Senior AI Solutions Engineer

Overview Architect, develop, and deploy software solutions at high velocity using an AI-first, agentic development workflow. This role demands a language-agnostic polyglot developer who leverages LLM-powered coding agents as a force multiplier to deliver 10x the output of traditional development approaches. Additional responsibilities include system integrations, BI solutions, and supporting Tech-Ops infrastructure on-premises and in-cloud. Responsibilities

AI-FIRST SOFTWARE DEVELOPMENT

Scope, design, develop, and deploy software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development methodology. Maintain and extend existing ERP customizations and develop new solutions across multiple languages and platforms, selecting the best tool for each task. Maintain and extend integration platform operations (e.g., Jitterbit) and CRM customizations (e.g., Salesforce APEX), leveraging AI-assisted coding for rapid iteration. Participate in review / recommendation of externally purchased IT solutions and services. Manage hardware and software vendor relationships Champion and evangelize AI-first development practices across the IT team; mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate team-wide adoption and output. Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute complex development and business automation tasks. Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures

BUSINESS ANALYSIS

Work closely with company managers to identify informational needs and develop solutions to provide efficient information processing and valuable information for business analysis Provide lifecycle support of applications and contribute to the development of new concepts, techniques, and standards Implement and manage long-term, system-wide IT initiatives that align with the company’s business strategy and objectives

HARDWARE AND PLATFORM SUPPORT

Recommend and participate in the deployment, monitoring, maintenance, development, upgrade and support of IT hardware and software including telecommunications, servers, PC’s, operating systems, and office automation equipment – both on premise and in-cloud PaaS & IaaS Benchmark, analyze, report on and make recommendations for improvement of and growth of IT infrastructure and IT systems Recommend efficient and cost-effective technological equipment, systems, platforms and services Identify problematic areas and implement strategic solutions in a timely manner Maintain confidentiality of proprietary information Stay current with rapidly evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools Qualifications Education and Experience: Position requires a Bachelor’s degree in computer science or related field and a minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment. Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as their primary development method. Must be a language polyglot comfortable architecting and delivering solutions across multiple technology stacks rather than being tied to a single language or framework. Required experience includes SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management. Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential. Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages expected; experience with Epicor, Jitterbit, and Salesforce preferred. Strong preference for candidates who have built custom LLM agent harnesses, orchestrated multi-agent swarms under a manager/supervisor agent pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows. Knowledge, Skills and Abilities: Proven expertise with agentic LLM coding tools and AI-assisted development workflows. Ability to work fluently across multiple programming languages and technology stacks without being dependent on any single ecosystem. Strong prompt engineering skills for code generation, debugging, and architectural planning. Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination patterns. Read, analyze, and interpret a variety of information, such as technical procedures, business correspondence, and governmental regulations furnished in written, oral or diagram form. Effectively present information to employees, management, and customers. Create business-level written correspondence and verbally present information to large or small groups, both internally and externally. Requires Microsoft Office proficiency and the ability to operate a variety of standard office equipment. Working Conditions/Physical Demands: Office environment, with occasional lifting and bending #J-18808-Ljbffr Bruno Independent Living Aids