Lead AI Solutions Engineer: Cloud-Native Automation

Soni; Austin (TX); On-site; USD 130,000 - 145,000; Full time

Job summary

Soni in Austin, Texas is seeking a Lead AI Solutions Engineer to provide hands-on technical leadership in small, high-impact teams building AI-native platforms and intelligent automation solutions.

You will define architecture, development standards, and AI-driven delivery patterns while contributing directly to coding and solution design; the role emphasizes cloud-native design on AWS, secure integrations, and mentorship.

Qualifications

• Bachelor’s degree in CS/Engineering or equivalent practical experience.
• 6–10 years of software engineering experience with AI-enabled tools or AI-driven delivery practices.
• Experience providing technical leadership and architectural direction within engineering teams.
• Strong experience designing cloud-native systems, preferably on AWS.
• Experience building AI-powered applications, automation workflows, or intelligent interfaces.
• Expertise in API design, integrations, and distributed system architecture.
• Familiarity with CI/CD pipelines, DevOps practices, and AI-assisted development workflows.
• Knowledge of security and compliance standards in regulated environments (e.g., HIPAA, SOC 2).
• Strong communication and mentorship skills with the ability to guide technical decisions and collaborate with stakeholders.

Responsibilities

• Define AI-driven development pipelines that automate requirements, code generation, testing, security scanning, and deployment.
• Architect and deliver AI-native applications and intelligent interfaces that transform how users interact with complex business systems.
• Provide hands-on technical leadership, contributing to architecture, development, and code reviews while setting engineering standards for the team.
• Design and implement cloud-native solutions on AWS, leveraging managed services and serverless technologies.
• Lead the design of secure integrations between internal platforms and third-party SaaS systems.
• Establish security, compliance, and governance guardrails aligned with HIPAA, SOC 2, and insurance regulatory requirements.
• Mentor engineers and guide technical decision-making within the team.
• Collaborate with platform, DevOps, product, and security teams to ensure scalable, compliant solution delivery.
• Evaluate and adopt emerging AI tools, frameworks, and engineering practices to improve development velocity and system capability.

Skills

Technical leadership

Architectural direction

Cloud-native design

AI-enabled development

Mentorship

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Serverless

DevOps tooling

Job description

Soni in Austin, Texas is seeking a Lead AI Solutions Engineer to provide hands-on technical leadership in small, high-impact teams building AI-native platforms and intelligent automation solutions.

You will define architecture, development standards, and AI-driven delivery patterns while contributing directly to coding and solution design; the role emphasizes cloud-native design on AWS, secure integrations, and mentorship.