Posted on: 09/07/2025
Role & Responsibilities :
As an AI Data Application Specialist, you will be part of a growing AI Center of Excellence, working to integrate AI into data-driven decision-making across agencies. This role involves analyzing existing data architectures, developing AI-powered prototypes, and consulting on AI solutionsbridging the gap between technical execution and business impact.
The focus is on strategic system design and AI consulting, rather than day-to-day coding. You will work collaboratively to develop AI-powered workflows, optimize data pipelines, and explore generative AI applications to enhance business intelligence.
1. AI Strategy & Consulting for Data System Optimization :
- Advise on how AI can enhance data systems within different business and technology environments.
- Assess current data architectures and identify opportunities for AI integration.
- Design sustainable AI-driven data solutions, considering scalability, maintenance, and real-world business impact.
- Communicate the advantages and limitations of AI-powered data workflows to key stakeholders.
2. AI-Powered Data Pipeline Design & Prototyping :
- Develop AI-supported data systems, integrating RESTful APIs, relational databases, and cloud storage solutions.
- Use Python, Numpy, Pandas, Scikit-learn, and Scipy to analyze data and build AI-enabled solutions.
- Design and implement machine learning models to solve key business challenges.
- Collaborate with cross-functional teams, utilizing version control and code review practices.
3. Research & AI Innovation for Business Solutions :
- Stay informed on Generative AI, Large Language Models (LLMs), and multimodal AI developments.
- Explore new AI-driven business applications, providing recommendations on AI adoption strategies.
- Build AI prototypes to assess feasibility, efficiency, and long-term viability.
Ideal Candidate :
- 2+ years of experience in data science, machine learning, or applied statistics.
- Strong consulting and communication skillsability to simplify complex AI concepts for non-technical audiences.
- Must have experience in designing and developing chatbots or conversational AI
- Fluent in English (MANDATORY)comfortable engaging with global teams and stakeholders.
- Proficiency in Python and data analysis tools (Pandas, Numpy, Scikit-learn, etc.).
- Must have Experience working with data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure).
- Must have hands-on experience in LLM with practical exposure to generative AI or multi-agent frameworks.
- Familiarity with Generative AI tools and LLMs (e.g., ChatGPT, Gemini, Claude) and their integration into data systems. -MANDATORY-
Preferred Skills :
- Experience in technical consulting or AI solution design.
- Understanding of AI ethics, model governance, and scalable AI systems.
- Knowledge of data visualization tools (Power BI, Tableau, Looker) for AI-driven analytics.
Why Join This Role?
- AI-Driven Impact - Play a critical role in integrating AI into real-world data solutions.
- Innovation-Focused - Work with cutting-edge AI technologies, including LLMs and multimodal AI.
- Global Exposure - Collaborate with international teams and contribute to enterprise-wide AI transformation.
- Strategic Influence - Be at the forefront of business process optimization using AI.
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