Solutions Engineer
Listed on 2026-03-11
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IT/Tech
Data Engineer, AI Engineer
Overview
Job Title: Solutions Engineer
Department: Corporate Information Technology
Reporting To: Vice President, Data & Commercialization
Employment Type: Full Time
Location: New York or Philadelphia - Hybrid
Salary: The anticipated starting salary range for individuals expressing interest in this position is $/Yr. Salary to be determined by the education, experience, knowledge, skills, abilities and location of the applicant, as well as internal and external equity.
Audacy offers employees who are eligible for benefits with a comprehensive benefits package which includes: a health care coordinator, medical, dental, vision, mental health, telemedicine, flexible spending accounts, health savings account, disability, life insurance, critical illness, hospital indemnity, accident insurance, paid time off (sick, flex-time away/vacation days, personal, parental, volunteer), 401(k) retirement plan, legal assistance, life assistance program, identity theft protection, discounted home and auto insurance, and pet insurance.
ResponsibilitiesWhat You’ll Do:
- Platform Engineering & Cloud Architecture (60%): Architect, build, and maintain secure, scalable cloud infrastructure (GCP/AWS). Coordinate with Platform Engineering and Dev Ops to establish secure deployment routes, manage infrastructure as code (IaC), and oversee CI/CD pipelines.
- Data Architecture & Movement: Design and manage data integrations, robust ETL pipelines, and No
SQL/SQL database schemas (e.g., Firestore, Big Query) to support complex data ingestion, movement, and intelligent applications. - Application Development & AI Integration (40%): Act as the hands‑on technical lead to build intelligent applications and APIs. Develop rapid prototypes and proofs-of-concept integrating Generative AI (Google Vertex AI, OpenAI) to validate new business ideas.
- Operationalization & Scale: Transition successful prototypes into maintainable production solutions, ensuring high performance, proper logging, and architectural reliability.
- Cross‑Functional Teaming & Agile Leadership: Collaborate across engineering, data science, product, and business stakeholders. Drive agile development processes by creating user stories, defining Work Breakdown Structures (WBS), and establishing standard code‑branching strategies.
More
About You:
Required:
- 5-7 years of experience in solutions engineering, cloud architecture, software development, or a related technical role.
- Bachelor's degree in Computer Science, Engineering, or a related field preferred.
- Strong Platform & Cloud
Experience:
Deep understanding of cloud environments (GCP, AWS). Proven experience working with Dev Ops, implementing CI/CD deployment pipelines, and using Infrastructure as Code (IaC) tools like Terraform. - Data Engineering Expertise: Proven experience with data movement, organization, and integration, including building ETL pipelines and working with No
SQL databases (e.g., Firestore) and data warehouses (e.g., Big Query). - Software Development
Skills:
Strong programming fundamentals with an emphasis on web and AI-driven application development (e.g., Node.js, Python, Java, or C#) and experience developing and consuming modern RESTful APIs. - Applied AI Integration: Familiarity with AI/ML concepts and hands‑on experience integrating with platforms like Google Vertex AI or OpenAI, including practical knowledge of prompt management and RAG (Retrieval‑Augmented Generation) architectures.
- Excellent communication and collaboration skills, with a proven ability to work independently in fast‑paced and ambiguous environments.
- Entrepreneurial mindset: curious, inventive, and comfortable designing in unstructured spaces while being focused on delivering results.
Preferred:
- Experience with enterprise systems relevant to media (e.g., CRM, ERP, scheduling and traffic systems, digital audio distribution, and broadcast technology).
- Stronger understanding of Agile/Scrum methodologies and experience managing technical workflows in Jira.
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