Description

What's the Job?

• Partner with business stakeholders to uncover high-impact opportunities for AI, automation, and process improvement.
• Lead discovery workshops and requirements discussions to understand workflows, pain points, and desired outcomes—then define measurable success criteria and KPIs.
• Design and deliver AI-powered solutions such as copilots, intelligent agents, retrieval augmented generation (RAG) applications, and workflow automations.
• Build and integrate solutions using modern engineering practices (version control, testing, CI/CD, monitoring) while maintaining strong security standards.
• Own initiatives from concept through production deployment, adoption support, ongoing optimization, and enhancement based on operational insights.

What's Needed?

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline, or equivalent practical experience.
• Approximately 5 to 8 years of experience in software engineering, solution architecture, data engineering, automation, or related fields.
• At least 2 years of hands-on experience building AI, machine learning, generative AI, or intelligent automation solutions.
• Strong development skills in Python, JavaScript/TypeScript, C#, or similar programming languages.
• Practical experience with modern AI concepts including large language models, prompt engineering, AI agents, RAG architectures, model evaluation, and automation frameworks

Key Skills

Education

Any Graduate