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.
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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.
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Expert in Designing and developing search and chat applications that utilize Agentic AI.
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Design and develop AI paved paths for the Alight engineering organization.
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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.
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Stay up to date with new tools and technologies and evaluating their potential impact on the business.
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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
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Evaluate, fine‑tune, and deploy LLMs and foundation models; implement RAG, guardrails, and prompt engineering best practices (conversant with Github Copilot).
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Conversant with LLM security practices – Secure model deployment, Input validation, Data verification (guardrails) etc.
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Write production quality Python code for:
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Feature Engineering
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Model evaluation
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Interface services (APIs)
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Conversant with Spring AI – building MCPs, tools, pre-plugin and post-plugin etc.
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Build high performant Ingestion pipelines.
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Expertise across cloud (AWS), data engineering, ML/GenAI and data ingestion techniques
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Work with CI/CD pipelines (Github Actions, Gitlab, Jenkins)
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Mentor engineers on ML best practices (without direct people management)
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Collaborate on a high-performing, agile team with a global presence
What You’ll Need:
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Overall, 8 -10 years of experience into Data Engineering, Ingestion, AI ML / Gen AI related projects.
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Specifically, AI / Gen AI / ML project(s) with 5+ years of experience
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Master’s degree with preferred concentrations in Computer Science, Data Science, Math, Actuarial Science, Engineering, or related field.
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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)
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Conversant with Spring boot services
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AI/ML architects should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation
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Knowledge of deep learning architectures and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning.
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Familiarity with AWS data and data science tools including SageMaker, Glue, Lambdas, etc.
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Experience in Agile and DevOps development process
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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.
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