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Technical Architect for IoT and AI Solutions

2 months ago

London, Greater London, United Kingdom SAS Full time

About the Role

The IoT team at SAS is seeking a highly skilled Systems Architect to define, design, and implement architectural approaches for IoT applications. As a key member of our team, you will work on innovative technical and architectural approaches to drive the IoT product portfolio forward.

Key Responsibilities

  • Monitor and analyze technology industry trends on Generative AI, ML training frameworks, and other AI technologies to evaluate design trade-offs and develop updated architectures consistent with IoT Product strategy.
  • Plan 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.
  • Collaborate 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.
  • Maintain and organize 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.
  • Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.

Requirements

  • 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.
  • Excellent written and verbal communication in English.
  • An equivalent combination of related education, training and experience may be considered in place of the above qualifications.
  • Right to work in posted countries.

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.

About SAS

At SAS, we believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it's essential to who we are. To put it plainly: you are welcome here.