AI-Powered Workflow Engineering Lead

Sails Software Solutions; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Sails Software Inc is seeking a Workflow & AI Engineering Lead to drive development of AI-based workflow solutions. You will lead a team of engineers and data scientists to design, build, and maintain scalable AI-powered workflows that boost operational efficiency and align with strategic goals.

You will collaborate with cross-functional teams to identify automation opportunities, translate requirements into technical specifications, and ensure successful AI integration across systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience with AI and automation.
• Proven track record leading engineering teams and delivering projects.

Responsibilities

• Lead the design and implementation of AI-based workflows to improve efficiency.
• Mentor engineers and data scientists in AI development and workflow automation.
• Collaborate with stakeholders to translate business needs into technical requirements.
• Develop strategies for continuous improvement and scalable solutions.
• Monitor progress and ensure timely delivery within budget.

Skills

AI/ML engineering

Team leadership

Python/Java/C#

Cloud platforms (AWS/Azure/GC)

AI frameworks (TensorFlow, PyTorch)

Workflow automation (Camunda, Airflow)

Data engineering basics

Strong communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Camunda

Apache Airflow

TensorFlow

PyTorch

Scikit-learn

SQL/NoSQL databases

Job description

Sails Software Inc is seeking a Workflow & AI Engineering Lead to drive development of AI-based workflow solutions. You will lead a team of engineers and data scientists to design, build, and maintain scalable AI-powered workflows that boost operational efficiency and align with strategic goals.

You will collaborate with cross-functional teams to identify automation opportunities, translate requirements into technical specifications, and ensure successful AI integration across systems.