AI / ML Architect

About the job

AI / ML Architect (Hands-On | Individual Contributor) Experience 8-10 years total experience with 5+ years in AI / ML systems and strong hands-on coding skills. Role Summary We are looking for a hands-on AI / ML Architect who will work as an Individual Contributor, designing, building and deploying scalable AI / ML solutions. This role is NOT people-management focused – you will actively write production grade code, build models, architect ML platforms, and collaborate closely with cross functional engineering, product, and domain teams. What You’ll Do: We are currently seeking an experienced AI Architect who will collaborate closely with cross-functional teams to develop and deploy AI-powered features and tools that optimize employee experiences and drive business outcomes. • As an AI/ML Arch, you will be responsible for designing, developing, and deploying machine learning models and AI applications that solve complex business problems. • Expert in Designing and developing search and chat applications that utilize Agentic AI. • Design and develop AI paved paths for the Alight engineering organization. • Experiment to evaluate application performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance. • Stay up to date with new tools and technologies and evaluating their potential impact on the business. • Work with stakeholders to develop and tune algorithms to address business needs. You should be able to effectively communicate your ideas in non-technical terms to help educate business partners. • Evaluate, fine‑tune, and deploy LLMs and foundation models; implement RAG, guardrails, and prompt engineering best practices (conversant with Github Copilot). • Conversant with LLM security practices – Secure model deployment, Input validation, Data verification (guardrails) etc. • Write production quality Python code for: • Feature Engineering • Model evaluation • Interface services (APIs) • Conversant with Spring AI – building MCPs, tools, pre-plugin and post-plugin etc. • Build high performant Ingestion pipelines. • Expertise across cloud (AWS), data engineering, ML/GenAI and data ingestion techniques. • Work with CI/CD pipelines (Github Actions, Gitlab, Jenkins). • Mentor engineers on ML best practices (without direct people management). • Collaborate on a high-performing, agile team with a global presence. What You’ll Need: • Overall, 8 -10 years of experience into Data Engineering, Ingestion, AI ML / Gen AI related projects. • Specifically, AI / Gen AI / ML project(s) with 5+ years of experience. • Master’s degree with preferred concentrations in Computer Science, Data Science, Math, Actuarial Science, Engineering, or related field. • Experience writing in Python or Spark (ScalaSpark or PySpark) and with popular machine learning libraries such as TensorFlow, Keras, PyTorch, and conversant with JAVA (Spring AI). • Conversant with Spring boot services. • AI/ML architects should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation. • Knowledge of deep learning architectures and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning. • Familiarity with AWS data and data science tools including SageMaker, Glue, Lambdas, etc. • Experience in Agile and DevOps development process. • Must be able to clearly communicate complex technical concepts to a non-technical audience. We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. DISCLAIMER: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.