6-Software Engineer-Artificial Intelligence 4 - 6-Artificial Intelligence (70648-1) (Cambridge)

Client is seeking a broad range of experience levels including Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level Dev. This position is located in Cambridge, MA. Responsibilities Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools while considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality and reliability and to identify patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes the performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management processes for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves on‑production Artificial Intelligence models. Partners with cross‑functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s). Senior (Level 4) leads design, development, documentation and implementation of appropriate and best‑fit Artificial Intelligence algorithms and models using standard methods and tools while considering ethical implications and potential biases. Leads and helps junior engineers in accomplishing technical engineering activities. Familiar with automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution. Understands CI/CD practices and has experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) to automate and optimize workflows (a plus). Collaborates effectively with HIL teams to integrate software with hardware‑in‑the‑loop testing environments (a plus). Willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus. Experience in C, C++, Python, or modern coding languages. Familiarity with ADA or avionics software is a plus. Strong team player who enjoys collaboration and the quick‑paced startup/high‑tech culture. Excellent documentation and communication skills for effective collaboration with cross‑functional teams. Qualifications Bachelor's degree and typically 3 or more years of experience in a software engineering classification, or a Master's degree with 1 year of experience in a software engineering classification. Must be able to work onsite in Cambridge, MA. No relocation offered. Education or experience in AI Algorithms and/or use of AI Tools. Ability to obtain a U.S. Security Clearance if sponsored. Typical Senior (Level 4) education/experience acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g., Bachelor) and typically 5 or more years of related work experience or an equivalent combination of technical education and experience (e.g., PhD + 1 year of related work experience, Master + 3 years of related work experience). Remote badging will be required. Key Technical Skills Artificial Intelligence algorithms AI tools Data collection, cleaning, preprocessing, and analysis Software testing, debugging Training, evaluating, and optimizing AI models Safety Risk Management AI model deployment, monitoring Cross‑functional collaboration Emerging technologies research AI Design Practice Automated testing methodologies – Google Test, PyTest CI/CD practices – Jenkins, GitLab CI/CD Hardware‑in‑the‑loop testing AI frameworks – TensorFlow, PyTorch C, C++, Python ADA, avionics software Documentation, communication #J-18808-Ljbffr Systemart