Senior Applied AI Engineer

About the Role

Key Responsibilities

• Hands-on role, actively working with teams and leveraging technical experience.
• Supporting the development of core AI platform capabilities.
• Building and managing a high-performance platform engineering team, fostering innovation, collaboration, and technical excellence.
• Applying strong engineering expertise in AI, ML, and modern data technologies to enhance platform functionality.
• Leading the design, development, and scaling of large platforms with a focus on reliability, scalability, and security.
• Driving the development and implementation of GenAI and AI solutions on the AI platform using platform capabilities.
• Providing mentorship and career growth opportunities for technical teams as an inspirational people leader.
• Demonstrating enterprise-level leadership, influencing stakeholders, and acting as a go-getter to drive execution.
• Defining and executing the vision and roadmap for AI solutions on the platform aligned with organizational goals and customer needs.

Requirements

• 4 or more years of experience in developing AI, ML, or applied engineering applications with a strong track record of building AI-driven solutions.
• Hands-on experience with cloud platforms such as Google Cloud, AWS, and Azure.
• Strong understanding of GenAI, machine learning, and related technologies along with business acumen.
• Ability to collaborate and partner with business leaders and IT/Data Science teams.
• Strong problem-solving skills with the ability to guide and mentor engineering teams.
• Experience focused on AI-driven use case development.
• Bachelor's or Master's degree in Computer Science or a related field.
• Strong written and verbal communication skills.
• Must be authorized to work in the US without company sponsorship.

Nice to Have

• Development experience for WebService API with AWS, Google Cloud Platform, and Azure suite of tools for AI / GenAI.
• Proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, and performance tuning.
• Experience building applications using RAG and Summarization patterns, prompt management, and Agentic Framework.
• Experience in building Agentic systems using frameworks like LangGraph and CrewAI.
• Basic understanding of ML frameworks such as TensorFlow, Anaconda, Scikit-Learn, SageMaker, Agentic AI, and Vertex AI.
• Experience working with Docker, Kubernetes, and EC2 environments.
• Experience enabling services like Amazon Q, MSFT Copilot, and similar enterprise services.
• Familiarity with Python Flask or Spring Boot.

Qualifications

• Educational background with a Bachelor's or Master's degree in Computer Science or a related field.

Benefits & Perks

• Competitive base pay ranging from $117,200 to $175,800 annually, with potential variation based on performance and competencies.
• Additional rewards including short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
• Comprehensive benefits package as part of The Hartford's total compensation.