Developer II

Textron is a renowned global multi-industry company with a diverse portfolio spanning aerospace and defense, specialized vehicles, turf care, and fuel systems. Our brand lineup includes leading names like Bell, Cessna, Beechcraft, E-Z-GO, Lycoming Engines and many others. With a strong worldwide presence and a workforce of 34,000 individuals across 25 countries, we prioritize attracting top talent.

The IT Custom Developer II is a key technical role responsible for designing, developing, testing, and deploying both custom solutions and GenAI solutions. This position supports innovative technology projects that drive business outcomes, collaborating closely with business stakeholders, IT analysts, data engineers, and cross‑functional teams. The role requires hands‑on experience with a variety of programming languages and machine learning technologies as well as a strong foundation in software engineering and data science principles.

This is ideal for professionals with a passion for technology, analytical problem‑solving, and continuous learning.

• Design, develop, test, and support custom software applications and GenAI solutions based on business requirements and technical specifications.
• Contribute to the design and implementation of GenAI‑enabled applications and services, including prompt orchestration, API integration, and solution configuration aligned to business needs.
• Support the architectural design of scalable, secure, and maintainable custom applications and AI‑powered solutions, ensuring alignment with enterprise standards and integration patterns.
• Collaborate with data engineers, analysts, and business stakeholders to integrate data, services, and workflows into custom applications and GenAI solutions.
• Support the deployment, release, and operational readiness of applications and AI solutions into production environments using Dev Ops and software engineering best practices.
• Monitor application and solution performance, identify opportunities for optimization, and troubleshoot issues across components, integrations, and user experiences.
• Participate in the development and execution of test cases, quality assurance processes, and bug fixing for both custom software and AI solutions.
• Utilize version control systems (e.g., Git) to manage code changes and collaborate effectively with other developers.
• Prepare and maintain technical documentation, including code comments, solution designs, user guides, process flows, and support documentation for custom applications and AI solutions.
• Collaborate with IT team members, business analysts, and end users to gather requirements, understand workflows, and deliver tailored solutions.
• Stay current with emerging technologies, programming languages, AI research, and development best practices.
• Participate in code reviews, sprint planning, and team meetings.
• Maintain awareness of project timelines, deliverables, and priorities as assigned by supervisors or project managers.

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Information Technology, Software Engineering, or a related field (or equivalent practical experience).
• 3+ years of experience in custom application development, software engineering, AI/ML engineering, or a related technical field.
• Experience with AI/ML libraries such as Num Py, pandas, scikit‑learn, Tensor Flow, or PyTorch.
• Understanding of cloud‑native architecture and AI/MLOps practices, especially in Azure; basic understanding of other cloud platforms (AWS, GCP) and containerization (Kubernetes) is a plus.
• Basic understanding of database structures and ability to write simple SQL queries.
• Experience with data preprocessing, feature engineering, and exploratory data analysis.
• Familiarity with version control systems (e.g., Git).
• Ability to work effectively in a fast‑paced, team‑oriented, collaborative environment with competing and alternating priorities.
• Strong analytical and problem‑solving skills.
• Excellent written and verbal communication skills.
• Willingness to learn and adapt to new technologies and processes.
• Prior internship or project…