Job Description
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.