AI Efficiency, Innovation & Automation Analyst
Sony Pictures Entertainment5 days ago
Buenos Aires, Argentina or Bogotá, ColombiaMid Level
Responsibilities
- Develop automation solutions that streamline repetitive, manual, and time-consuming business processes.
- Build AI-enabled workflows using Python, APIs, workflow automation tools, generative AI capabilities, and cloud-based data assets.
- Design and build end-to-end solutions including data ingestion, backend logic, APIs, user interfaces, dashboards, lightweight web applications, internal tools, and prototypes.
- Query, transform, integrate, and prepare data from the AWS-based data warehouse for AI, automation, and business-facing solutions.
- Develop reusable SQL queries, data extracts, backend logic, and data workflows connecting internal data sources with applications, dashboards, automations, and AI tools.
- Collaborate with Analytics and Data Science teams to integrate analytical assets, predictive models, reporting products, and model outputs into tools and workflows.
- Coordinate with Cloud Operations, DevOps, Information Security, and technology governance teams on deployment, access controls, documentation, security reviews, and compliance.
- Apply practical AI techniques including natural language interfaces, document intelligence, semantic search, summarization, classification, recommendation support, and AI-assisted content workflows.
- Develop prototypes, pilots, and modular solutions that can be tested, approved, scaled, and maintained.
- Document solution designs, workflows, assumptions, dependencies, technical requirements, data flows, and governance considerations.
- Monitor external vendors, technology partners, startups, and innovation ecosystems for relevant AI and automation opportunities.
Requirements
- Bachelor's or advanced degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, Business Analytics, or a related quantitative or technical field.
- Two to four years of professional experience in full-stack development, analytics engineering, data automation, AI solution development, data engineering, business intelligence engineering, or related technical roles.
- Fluent Spanish and English are required; Portuguese is a plus.
- Strong proficiency in Python and SQL.
- Experience building end-to-end solutions involving user interfaces, backend logic, databases, APIs, workflow orchestration, and deployment-ready prototypes.
- Hands-on experience with cloud-based data warehouses or modern data platforms, preferably AWS.
- Working knowledge of generative AI tools, large language models, prompt engineering, document automation, semantic search, embeddings, vector search, RAG architectures, chatbot development, or AI-assisted workflow design.
- Experience with APIs, data pipelines, data integration, system connectivity, workflow automation, data quality checks, and scalable analytical workflows.
- Experience presenting data, automation outputs, AI-assisted results, monitoring metrics, and operational insights through dashboards, reports, custom tools, or visualization frameworks.
- Familiarity with JavaScript, TypeScript, React, Node.js, Flask, FastAPI, Streamlit, Dash, Airflow, AWS Step Functions, Prefect, or Dagster is a plus.
- Familiarity with cloud deployment processes, CI/CD concepts, containerization, access controls, data privacy, and information security review processes is a plus.
- Media and entertainment experience, including streaming, production studios, theatrical distribution, TV networks, digital media, social media, marketing analytics, advertising, content distribution, or audience insights, is a plus.
Tech Stack
Categories
About Sony Pictures Entertainment
Sony Pictures Entertainment produces and distributes motion pictures and television series, manages digital content and home entertainment, and operates studio facilities for creators and global platforms. A subsidiary of Sony Group Corporation based in Culver City, it distributes content in more than 130 countries and runs a studio lot with 18 sound stages. Revenue comes from theatrical and TV distribution, licensing, networks, and related services.