.
  • Evaluate, select, and integrate foundation models (e.g., OpenAI, open-source LLMs, fine-tuned models).
  • Define best practices for AI solution design, scalability, performance, and governance.
  • Establish standards for prompt engineering, model evaluation, and responsible AI guardrails.
  • Design and oversee data pipelines, ETL processes, and supporting data architecture.
  • Collaborate with cross-functional teams (data scientists, engineers, business stakeholders) to deliver solutions.
  • Ensure compliance with security, privacy, and ethical AI principles.
  • Provide technical leadership, mentorship, and architectural guidance to project teams.
  • Support pre-sales and client engagements, including solution design and presentations.
  • Stay current with emerging AI trends, especially in Generative AI and enterprise adoption patterns.


Required Skills/Abilities/Competencies:
  • Hands-on experience with Generative AI and LLM-based systems
  • Strong expertise in:
    • Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
    • Large Language Models (LLMs) and transformer-based architectures
    • Prompt engineering and RAG design patterns
  • Experience with GenAI orchestration frameworks (e.g., LangChain, LlamaIndex)
  • Proficiency in Python and TypeScript (and optionally Java/Scala)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and MLOps/LLMOps practices
  • Solid understanding of APIs, microservices, distributed systems, and data pipelines
  • Experience fine-tuning or training foundation models
  • Familiarity with multimodal AI (text, image, audio, video)
  • Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)
  • Background in consulting or client-facing environments
  • Knowledge of containerization and orchestration (Docker, Kubernetes)
  • Understanding of AI governance, regulatory considerations, and model risk management
  • Industry experience in sectors such as healthcare, financial services, or retail
  • Deep expertise in AI/ML and Generative AI technologies
  • Strong system architecture and design capabilities
  • Strategic thinking with the ability to align AI solutions to business outcomes
  • Excellent communication and stakeholder management skills
  • Leadership, mentoring, and cross-functional collaboration


Education and Experience:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • At least 7 years of experience in software engineering, data engineering, or AI/ML development.
  • At least 3 years of experience designing and deploying AI/ML architectures at scale.


Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
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.
  • Dice Id: 10351101
  • Position Id: 2576
  • Posted 22 hours ago
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