Lead AI Solutions Architect

1 week ago

Reston, Virginia, United States Matter and Energy, LLC Full time
Job Overview

We are in search of a skilled Lead AI Solutions Architect to spearhead the design and strategic planning phases for various initiatives focused on enhancing advanced machine learning and optimization software, making it more user-friendly and commercially viable. This role is essential in crafting the theoretical frameworks that will inform the future development of intuitive interfaces, cloud deployment methodologies, and commercial support systems across diverse projects. This position requires the candidate to be a U.S. citizen or a Legal Permanent Resident (LPR).

Key Responsibilities:
  • Generate thorough conceptual design documents, which include interface prototypes and API architecture schematics for multiple initiatives.
  • Formulate detailed cloud deployment strategies, evaluating major platforms (AWS, Azure, GCP) and specifying necessary adjustments for each initiative.
  • Devise user experience (UX) research plans to uncover user needs and challenges across various software solutions.
  • Compile technical feasibility assessments that evaluate existing architectures and potential simplification hurdles for different initiatives.
  • Recommend commercial support frameworks, including team configurations and training program outlines tailored to various software solutions.
  • Conduct market research and formulate adoption strategies for target sectors relevant to each initiative.
  • Execute risk evaluations and develop mitigation strategies for identified technical, operational, and market risks across multiple initiatives.
  • Estimate resource needs, including timelines, budgets, and required skill sets for various initiatives.
  • Enhance project scalability and performance based on proposed optimizations for different software solutions.
  • Develop phased roadmaps for future enhancements and feature rollouts for each initiative.
Additional Responsibilities:
  • Perform relevant duties as required by specific initiatives.
Qualifications:
  • Master's or Ph.D. in Computer Science, Software Engineering, or a related discipline.
  • In-depth knowledge of hyperparameter optimization and automated machine learning methodologies.
  • Robust background in cloud computing architectures and deployment strategies.
  • Experience in user interface design and API development for complex software systems.
  • Proficient in SQL, Python, and data pipeline tools (e.g., Apache Kafka, Airflow, Spark).
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
  • Understanding of data modeling, ETL processes, and database architecture.
  • Proven capability to translate technical concepts into user-friendly solutions.
  • Exceptional analytical and problem-solving abilities.
  • Familiarity with high-performance computing environments is advantageous.

This role presents a unique opportunity to influence the future of advanced AI and machine learning tools, making them more accessible to a wider audience across various sectors. The successful candidate will play a critical role in bridging the gap between cutting-edge research and practical industrial applications, fostering innovation and adoption in the realm of AI and machine learning optimization.

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