Technical Architect - Artificial Intelligence (AI)

Overview

Hybrid
$80 - $85
Contract - Independent
Contract - W2
Contract - 18 Month(s)

Skills

Algorithms
Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Continuous Improvement
FOCUS
Good Clinical Practice
Google Cloud
Google Cloud Platform
IT Management
Java
Leadership
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Mentorship
Microsoft Azure
Natural Language
Natural Language Processing
Optimization
Privacy
Programming Languages

Job Details

Position : Technical Architect - Artificial Intelligence (AI)
Location : Auburn Hills, MI Hybrid
Duration : 18 + Months
Job Description :

We are seeking an experienced Senior Technical Architect with expertise in Artificial Intelligence (AI) and Machine Learning (ML), specializing in Google's suite of AI products. The ideal candidate will have a proven track record in designing and implementing advanced chatbot solutions that serve as intelligent agents, capable of providing information from company-approved data sources tailored to specific customer needs.

Key Responsibilities:

  • Lead the architecture and design of AI/ML solutions, with a primary focus on chatbot development using Google's AI products.
  • Develop sophisticated chatbots that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers.
  • Design and implement natural language processing (NLP) and natural language understanding (NLU) systems to enhance chatbot interactions.
  • Architect scalable and secure solutions for deploying AI models and chatbots in production environments.
  • Collaborate with data scientists, software engineers, and product managers to align AI solutions with business objectives and customer needs.
  • Evaluate and integrate various data sources, ensuring chatbots can access and utilize company-approved information effectively.
  • Implement personalization and context-aware features in chatbots to enhance user experience.
  • Develop strategies for continuous improvement of chatbot performance through machine learning and user feedback.
  • Ensure compliance with data privacy regulations and company policies in all AI/ML implementations.
  • Provide technical leadership and mentoring to the AI/ML development team.
  • Prior experience of tread reporting is mandatory

Prior experience of NHTSA is mandatory

REQUIRED SKILLS :

Artificial Intelligence, AWS, Azure, NLP, TensorFlow, Chatbot, Chatbots, Context-Aware, conversational AI, Data Privacy, Design, Intelligent Agents, Knowledge Graph, Machine Learning Algorithms, Optimization, Programming Languages, Reinforcement Learning Techniques, Semantic Web, Speech Recognition, Support, Text-To-Speech, User Experience, Google Cloud Platform (Google Cloud Platform), Leadership, Natural Language Processing, Natural Language Understanding, Production, User Feedback, Java, Python, Technical Architect - Artificial Intelligence

Qualifications:

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in AI/ML architecture, with at least 5 years focusing on chatbot development.
  • Extensive experience with Google's AI products, including but not limited to:
    • Google Cloud AI Platform
    • Dialogflow
    • Cloud Natural Language API
    • Cloud Translation API
    • TensorFlow
  • Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents.
  • Strong understanding of NLP, NLU, and machine learning algorithms.
  • Experience integrating chatbots with various data sources and APIs.
  • Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go).
  • Familiarity with cloud platforms, preferably Google Cloud Platform (Google Cloud Platform).
  • Knowledge of data privacy regulations and best practices for secure AI implementations."

Additional Qualifications:

  • Experience with other cloud platforms (AWS, Azure) and their AI services.
  • Familiarity with conversational AI design principles and user experience best practices.
  • Knowledge of MLOps practices and tools for managing AI/ML lifecycles.
  • Experience with speech recognition and text-to-speech technologies.
  • Understanding of knowledge graph technologies and semantic web concepts.
  • Familiarity with reinforcement learning techniques for chatbot optimization.
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.

About Kramers Consulting