Artificial Intelligence Engineer

AI Engineer📍 Location: Springfield, MA, United States🏢 Industry: Financial Services💼 Work Setting: HybridAre you passionate about designing and deploying cutting-edge AI solutions that solve complex business challenges and deliver measurable impact?We are seeking a talented AI Engineer to join a collaborative and innovative team focused on developing enterprise-scale artificial intelligence solutions. In this role, you will take ownership of the full AI solution lifecycle, from problem definition and model development to deployment and optimization. You'll leverage machine learning, generative AI, large language models (LLMs), and advanced analytics to create intelligent systems that drive business outcomes and innovation.The ideal candidate combines strong technical expertise, hands-on engineering experience, and a passion for delivering production-ready AI applications that create real-world value.Key ResponsibilitiesDesign, develop, and deploy end-to-end AI and machine learning solutions that address complex business needs.Build intelligent applications using machine learning, deep learning, generative AI, agent-based systems, and large language models.Independently define project scope, success metrics, evaluation criteria, and technical approaches in collaboration with stakeholders.Develop and execute rigorous testing, experimentation, benchmarking, and performance evaluation frameworks to validate AI solutions.Create rapid prototypes to assess solution feasibility and transform validated concepts into scalable production systems.Develop APIs, services, automation pipelines, and integrations that support enterprise AI deployment.Apply responsible AI, model governance, and engineering best practices throughout the development lifecycle.Optimize AI solutions for scalability, reliability, performance, and operational efficiency.Contribute to reusable frameworks, development standards, and best practices across the AI engineering function.Translate technical findings into actionable business insights and recommendations.Present complex concepts and results to both technical and non-technical audiences.Document technical designs, methodologies, and implementation approaches.Support peer learning, technical reviews, mentoring, and knowledge-sharing activities within the team.Stay current with emerging AI technologies, research advancements, and industry trends.Required QualificationsEducationBachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, Physics, or a related quantitative field.ExperienceMinimum of 4 years of experience in AI Engineering, Machine Learning Engineering, Data Science, or related disciplines.Proven track record of independently developing and delivering AI or machine learning solutions in production environments.Experience deploying and managing AI solutions at scale.Technical SkillsStrong expertise in:Machine LearningDeep LearningNatural Language Processing (NLP)Large Language Models (LLMs)Generative AIAgentic AI architecturesPrompt EngineeringStatistical ModelingExperience building production-grade AI systems, including:Model deploymentAPI developmentCloud-based architecturesSystem integrationsAI application developmentAdvanced proficiency in Python with experience developing maintainable, tested, and production-quality code.Experience evaluating foundation models and measuring AI system performance using quantitative methodologies.Knowledge of model experimentation, benchmarking, and performance optimization techniques.Familiarity with software engineering best practices, version control, testing, and CI/CD processes.Preferred QualificationsExperience with modern AI agent frameworks, orchestration platforms, and multi-agent systems.Knowledge of cloud-native AI services and infrastructure platforms.Experience with:SQL and database designVector databasesSemantic search technologiesKnowledge retrieval systemsCloud data platformsUnderstanding of:Causal inferenceBayesian modelingOptimization techniquesAdvanced statistical methodsPredictive analyticsMaster's degree or advanced studies in a quantitative discipline preferred.Experience contributing to research initiatives, publications, open-source projects, or innovative AI applications.Professional SkillsStrong analytical and problem-solving capabilities.Ability to independently manage projects with minimal supervision.Excellent communication and presentation skills.Strong stakeholder management and collaboration abilities.Ability to explain complex technical concepts to diverse audiences.Passion for continuous learning and exploring new technologies.Strong attention to detail and commitment to engineering excellence.