AI Solutions Engineer

Key Responsibilities

Solution Development & Delivery

• Design, develop, test, deploy, and maintain AI-powered applications, intelligent agents, automation workflows, and data solutions.
• Transform business concepts, requirements, and process improvement initiatives into production-ready technology solutions.
• Deliver projects on a consistent and predictable timeline while maintaining high quality standards.
• Continuously improve existing applications and systems based on user feedback and evolving business needs.

Systems Integration & Architecture

• Build and maintain integrations across cloud platforms, databases, business applications, APIs, and knowledge management systems.
• Design scalable, maintainable, and secure software architectures that support future growth.
• Recommend appropriate technologies, frameworks, and development approaches based on business requirements and technical best practices.

AI, Automation & Data Management

• Develop workflows that capture, organize, process, and analyze structured and unstructured business data.
• Leverage large language models (LLMs), AI agents, and automation tools to improve productivity and operational efficiency.
• Identify opportunities to streamline workflows and eliminate manual processes through automation and intelligent tooling.

Operational Excellence

• Establish and maintain development standards for source control, testing, documentation, deployment, monitoring, and support.
• Implement application monitoring, logging, alerting, and performance tracking to ensure reliability and uptime.
• Maintain secure, well-documented, and supportable codebases that can be easily managed and enhanced over time.
• Create technical documentation and user-focused training materials to support adoption and long-term sustainability.

Stakeholder Collaboration

• Partner with project managers, estimators, field teams, and operational leaders to understand business challenges and opportunities.
• Gather requirements, prioritize enhancements, and provide technical guidance on solution design and implementation.
• Stay informed on emerging technologies and AI advancements and recommend opportunities for adoption where appropriate.

What Success Looks Like

• AI and automation initiatives are successfully deployed into production on a regular basis.
• Applications are reliable, secure, and well-monitored with minimal downtime.
• Technical solutions adhere to architecture, security, and development standards.
• Users across the organization actively adopt and benefit from deployed tools.
• Solutions deliver measurable business value through increased efficiency, reduced manual effort, improved accuracy,