AI ML Architect

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)

• 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