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Posted 18 days ago
Requirements and responsibilities
Project Description:
- We are looking for a Lead Software Engineer to drive the architecture, design, and development of AI-powered conversational and automation solutions within a cloud-native environment.
- The role will focus on building scalable bot platforms and leveraging modern AI/ML capabilities using Google Cloud technologies and enterprise-approved GenAI tools to support business transformation initiatives.
Responsibilities:
- Lead technical design and architecture for conversational AI and bot solutions.
- Drive hands-on development and guide the engineering team through implementation and delivery.
- Develop and optimize AI/ML and LLM-based solutions using Google Cloud technologies.
- Ensure adoption of enterprise-approved AI tools to improve engineering productivity and delivery quality.
- Collaborate with cross-functional teams to define scalable and maintainable technical solutions.
Skills – Must Have:
- Software Architecture.
- Google Cloud Platform (GCP).
- Google DialogFlow.
- Vertex AI.
- Agent Development Kit (ADK).
- Large Language Models (LLMs).
- Python / Java / Go.
- AI/ML Engineering.
- Conversational AI.
Qualifications:
- Bachelor's or Master's degree in Computer Science or related field.
- Minimum 5 years of experience in software architecture or AI/ML engineering, including at least 2 years of hands-on experience with Google Cloud Platform.
- Strong experience designing and developing conversational AI solutions using Google DialogFlow, Vertex AI, ADK, and LLM technologies.
- Proficiency in Python, Java, or Go is required.
- Candidates are expected to demonstrate day-to-day usage of enterprise-approved AI tools (e.g., GitHub Copilot, Microsoft 365 Copilot, and approved GenAI platforms) to improve coding efficiency, documentation quality, analysis, and decision-making while maintaining continuous learning of emerging AI capabilities.
Preferred Skills:
- Google Cloud certification.
- Experience with Generative AI, prompt engineering, and advanced LLM use cases.
- Healthcare industry experience or exposure to healthcare systems is preferred but not required.
Nice to Have:
- Experience leading engineering teams and driving AI adoption at scale is a plus.
- Exceptional communication skills.
- Ability to deliver exceptional customer service with a positive attitude.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)