System Architect- Remote or Hybrid

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About the job

The IoT team is looking for a Systems Architect to define, design, and implement architectural approaches for IoT applications through consideration of business/market requirements, system quality attributes, and overall technical direction. Our team works on innovative technical and architectural approaches to drive the IoT product portfolio forward.

As a Systems Architect you will:

• Monitor and analyze technology industry trends on Generative AI, ML training frameworks, and other AI technologies, to evaluate design trade-offs to develop updated architectures, consistent with IoT Product strategy
• Plans evolutionary paths for functionality and architecture to enhance SAS IoT portfolio, incorporating dependent third-party architectural changes and new technology adoption, and develop proofs-of-concept to ensure feasibility and prevent implementation challenges.
• Collaborates with product managers, UX designers, other R&D architects/developers, quality assurance, and engineers on determining functional and non-functional requirements to ensure that newly developed features and adopted technologies adhere to a common architecture as necessary for them to work well together and form a cohesive product line.
• Maintains and organizes documentation about technical designs, with supporting justification for architectural and design choices, to be used as a reference for white papers and marketing assets.
• Conduct technical assessment of competitive and open-source offerings
• Support technical and architectural discussions with customers and partners
• Present technology enhancement and architectural innovation at SAS or 3rd Party events.

Role Competencies:

• Technology Savvy
• Decision Making
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.

Required qualifications

• 5 years of experience in R&D, technical pre-sales, consulting, or related technical function in the technology industry, preferably with a software vendor
• Bachelor's degree in a quantitative field, preferably in Computer Science or related field
• Proficiency with Python development and major AI related libraries, ML training frameworks such as PyTorch (preferred) or TensorFlow
• Experience with Generative Analytic toolset (LLMs such as Mistral or Llama 2, Langchain, OpenAI and Azure OpenaI API services)
• Ability to comprehend the details of complex system software and the implications of architectural changes and to summarize them in clear requirements.
• An equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Preferred qualifications

• Experience with Cloud architecture considerations
• Knowledge of containers and container orchestration technologies such as Docker and Kubernetes
• Knowledge of full-stack software development
• Ability to lead projects and adapt to changing priorities and deadlines with excellent communication and coordination skill

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Additional Information

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.

Job level will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

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