Senior AI Engineer for Enterprise Platforms & Automation

Intellias; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Well-being benefits

Professional growth

Job summary

Intellias is actively seeking a Senior Engineer to design, build, and scale AI-enabled solutions that enhance software delivery efficiency. The role blends strong software fundamentals with AI-assisted development, automation, testing, and operational excellence.

You will collaborate with product, architecture, and platform teams to accelerate delivery, drive AI-DLC practices, and uplift quality across cloud-native applications.

Qualifications

• Bachelor's degree required in CS/Engineering or related field.
• 7+ years of software engineering experience.
• Hands-on experience developing AI-enabled applications.
• Strong cloud-native and DevSecOps expertise.
• AI governance, mentoring, and leadership experience a plus.

Responsibilities

• Build and maintain AI-powered engineering solutions.
• Develop and optimize prompts, agents, copilots, and automation workflows.
• Integrate LLM capabilities into enterprise applications.
• Apply AI across requirements, design, development, testing, and operations.
• Drive AI-assisted coding and testing practices.
• Support teams in adopting AI-native ways of working.
• Design and develop scalable cloud-native applications.
• Perform code and design reviews.
• Build CI/CD pipelines and automation.
• Monitor platform reliability and security.
• Evaluate emerging AI technologies and share best practices.
• Contribute to engineering standards and communities of practice.

Skills

Technical problem solving

AI innovation

Automation-first mindset

Collaboration

Communication

Ownership and accountability

Education

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

Tools

Cloud-native technologies

DevSecOps

Job description

Intellias is actively seeking a Senior Engineer to design, build, and scale AI-enabled solutions that enhance software delivery efficiency. The role blends strong software fundamentals with AI-assisted development, automation, testing, and operational excellence.

You will collaborate with product, architecture, and platform teams to accelerate delivery, drive AI-DLC practices, and uplift quality across cloud-native applications.