Engineer IV - Applied AI

PODS is a company focused on delivering innovative solutions, and they are seeking an Engineer IV specialized in Applied AI. This role involves designing and implementing AI-powered solutions to enhance business processes and operational efficiencies, while collaborating with various stakeholders to translate business needs into technical solutions.

Responsibilities:

• Design, develop, implement, and support AI-powered applications and services utilizing large language models (LLMs), agentic workflows, prompt engineering techniques, APIs, and retrieval-augmented generation (RAG) architectures
• Evaluate business requirements and translate complex or ambiguous business problems into scalable technical solutions
• Research, evaluate, prototype, and recommend AI technologies, tools, platforms, and vendors to support business objectives
• Design and develop conversational AI solutions, chatbots, virtual assistants, and intelligent workflow automation capabilities
• Develop and maintain integrations between AI solutions, enterprise applications, APIs, databases, and cloud data platforms
• Query, transform, structure, and manage data to support AI and machine learning solutions utilizing platforms such as Snowflake and related technologies
• Develop and maintain retrieval pipelines, semantic search capabilities, vector databases, and data services supporting AI-enabled solutions
• Ensure data quality, security, governance, and performance requirements are met within assigned solutions
• Deploy, monitor, maintain, and optimize AI solutions in production environments
• Monitor application performance, reliability, utilization, and operating costs and implement improvements as appropriate
• Troubleshoot application, integration, and data issues and provide timely resolution to support business operations
• Create and maintain technical documentation, solution architecture diagrams, standards, and support materials
• Partner with business stakeholders, product teams, and technology teams to identify opportunities for AI adoption and process automation
• Provide technical leadership and subject matter expertise related to applied AI technologies and emerging industry trends
• Support pilot programs, proofs of concept, and innovation initiatives that advance organizational capabilities
• Promote adoption of AI-enabled solutions through training, knowledge transfer, and stakeholder engagement
• Stay current with developments in artificial intelligence, machine learning, software engineering, and data technologies
• Continuously evaluate solution effectiveness and recommend enhancements to improve business value, quality, scalability, reliability, and user experience
• Participate in architecture reviews, code reviews, and development best practices to ensure high-quality solution delivery