Senior AI Engineer, Applied AI Solutions

Job DescriptionPosition SummaryWe are pioneering a new AI development team dedicated to revolutionizing our agency's operations from the ground up. We are looking for an entrepreneurial and deeply technical AI Engineer to be a foundational member of this team.This role sits at the intersection of AI engineering and real world execution.As a Senior AI Engineer, you will design and build agentic systems that translate complex business workflows into automated, scalable solutions. You will work across multiple AI platforms, rapidly prototype solutions, and produce high-impact solutions that create enterprise-wide acceleration and efficiencies.This role requires strong engineering fundamentals, product thinking, and the ability to operate in ambiguity.Key ResponsibilitiesAgentic Solution Design & ArchitectureArchitect and deliver multi-step, tool-using agent systems that automate complex enterprise workflows end-to-endPartner with business leaders to identify high-friction processes, define requirements, and translate ambiguity into structured, scalable solutionsDecompose workflows into deterministic, automatable components and design agent architectures that drive enterprise-wide efficiency and reuseDevelop orchestration logic across APIs, data sources, and large language models, ensuring reliability, performance, and scalabilityDesign around platform constraints, leveraging creative engineering approaches to unlock capabilities rather than being limited by themEngineering Execution & Platform OrchestrationBuild and deploy production-grade systems, including RAG pipelines, tool integrations, and API-driven workflowsRapidly prototype across AI platforms (e.g., Google Gemini, Claude, Perplexity AI) to validate feasibility and inform platform strategySelect and integrate the optimal models, tools, and ecosystems based on use case requirements, not platform biasLead end-to-end development from zero-to-one prototypes through scaled, production-ready systemsEnsure solutions are extensible, modular, and designed for enterprise adoptionWorkflow Transformation & Stakeholder IntegrationWork directly with cross-functional stakeholders to map workflows, align on outcomes, and operationalize AI-driven transformationTranslate business needs into technical architectures that deliver measurable impact on efficiency, throughput, and quality regularly optimizing for future scaleCollaborate across product, design, data, and engineering teams to ensure solutions are usable, adopted, and outcome-drivenInnovation & Experimentation Operate at the forefront of the AI ecosystem, continuously evaluating emerging models, tools, and frameworksLead rapid experimentation cycles across LLMs, RAG architectures, and agentic systems, iterating based on performance and user feedbackChampion a culture of applied innovation, balancing speed, rigor, and scalabilityDrive the adoption of cutting-edge capabilities to maintain competitive advantage and unlock new enterprise valueQualifications & ExperienceRequired:Proven experience architecting and deploying end-to-end AI/ML systems in production environments, with clear ownership from problem definition through deliveryDeep hands-on expertise in Google Cloud Platform, including production use of Vertex AI (Pipelines, Search, Model APIs) and the Gemini model familyDemonstrated experience designing and building agentic AI systems, including multi-step, tool-using agents and complex RAG architectures; familiarity with frameworks such as LangChain, LlamaIndex, or similarStrong software engineering fundamentals, including:Python proficiency and modern backend development (APIs, microservices)Experience with containerization (Docker), orchestration (e.g., GKE), and CI/CD pipelinesExperience building LLM-powered applications that integrate with external tools, APIs, and enterprise data sourcesStrong systems thinking mindset, with the ability to design around platform constraints rather than be blocked by themDemonstrated ability to operate in fast-moving, ambiguous environments with a high degree of ownership and accountabilityNice to Have:Experience working across multiple AI platforms and systems (e.g., Gemini, Claude, Perplexity) and evaluating tradeoffs between themExperience integrating AI systems with enterprise tools and data platforms (e.g., Snowflake, BigQuery, SharePoint, Salesforce)Familiarity with enterprise security models, data access controls, and permission-aware system designBackground in client-facing, consulting, or cross-functional product environments#LI-KG1#LI-HYBRID#HMHorizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Salary Range$195,000.00 - $225,000.00A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.SummaryLocation: New York, New YorkType: Full time