Senior AI Software Engineer

VSG Business Solutions LLC; Austin (TX); Vor Ort; USD 170.000 - 210.000; Vollzeit

Zusammenfassung

VSG Business Solutions LLC seeks an experienced engineering leader to drive AI, automation, and rapid development initiatives. You will lead software and AI engineers, set architectural direction, and guide cloud-native delivery across business teams.

Responsibilities include establishing coding standards, overseeing CI/CD, and ensuring security/compliance. Strong collaboration with executives and stakeholders is essential for translating business needs into scalable technology solutions.

Qualifikationen

• 8+ years of software engineering experience.
• 3+ years leading technical teams or development programs.
• Experience with AI/ML technologies, generative AI, Azure AI services, Copilot technologies, or similar platforms.
• Experience with cloud-native application development.
• Strong understanding of software architecture, DevOps, CI/CD, and Agile practices.
• Ability to communicate effectively with executives, business stakeholders, and technical teams.

Aufgaben

• Lead and mentor a team of software engineers, AI engineers, and application developers.
• Design and oversee development of AI-enabled applications, copilots, workflows, and automation solutions.
• Establish software engineering standards, development practices, and code review processes.
• Provide technical leadership for cloud, data, AI, and application architecture decisions.
• Collaborate with business stakeholders to translate business needs into technology solutions.
• Oversee rapid application development initiatives using modern low-code, no-code, and traditional development platforms.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Ensure solutions meet security, privacy, accessibility, and governance requirements.
• Participate in software design, development, testing, and deployment activities as needed.
• Manage team workload, priorities, and professional development.

Kenntnisse

AI/ML technologies

Team leadership

Cloud-native apps

CI/CD & DevOps

Agile practices

Executive communication

Tools

Azure AI services

Copilot technologies

CI/CD tooling

Jobbeschreibung

Focus on candidates from commutable distance

Leads the design, development, and delivery of artificial intelligence, automation, and rapid application development solutions that support agency business objectives. Serves as both a people leader and hands‑on technical contributor, providing architectural guidance, software engineering expertise, and oversight of development teams. Establishes engineering standards, AI development practices, and solution delivery frameworks while collaborating with business partners to identify opportunities for innovation and operational improvement.

Responsibilities

• Lead and mentor a team of software engineers, AI engineers, and application developers.
• Design and oversee development of AI-enabled applications, copilots, workflows, and automation solutions.
• Establish software engineering standards, development practices, and code review processes.
• Provide technical leadership for cloud, data, AI, and application architecture decisions.
• Collaborate with business stakeholders to translate business needs into technology solutions.
• Oversee rapid application development initiatives using modern low-code, no-code, and traditional development platforms.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Ensure solutions meet security, privacy, accessibility, and governance requirements.
• Participate in software design, development, testing, and deployment activities as needed.
• Manage team workload, priorities, and professional development.

Minimum Skills Required

• 8+ years of software engineering experience.
• 3+ years leading technical teams or development programs.
• Experience with AI/ML technologies, generative AI, Azure AI services, Copilot technologies, or similar platforms.
• Experience with cloud-native application development.
• Strong understanding of software architecture, DevOps, CI/CD, and Agile practices.
• Ability to communicate effectively with executives, business stakeholders, and technical teams.