Principal Software Engineer – Artificial Intelligence and Emerging Technologies – Enterprise Technology

Principal Software Engineer – Artificial Intelligence and Emerging Technologies – Enterprise Technology

Requirements

• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
• Deep understanding of software development.
• Extensive AI expertise.
• Broad range of technical capabilities.
• Proficiency in programming languages such as Java, Python, and JavaScript.
• Deep understanding of AI/ML models, algorithms, and frameworks such as TensorFlow, PyTorch, or similar.
• Experience with full-stack development and modern web frameworks such as Angular or React.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with integrating AI solutions into large-scale software systems and infrastructure.
• Proficient in utilizing and integrating RESTful APIs, GraphQL, and message queues.
• Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.
• Excellent communication skills, capable of conveying complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated experience with CI/CD practices, automated testing, and DevOps.
• Experience deploying cloud native solutions to AWS, Azure, or GCP.
• Strong understanding of Git, Docker, and Kubernetes.
• Familiarity with software version control systems such as Git.
• Strong project management skills, with the ability to lead multiple projects simultaneously.

Responsibilities

• Lead AI and emerging technology projects, setting technical direction and driving the execution of AI-based solutions.
• Manage and mentor software development team providing technical guidance, performance feedback, and fostering a collaborative and innovative work environment to achieve project goals and objectives.
• Develop and implement advanced AI models and machine learning algorithms to address complex challenges.
• Ensure seamless integration of AI components with existing software systems and infrastructure.
• Collaborate with cross-functional teams to identify opportunities where AI can enhance operational efficiency and innovation.
• Oversee the end-to-end development lifecycle of AI applications, including data preprocessing, model training, and deployment.
• Conduct rigorous performance testing and fine-tuning of AI models (when necessary) to ensure robustness and scalability.
• Stay abreast of the latest advancements in AI and emerging technologies and recommend their adoption as appropriate.
• Develop and enforce coding standards, best practices, and methodologies for AI projects.
• Foster a culture of continuous learning and improvement within the AI development team.
• Guide the team in the selection and use of appropriate AI tools, frameworks, and libraries.
• Collaborate with data scientists and analysts to derive insights and drive data-driven decision making.
• Innovate proactively by proposing new ideas and solutions that leverage AI to solve business problems.
• Address and solve system integration challenges associated with AI deployments.
• Provide thought leadership on AI strategy and roadmap planning within the organization.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 10+ years of professional software development experience, with a significant focus on AI and machine learning in production environments.
• Proven experience leading and managing software development teams.
• Expertise in programming languages such as Java, Python, and JavaScript.
• Deep understanding of AI/ML models, algorithms, and frameworks such as TensorFlow, PyTorch, or similar.
• Experience with full-stack development and modern web frameworks such as Angular or React.
• Experience with integrating AI solutions into large-scale software systems and infrastructure.
• Proficient in utilizing and integrating RESTful APIs, GraphQL, and message queues.
• Demonstrated experience with CI/CD practices, automated testing, and DevOps.
• Experience deploying cloud native solutions to AWS, Azure, or GCP.
• Strong project management skills, with the ability to lead multiple projects simultaneously.