Lead Solutions Engineer (AI)

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

Job summary

Soni is seeking a Lead AI Solutions Engineer to provide hands-on technical leadership within 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.

In this role, you will design cloud-native AWS solutions, mentor engineers, set engineering guardrails for HIPAA and SOC 2, and collaborate with platform, DevOps, product,

Qualifications

• Bachelor’s degree in CS/Engineering/IT or equivalent.
• 6–10 years of software engineering experience, with AI-enabled delivery.
• Proven experience providing technical leadership and architectural direction.
• Strong cloud-native design experience, preferably AWS.
• Experience building AI-powered applications, automation, or intelligent interfaces.
• Expertise in API design, integrations, and distributed systems.
• Familiarity with CI/CD, DevOps, and AI-assisted workflows.
• Knowledge of HIPAA, SOC 2 security/compliance.
• Strong communication and mentoring skills.

Responsibilities

• Define AI-driven development pipelines automating requirements, code generation, testing, security scanning, and deployment.
• Architect AI-native applications and intelligent interfaces for complex business systems.
• Provide hands-on technical leadership, code reviews, and engineering standard setting.
• Design and implement cloud-native AWS solutions.
• Lead secure integrations with third-party SaaS systems.
• Establish HIPAA, SOC 2, and regulatory guardrails.
• Mentor engineers and guide technical decisions.
• Collaborate with platform, DevOps, product, and security teams for scalable delivery.
• Evaluate and adopt emerging AI tools and practices to boost velocity.

Skills

Software engineering

AI-enabled tools

Technical leadership

Architectural direction

Cloud-native AWS

API design

CI/CD / DevOps

Security & compliance

Mentorship

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

Job description

A growing organization in the insurance and financial services sector is seeking a Lead AI Solutions Engineer to provide hands-on technical leadership within small, high-impact engineering teams building AI-native platforms and intelligent automation solutions. The Lead AI Solutions Engineer serves as the technical authority for the team, defining architecture, development standards, and AI-driven delivery patterns while contributing directly to coding and solution design.

Key Responsibilities

• Define and evolve 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.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).
• 6–10 years of software engineering experience, including recent work with AI-enabled development tools or AI-driven delivery practices.
• Demonstrated 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.

Compensation: $130,000-145,000

Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.