Allentown PA(Remote) Generative AI Architect The Generative AI Architect will be responsible for ... A tactical AND strategic mindset to delivering GenAI solution architectures so they can be easily ...
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Remote Tactical Solutions information
See salary details
$35K - $40.3K
1% of jobs
$40.3K - $45.5K
0% of jobs
$45.5K - $50.8K
0% of jobs
$50.8K - $56.1K
3% of jobs
$56.1K - $61.4K
2% of jobs
$61.4K - $66.6K
0% of jobs
$66.6K - $71.9K
0% of jobs
$71.9K - $77.2K
15% of jobs
$77.8K is the 25th percentile. Wages below this are outliers.
$77.2K - $82.5K
38% of jobs
$85.4K is the 75th percentile. Wages above this are outliers.
$82.5K - $87.7K
30% of jobs
$87.7K - $93K
11% of jobs
$35K
$80.5K
$93K
How much do remote tactical solutions jobs pay per year?
What is the difference between Remote Tactical Solutions vs Remote Operations Specialist?
| Aspect | Remote Tactical Solutions | Remote Operations Specialist |
|---|---|---|
| Credentials | Relevant certifications, tactical training | Operational management certifications |
| Work Environment | Remote, tactical or strategic roles | Remote, process and workflow focus |
| Industry Usage | Security, defense, logistics | Business operations, logistics, admin |
| Search Intent | Roles involving tactical planning and remote execution | Roles managing remote operational processes |
Remote Tactical Solutions typically involves tactical planning and remote execution in security or logistics sectors, requiring specialized certifications. Remote Operations Specialists focus on managing remote workflows and processes across various industries. While both roles are remote and involve operational tasks, Tactical Solutions emphasizes tactical planning, whereas Operations Specialists concentrate on streamlining operations remotely.

Job description
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.
- 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.
- 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.
- 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.
About Georgia IT
Sourced by ZipRecruiter
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