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Georgia IT Inc

Generative AI Architect - Remote

Allentown PA(Remote) Generative AI Architect The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company ...

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Remote Generative Ai Sales information

What is a Remote Generative AI Sales job?

A Remote Generative AI Sales job involves selling generative artificial intelligence solutions, such as AI-powered content creation tools or language models, to businesses or clients. Professionals in this role work from home or another remote location and are responsible for identifying potential customers, explaining the benefits of generative AI products, and closing sales deals. They need a good understanding of generative AI technologies, strong communication skills, and experience in sales. This role often requires collaborating with technical teams to ensure customer needs are met and keeping up with the latest AI trends to effectively pitch products.

What is the difference between Remote Generative Ai Sales vs Remote AI Sales?

AspectRemote Generative Ai SalesRemote AI Sales
Required CredentialsSales experience, knowledge of AI/Generative AISales experience, general AI knowledge
Work EnvironmentRemote, tech-focused companiesRemote, tech or software companies
Industry UsagePrimarily in AI and tech sectors developing Generative AI productsBroader AI industry, including various AI solutions

Remote Generative Ai Sales focuses on selling products related to Generative AI technologies, requiring specific AI knowledge. Remote AI Sales covers a wider range of AI solutions, with a broader industry application. Both roles are remote, but Generative AI Sales emphasizes specialized AI expertise and target markets.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Sales professional, and why are they important?

To thrive as a Remote Generative AI Sales professional, you need a solid understanding of AI concepts, proven sales experience, and a track record of meeting targets, often supported by a bachelor's degree in business, technology, or a related field. Familiarity with CRM tools like Salesforce, AI product platforms, and virtual communication systems is typically required. Excellent communication, relationship-building, and self-motivation are crucial soft skills for engaging clients and managing remote work. These competencies ensure you can effectively educate clients, close deals, and drive revenue in the fast-evolving AI market.

What are some common challenges faced by professionals in Remote Generative AI Sales, and how can they be addressed?

One of the main challenges in Remote Generative AI Sales is effectively communicating complex technical concepts to clients who may not have a deep technical background. Building trust and credibility remotely requires clear explanations, regular follow-ups, and tailored demonstrations that address specific client needs. Additionally, coordinating with technical teams and product experts across different time zones can be challenging, so strong organizational and communication skills are essential. Staying current with rapidly evolving AI advancements is also crucial for success in this role.
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Remote Generative Ai Sales jobs near you
Generative AI Architect - Remote

Generative AI Architect - Remote

Georgia IT Inc

Remote

Other

Posted 10 days ago

Job description

Position: Generative AI Architect
Location: Allentown PA(Remote)
Generative AI Architect
The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities
  • Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
  • Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.
  • Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
  • Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
  • Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
  • Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy.
  • Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
  • Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards.
  • Security: Ensure that generative AI systems comply with security protocols and data protection regulations.
  • Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team.

Qualifications
Education:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.
Experience:
  • Minimum of 5 years of experience in AI/ML architecture or a related role.
  • Proven experience in designing and deploying generative AI models and solutions.
  • Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
Technical Skills:
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of API development and integration.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Excellent problem-solving and analytical abilities.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

"MUST HAVE" Skills
  • Experienced and proven track record with analyzing GenAI requirements and proposing GenAI architecture solution that applies to use case and available data. Preferably using resources available in Azure.
  • Experience with data sources used for GenAI ingestion like Sharepoint Online, Azure Blob Storage, Snowflake, Databricks.
  • Experience with Microsoft 365 Copilot and Custom Copilots.
  • Must possess expertise in prompt engineering
  • Knowledge and experience with latest GenAI solutions, practices and standards,
  • Must possess strong communication skills to be able to convey the intricacies of current GenAI architecture solutions to different audiences.
  • Knowledge and experience with GenAI testing processes and implementation
  • Knowledge and experience with latest GenAI "responsible AI" tools and implementation.
  • A tactical AND strategic mindset to delivering GenAI solution architectures so they can be easily adapted as the technology evolves.
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About Georgia IT

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A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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