IND Platform & Agentic AI Engineer

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 a highly skilled and innovative IND Platform & Agentic AI Engineer to join our dynamic team. This role will be crucial in designing, developing, and deploying cutting-edge AI-powered platforms and intelligent agentic systems that drive business value and innovation within Hartford Global Services Private Limited. Job Responsibilities** * Design, develop, and implement scalable and robust AI platforms leveraging diverse technologies and frameworks. * Architect and build intelligent agents and multi-agent systems capable of autonomous decision-making and task execution. * Integrate AI models and algorithms into existing and new software solutions, ensuring seamless functionality and performance. * Conduct research and development into new AI methodologies, agent architectures, and platform enhancements. * Collaborate with cross-functional teams including data scientists, software engineers, and product managers to define requirements and deliver solutions. * Optimize AI models and platform components for performance, efficiency, and cost-effectiveness. * Implement and maintain CI/CD pipelines for AI platform and agentic system deployments. * Ensure adherence to best practices in software engineering, security, and data privacy. * Provide technical guidance and mentorship to junior engineers. Job Qualifications** * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. * 5+ years of experience in software development with a strong focus on AI/ML. * Proven experience in designing and building scalable AI platforms and distributed systems. * Expertise in developing and deploying intelligent agents or multi-agent systems. * Proficiency in programming languages such as Python, Java, or C++. * Strong understanding of AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). * Familiarity with MLOps practices and tools. * Excellent problem-solving, analytical, and communication skills. * Ability to work independently and collaboratively in a fast-paced environment.