Job Summary
We are seeking an experienced AI Engineer to design, develop, and maintain scalable, cloud-native applications and microservices using Java, Python, and Microsoft Azure. The ideal candidate will combine strong software engineering expertise with AI-powered development practices to improve software delivery, automation, developer productivity, and engineering efficiency.

Key Responsibilities
• Design, develop, and maintain scalable, cloud-native applications and microservices using Java, Python, and Microsoft Azure.
• Build secure RESTful APIs, distributed systems, and data-intensive solutions leveraging Azure Databricks, Apache Spark, and Delta Lake.
• Deliver production-ready software following Agile, DevOps, CI/CD, and cloud engineering best practices.
• Take end-to-end ownership of applications and services across design, development, deployment, monitoring, and production support.
• Leverage AI-powered development tools and engineering practices to accelerate software delivery, improve code quality, automate workflows, and enhance developer productivity.
• Develop reusable AI-driven solutions to streamline engineering processes and reduce manual effort.
• Identify and implement opportunities to improve engineering efficiency, automation, and software quality through AI adoption.
• Collaborate with business stakeholders, functional leaders, product owners, architects, and engineering teams to translate business requirements into scalable technology solutions.
• Stay current with emerging AI technologies and contribute to the adoption of responsible AI practices across the engineering organization.

Required Qualifications
• Strong hands-on experience with Java, Python, Microsoft Azure, Azure Databricks, and microservices architecture.
• Proven experience building and deploying scalable cloud-native enterprise applications.
• Deep understanding of modern SDLC, Agile delivery, DevOps, CI/CD, and software engineering best practices.
• Demonstrated ability to leverage AI tools and techniques to accelerate software delivery, improve code quality, automate engineering processes, enhance developer productivity, and drive innovation across the software lifecycle.
• Ability to work closely with business stakeholders, functional leaders, product owners, and technical teams to translate business requirements into scalable, value-driven technology solutions.
• Strong ownership mindset with the ability to drive solutions end-to-end, from requirements and design through deployment and production support.
• Excellent analytical, communication, stakeholder management, and problem-solving skills.

Notes:

Mandatory Areas

Must Have Skills - AI Engineer

Skill 1 - 8 + Years of exp in AI

Skill 2 - 3 + Years of Exp in Java, Python

Skill 3- 4+ Years API in Azure, Azure Databricks

Good To have Skills -

Skill 1 - Yrs of Exp -N/A

Skill 2 - Yrs of Exp -N/A

Skill 3 - Yrs of Exp -N/A

Skill 4 - Yrs of Exp -N/A

Mandatory if Applicable

Domain Experience (If any ) - N/A

Must have Certifications -N/A

Location - Plano, TX

Onsite Requirement - Y/N- Y

Number of days onsite - 3 Days

If Onsite - Office Address -