About Donato Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Dallas, TX, US
Year founded
2012
Job description
GenAI with Chatbot
Phoenix, Arizona
Job description Skills
We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.
Key Responsibilities:
Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies
Develop proof-of-concepts and prototypes to validate architectural decisions
Lead the integration of the chatbot with internal systems, databases, and APIs
Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives
Implement best practices for AI model deployment, monitoring, and continuous improvement
Provide technical leadership and mentorship to the development team
Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture
Required Qualifications:
10+ years of experience in software development, with a focus on AI and machine learning
Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo
Strong hands-on experience with Python, LLMs, and Generative AI technologies
Deep understanding of natural language processing, sentiment analysis, and text generation techniques
Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling
Experience with MLOps practices and tools for model lifecycle management
Strong problem-solving skills and ability to translate complex business requirements into technical solutions
Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders
Skills
PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Cognitive Services SECONDARY SKILL : Web Frameworks for Python (Flask & Django) SECONDARY SKILL PERCENTAGE : 40
donatotech.net
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Python Architect?
A: To succeed as a Python Architect, key technical skills include expertise in Python programming, proficiency in design patterns, and knowledge of software development methodologies such as Agile and DevOps. Additionally, soft skills like strong communication, problem-solving, and leadership abilities are crucial for effectively collaborating with cross-functional teams, managing complex projects, and driving technical strategy. By combining these technical and soft skills, a Python Architect can drive innovation, improve system efficiency, and contribute to the growth and success of their organization.
Q: What is the career path for a Python Architect?
A: A Python Architect's career path typically begins with entry-level roles such as Junior Python Developer or Python Engineer, where they focus on building and maintaining Python-based applications. As they gain experience, they progress to mid-level roles like Senior Python Developer or Technical Lead, where they oversee the design and implementation of complex Python systems, and then to senior roles like Python Architect or Technical Architect, where they lead the development of technical strategies and standards. Throughout their career, Python Architects have opportunities to develop skills in areas like cloud computing, DevOps, and machine learning, and may pursue long-term career directions such as technical leadership, product management, or entrepreneurship.
