AI ML Architect

eveloping, 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.
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