layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior AI Engineer, Applied AI Solutions at Horizon Media | LAYIQ

Agentic Solution Design & Architecture
Architect and deliver multi-step, tool-using agent systems that automate complex enterprise workflows end-to-end
Partner with business leaders to identify high-friction processes, define requirements, and translate ambiguity into structured, scalable solutions
Decompose workflows into deterministic, automatable components and design agent architectures that drive enterprise-wide efficiency and reuse
Develop orchestration logic across APIs, data sources, and large language models, ensuring reliability, performance, and scalability
Design around platform constraints, leveraging creative engineering approaches to unlock capabilities rather than being limited by them
Engineering Execution & Platform Orchestration
Build and deploy production-grade systems, including RAG pipelines, tool integrations, and API-driven workflows
Rapidly prototype across AI platforms (e.g., Google Gemini, Claude, Perplexity AI) to validate feasibility and inform platform strategy
Select and integrate the optimal models, tools, and ecosystems based on use case requirements, not platform bias
Lead end-to-end development from zero-to-one prototypes through scaled, production-ready systems
Ensure solutions are extensible, modular, and designed for enterprise adoption
Workflow Transformation & Stakeholder Integration
Work directly with cross-functional stakeholders to map workflows, align on outcomes, and operationalize AI-driven transformation
Translate business needs into technical architectures that deliver measurable impact on efficiency, throughput, and quality regularly optimizing for future scale
Collaborate across product, design, data, and engineering teams to ensure solutions are usable, adopted, and outcome-driven
Innovation & Experimentation
Operate at the forefront of the AI ecosystem, continuously evaluating emerging models, tools, and frameworks
Lead rapid experimentation cycles across LLMs, RAG architectures, and agentic systems, iterating based on performance and user feedback
Champion a culture of applied innovation, balancing speed, rigor, and scalability
Drive the adoption of cutting-edge capabilities to maintain competitive advantage and unlock new enterprise value

Senior AI Engineer, Applied AI Solutions

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