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Jobs or company...
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GenAIArchitect

  • Full Time, onsite
  • TMV Global, Inc.
  • Hybrid(Hybrid Mode - 2 to 3 Days in a week to office), United States of America
Salary undisclosed

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Dice
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Simplified

Job Title: GenAI Architect

Location: Washington, D.C. (Hybrid)

Job Type: Full-Time

Experience Required: 15-20 years in IT, with a focus on GenAI and Automation (2-4 years)

Job Overview:

We are seeking an experienced GenAI Architect to join our innovative team. The ideal candidate will have a deep understanding of AI technologies, particularly Generative AI, and a strong background in IT infrastructure, cloud computing, and automation. The GenAI Architect will be responsible for designing, implementing, and overseeing GenAI solutions, cloud platforms.

Key Responsibilities:

Solution Design and Architecture:

  • Design and architect GenAI solutions that integrate seamlessly with existing IT infrastructure.
  • Develop scalable, robust, and secure AI models and frameworks.
  • Ensure solutions align with business objectives and regulatory requirements.

Implementation and Deployment:

  • Lead the development and deployment of GenAI applications.
  • Collaborate with cross-functional teams to ensure smooth integration and implementation.
  • Oversee the lifecycle of AI projects from conception to deployment.

Strategy and Planning:

  • Define and drive the AI strategy and roadmap in alignment with company goals.
  • Identify and evaluate emerging AI technologies and trends.
  • Provide strategic guidance on AI-related investments and initiatives.

Team Leadership and Mentoring:

  • Lead and mentor a team of AI engineers and data scientists.
  • Foster a culture of innovation and continuous learning within the team.
  • Conduct performance reviews and provide feedback to team members.

Collaboration and Communication:

  • Act as a liaison between technical teams and business stakeholders.
  • Communicate complex AI concepts and solutions to non-technical audiences.
  • Build and maintain relationships with clients, partners, and vendors.

Continuous Improvement:

  • Monitor and optimize the performance of AI models and systems.
  • Implement best practices for AI development, testing, and deployment.
  • Stay updated with the latest advancements in AI and related fields.

Required Qualifications:

  • Education: Master s degree in computer science, Engineering, or a related field.
  • Experience: 15-20 years of experience in IT, with at least 5 years focused on AI and Machine Learning and 2 years on GenAI.

Technical Skills:

  • Proficiency in programming languages such as Python, R, Java, and C++.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Keras).
  • Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and on-premises solutions.
  • Knowledge of data processing and storage technologies (e.g., Hadoop, Spark, SQL, NoSQL databases).
  • Familiarity with DevOps practices and CI/CD pipelines.

Expertise in Generative AI technologies, such as:

  • Generative Adversarial Networks (GANs): Experience designing and implementing GANs for various applications.
  • Transformers and Attention Mechanisms: Proficiency with models like GPT, BERT, T5, and their application in natural language processing and generation.
  • Autoencoders and Variational Autoencoders (VAEs): Knowledge of their use in image and data generation.
  • Diffusion Models and DALL-E: Experience in image synthesis and creative AI solutions.

Natural Language Processing (NLP):

  • Proficiency in sentiment analysis, language translation, and text summarization.
  • Experience with conversational AI and chatbot development.

Computer Vision:

  • Experience with image and video processing, object detection, and image generation.

Reinforcement Learning:

  • Knowledge of reinforcement learning techniques and their application in AI systems.

Soft Skills:

  • Excellent problem-solving and analytical skills.
  • Strong leadership and project management abilities.
  • Effective communication and presentation skills.
  • Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

  • Experience with GenAI technologies, such as GPT, DALL-E, and other advanced AI models.
  • Certifications in AI, cloud computing, or related areas.
  • Experience in the healthcare, finance, or manufacturing sectors.
  • Knowledge of data privacy laws and regulations (e.g., GDPR, CCPA).
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.
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