Lead AI Solutions Engineer

Overview

We are seeking a highly skilled Lead AI Solutions Engineer to design, develop, and deploy advanced AI-driven solutions that solve complex business challenges. This role combines deep technical expertise with leadership and stakeholder engagement to deliver scalable, production-ready systems.

The ideal candidate will bridge the gap between cutting-edge machine learning and real-world applications, working closely with cross-functional teams to translate requirements into impactful AI solutions.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML solutions from concept to production
• Architect scalable systems and ensure reliability, performance, and maintainability
• Collaborate with data scientists, engineers, and business stakeholders to identify and prioritize use cases
• Build and optimize machine learning models, including training, evaluation, and monitoring
• Develop proof-of-concept solutions and prototypes to demonstrate business value
• Define and implement best practices for AI development, MLOps, and deployment pipelines
• Translate complex technical concepts into clear business insights for non-technical audiences
• Mentor and guide junior engineers and contribute to team capability building
• Stay current with emerging AI technologies and incorporate relevant innovations into solutions
• Document architecture, workflows, and technical decisions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Strong experience in machine learning, deep learning, or applied AI
• Proficiency in programming languages such as Python or Java
• Hands-on experience with frameworks such as TensorFlow, PyTorch, or similar
• Experience designing and deploying production-grade AI systems
• Solid understanding of data engineering, APIs, and system integration
• Familiarity with cloud platforms and scalable infrastructure

Skills and Competencies

• Strong problem-solving and analytical thinking
• Excellent communication and stakeholder management skills
• Ability to balance technical depth with business impact
• Experience leading projects or mentoring team members
• Knowledge of MLOps, model lifecycle management, and deployment best practices

What Success Looks Like

• Delivery of high-impact AI solutions aligned with business objectives
• Scalable, reliable systems operating in production environments
• Effective collaboration across technical and non-technical teams
• Continuous improvement in model performance and system efficiency

Summary

This role is critical to delivering production-ready AI systems that create measurable value. It requires a blend of engineering excellence, strategic thinking, and leadership to ensure successful deployment and adoption of AI across the organization.