About The Role

IND Lead Software Engineer - GCC026

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Job Summary**

We are seeking an innovative and experienced IND Platform & Agentic AI Engineer to design, develop, and deploy cutting-edge AI platforms and intelligent agentic systems. This role will be instrumental in leveraging AI to enhance our products and services, driving innovation, and solving complex business challenges.

Job Responsibilities**

Design, develop, and maintain scalable and robust AI platforms for data ingestion, processing, model training, and deployment.
Architect and implement agentic AI systems capable of autonomous decision-making, learning, and interaction within dynamic environments.
Develop and integrate AI/ML models into various applications and services, ensuring high performance and reliability.
Collaborate with data scientists, researchers, and product teams to translate business requirements into technical solutions.
Implement best practices for MLOps, including continuous integration, continuous deployment, and model monitoring.
Evaluate and integrate new AI technologies, frameworks, and tools to optimize platform capabilities.
Ensure the security, privacy, and ethical considerations of AI solutions are addressed throughout the development lifecycle.
Document technical designs, architectures, and processes for internal and external stakeholders.
Mentor junior engineers and contribute to a culture of technical excellence and innovation.

Job Qualifications**

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
Proven experience (5+ years) in designing, developing, and deploying AI platforms and intelligent systems.
Strong proficiency in programming languages such as Python, Java, or Go.
Extensive experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
Solid understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing.
Experience with agent-based modeling, reinforcement learning, or multi-agent systems is highly desirable.
Familiarity with containerization technologies (Docker, Kubernetes) and microservices architecture.
Knowledge of MLOps principles and tools (e.g., MLflow, Kubeflow, Data Version Control).
Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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