
AI Solutions Engineer
Baker Tilly3 months ago
Remote, United States +2 moreSenior
Base Salary
$124k - $235k/yr
Responsibilities
- Scope, design, and build applications and infrastructure-related components for application hosting solutions.
- Develop intelligent autonomous agentic solutions and integrate them with enterprise systems.
- Develop utilities, tools, data fixes, and Sage Intacct page-level customizations for implementations and internal initiatives.
- Build AI agents on MCP servers using Amazon Bedrock Agent Core and integrate with LLM provider APIs.
- Optimize AI solutions for token efficiency and performance.
- Integrate data between systems using APIs.
- Communicate with internal staff, external development vendors, and customer development teams.
- Participate in professional development and support the growth of team members.
Requirements
- Bachelor’s degree or higher in Computer Science, Information Technology, or a related field.
- At least five years of experience developing applications in a cloud-based environment, specifically AWS.
- Significant hands-on experience designing and developing AI or agent-based solutions, including agents on MCP servers using Amazon Bedrock Agent Core and LLM provider APIs.
- Experience optimizing AI solutions for token efficiency and performance and integrating data through APIs.
- Hands-on experience with AI development tools such as Cursor, Windsurf, and Claude Code.
- Strong understanding of AWS architecture, services, containers, serverless architecture, security, and networking.
- Experience with Python and JavaScript; PHP, NodeJS, and React are bonus technologies.
- Experience with RDBMS and NoSQL databases is desired.
- Strong analytical, technical, problem-solving, communication, collaboration, and time-management skills.
- Ability to work in the United States without sponsorship.
Benefits
- Flexible work arrangements, with work location requirements discussed with the talent acquisition professional.
- Professional development through individual learning and firm-wide learning and development programs.
- Friendships, social activities, and team outings supporting work-life balance.
- Comprehensive compensation and benefits package for eligible employees.
Tech Stack
Categories
AI ApplicationsSolutions Engineering