Solution Engineer

Matter + Energy is seeking a hands-on Solution Engineer to design and implement AI-powered solutions for enterprise clients. The role leads implementations from discovery and solution architecture through development, integration, testing, and deployment, while translating client business needs into practical, scalable solutions.

Responsibilities:

• Independently lead end-to-end AI solution implementations, from technical discovery and solution design through development, testing, deployment, and optimization
• Collaborate with clients to understand business challenges, identify AI opportunities, and translate requirements into technical solutions
• Design and develop AI-powered applications, intelligent workflows, and automation solutions using LLMs, generative AI, and related technologies
• Build and integrate AI agents, retrieval-augmented generation (RAG) systems, and knowledge-based applications
• Evaluate AI models, frameworks, and technology platforms based on performance, cost, scalability, security, and business requirements
• Develop proof-of-concept solutions and transition validated prototypes into production-ready implementations
• Develop backend services, APIs, and application components to support AI-powered solutions
• Integrate AI capabilities with enterprise applications, databases, document repositories, and existing business workflows
• Design and implement data ingestion, preprocessing, transformation, and retrieval pipelines
• Develop and optimize prompt engineering strategies, tool integrations, and AI orchestration workflows
• Implement testing and evaluation processes to assess model outputs, accuracy, reliability, and overall solution performance
• Troubleshoot complex technical issues, optimize system performance, and ensure solution maintainability
• Apply appropriate security, access control, data privacy, and responsible AI practices throughout the implementation lifecycle
• Lead technical discovery sessions and solution design discussions with client stakeholders
• Assess client technology environments, data readiness, integration requirements, and implementation constraints
• Translate business requirements into solution architectures, technical specifications, and implementation plans
• Serve as the primary technical point of contact throughout the implementation lifecycle
• Communicate technical concepts, architectural decisions, risks, and recommendations to both technical and nontechnical audiences
• Independently manage technical deliverables, proactively identify risks, and resolve implementation challenges
• Collaborate with project managers, consultants, and client teams to ensure successful delivery
• Establish and apply best practices for AI solution development, testing, deployment, and monitoring
• Evaluate AI solution quality, including accuracy, reliability, latency, cost, and security
• Monitor and improve deployed AI applications based on performance metrics and user feedback
• Develop reusable technical components, implementation templates, and engineering best practices
• Stay current with emerging AI technologies, frameworks, and industry developments
• Contribute technical expertise to solution demonstrations, proof-of-concept engagements, and presales activities