Remote role Software Architect - Artificial Intelligence

Syntricate Technologies is seeking a Software Architect specializing in Artificial Intelligence. The role involves providing technical expertise for the evaluation and implementation of AI solutions, supporting state agencies in assessing AI use cases, and contributing to statewide AI strategies.

Responsibilities

• Support the development and implementation of AI strategies that align with the organization's goals and objectives
• Contribute to the AI review and approval process for use cases and vendors, ensuring they meet established compliance and operational requirements across the state
• Support and promote the adoption of standardized AI processes
• Support the State’s AI Center of Excellence by contributing technical expertise to the design of secure architectures, development of reusable technical patterns, use case development, prototyping, feasibility assessments, and responsible implementation of AI solutions
• Develop and maintain a high level of expertise in AI, positioning the Office of Information Technology Services as a leader

Preferred

• Background in a variety of programming languages and software development principles
• Familiarity with the foundations of Artificial Neural Networks (ANNs), Transformers, Natural Language Processing (NLP), image classification, and time-series data
• Experience with data tools and techniques for storing, retrieving, and cleaning data
• Programming languages
• Software development principles
• Artificial Neural Networks
• Transformers
• Natural Language Processing
• Image classification
• Time-series data
• Data tools
• Data retrieval
• Data cleaning

Benefits

• Work Location: Fully Remote with occasional onsite visits required.
• Duration of the Contract: 12 months
• Possibility for Extension: Yes
• Candidate MUST be a SC resident

Company

• Workforce, staffing, and technology solutions for public and private sectors.
• Boston, Massachusetts, USA
• https://www.syntricatetechnologies.com/
• Founded in 2004
• 51-200 employees

Qualifications

• 1 year of proven experience establishing proof-of-concept (POC) success criteria and evaluating AI solutions against defined criteria
• 2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms
• 2 years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions
• 1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation
• 1 year of experience defining AI use case success criteria, Key Performance Indicators (KPIs), and production monitoring measures
• 1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes
• 1 year of hands-on experience integrating AI capabilities with Azure and AWS
• Undergraduate degree in Computer Science, Data Science, Artificial Intelligence, or a related field required
• Strong communication and knowledge-transfer skills
• Advanced report writing ability
• Excellent written, verbal, and public speaking skills
• Experience working on complex projects
• Background in a variety of programming languages and software development principles
• Familiarity with the foundations of Artificial Neural Networks (ANNs), Transformers, Natural Language Processing (NLP), image classification, and time-series data
• Experience with data tools and techniques for storing, retrieving, and cleaning data
• 1 year of proven experience establishing proof-of-concept (POC) success criteria and evaluating AI solutions against defined criteria.
• 2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms.
• 2 years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions.
• 1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
• 1 year of experience defining AI use case success criteria, Key Performance Indicators (KPIs), and production monitoring measures.
• 1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
• 1 year of hands-on experience integrating AI capabilities with Azure and AWS.

Required skills

• AI agents design and implementation, AI integration with AWS, AI integration with Azure, AI production monitoring, AI use case success criteria definition, AI-assisted coding tools, ChatGPT, Dashboard building for AI metrics, Generative AI platforms, Key Performance Indicators (KPIs) for AI, Microsoft Copilot, Proof-of-concept (POC) evaluation, Report writing, Retrieval-Augmented Generation (RAG)

Experience

• 2+ years