Artificial Intelligence Engineer

Stratworks

Taguig

On-site

PHP 600,000 - 1,000,000

Full time

20 hours ago
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Job summary

Stratworks, a storytelling and marketing agency, seeks an AI Engineer to drive smarter, data-driven marketing through AI, automation, analytics, dashboards, SEO, and Omnisearch. You will work with Digital, PR, and Content teams to improve workflows, uncover insights, and strengthen brand visibility across AI-powered search platforms.

The role requires a Bachelor's degree and at least 2 years in AI, analytics, automation, SEO, or marketing technology.

Qualifications

  • Bachelor's degree in CS/IT/Data Analytics/Engineering/Marketing Tech or related field.
  • Minimum 2 years in AI, analytics, automation, SEO, or marketing tech.
  • Agency experience is a plus.
  • Strong analytical and communication skills.

Responsibilities

  • Identify opportunities to use AI across agency operations.
  • Build and maintain AI-powered workflows and tools.
  • Develop dashboards to track key metrics.
  • Conduct SEO audits, keyword research, and competitor analysis.
  • Collaborate with Digital, PR, and Content teams to enhance brand visibility across AI-powered search platforms.
  • Document best practices and provide AI training.

Skills

AI & Automation
Data Analytics
Dashboarding
Python
SQL
APIs
Omnisearch
Cross-functional Collaboration
SEO
Data storytelling

Education

Bachelor's degree

Tools

Google Analytics
Google Search Console
SEMrush
Ahrefs
ChatGPT
Gemini
Claude
Perplexity
SQL Databases

Job description

About Stratworks: For over 27 years, Stratworks has ignited hearts and minds with award-winning storytelling across all marketing channels. Our diverse team of "geeks and rebels" thrives on creating insight-driven, consumer-centric campaigns that make brands LEAD relevant roles in their audiences' lives.

We’re looking for an AI Engineer to help drive smarter, data driven marketing through AI, automation, analytics, dashboards, SEO, and Omnisearch. This role works closely with different teams to improve workflows, uncover insights, and strengthen brand visibility across both traditional and AI powered search platforms.

Key Responsibilities

AI & Automation

  • Identify opportunities to use AI across agency operations and client work.
  • Build and maintain AI powered workflows, automations, and tools.
  • Explore new AI solutions that improve efficiency and performance.
  • Support teams in integrating AI into research, reporting, content, and marketing processes.
  • Collect, analyze, and interpret data from various platforms.
  • Build and maintain dashboards to track key business and campaign metrics.
  • Automate reporting processes and ensure data accuracy.
  • Turn data into actionable insights and recommendations.
  • Monitor website performance, search rankings, and organic traffic.
  • Conduct SEO audits, keyword research, and competitor analysis.
  • Track brand visibility across Omnisearch, ChatGPT, Gemini, Perplexity, and other AI search platforms.
  • Develop reports and insights to improve search performance and discoverability.
  • Work with Digital, PR, and Content teams to strengthen brand presence across search channels.
  • Stay updated on AI, analytics, SEO, and marketing technology trends.
  • Recommend solutions that improve productivity and reporting.
  • Document best practices and provide AI training when needed.
Qualifications
  • Bachelor's degree in Computer Science, IT, Data Analytics, Engineering, Marketing Technology, or a related field.
  • At least 2 years of experience in AI, analytics, automation, SEO, or marketing technology.
  • Agency experience is an advantage.
  • Strong analytical, problem solving, and communication skills.
Technical Skills
  • AI Platforms (ChatGPT, Gemini, Claude, Perplexity)
  • SEO Tools (Google Analytics, Google Search Console, SEMrush, Ahrefs)
  • SQL and Database Management
  • Python for Automation and Analysis
  • API Integrations
  • Omnisearch and AI Search Monitoring
  • AI & Automation
  • Data Analytics
  • Data Storytelling
  • Cross Functional Collaboration
Success Measures
  • Increased efficiency through automation.
  • Faster and more accurate reporting.
  • Improved SEO and AI search visibility.
  • Higher adoption of AI tools across teams.
  • Actionable insights that support better business and marketing decisions.
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