What are the responsibilities and job description for the AI Architect II position at CentralSquare Technologies?
CentralSquare is a unique enterprise software company whose mission is to build safer, smarter, more connected communities. More than 8,000 public sector agencies trust CentralSquare solutions each and every day. We serve governments of all sizes, from small towns to major cities, to make delivering public services less costly and more efficient.
Job Description: AI Architect II
Position Overview: We are seeking an experienced AI Architect II who brings deep technical expertise in artificial intelligence beyond just LLMs. This role will contribute to the design and implementation of advanced AI systems and play a key part in shaping AI solutions across platforms.
Key Responsibilities
Qualifications
Job Description: AI Architect II
Position Overview: We are seeking an experienced AI Architect II who brings deep technical expertise in artificial intelligence beyond just LLMs. This role will contribute to the design and implementation of advanced AI systems and play a key part in shaping AI solutions across platforms.
Key Responsibilities
- Design, architect, and implement scalable AI systems.
- Work with a variety of AI models, including but not limited to LLMs.
- Lead development of APIs and services integrating cloud-based AI solutions.
- Collaborate with cross-functional teams and potentially engage in client-facing discussions.
- Contribute to project planning, agile workflows, and deliverables.
- Mentor junior engineers and support technical best practices.
Qualifications
- Master’s degree in Computer Science or related field (preferred).
- 2 years of professional experience building AI-related technology.
- In-depth understanding of AI architecture, model deployment, fine-tuning, embedding, and inference.
- Strong experience with cloud-based AI services (AWS SageMaker, Bedrock, Comprehend, or equivalents).
- Modern web stack development experience (React, Node.js, Python, etc.).
- Experience with AI/ML libraries and frameworks (Llama, Hugging Face, LangChain, TensorFlow, PyTorch).
- Experience in client-facing roles and ability to communicate complex technical topics.
- Background in project management or working in agile development teams.
- Strong leadership, mentorship, and collaboration skills.
- Continuous learning mindset and ability to stay ahead of AI industry trends.
- Ability to thrive in a fully remote work setting
