Lead Software Engineer

We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.

As a Lead Engineer – Generative AI & ML, you will play a critical role in designing, developing, and deploying AI/ML solutions, with a focus on generative AI technologies. You will lead technical initiatives, mentor junior engineers, and work closely with cross-functional teams to solve complex data and automation challenges.

Key Responsibilities:

• Design and develop scalable Generative AI and ML solutions to enhance our data analytics and automation platform.
• Lead end-to-end lifecycle of machine learning models — from data collection, preprocessing, and feature engineering to model development, deployment, and monitoring.
• Work with large-scale structured and unstructured datasets, ensuring high data quality and effective feature engineering.
• Implement and optimize Generative AI and ML models using Python and frameworks such as TensorFlow, LangChain, LangSmith, and LangGraph.
• Leverage retrieval-augmented generation (RAG) techniques for enhanced AI performance.
• Deploy models using MLOps best practices, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
• Collaborate with data engineers, product managers, and business stakeholders to align AI/ML initiatives with business goals.
• Stay updated on advancements in Generative AI, LLMs, and ML technologies, proactively identifying opportunities to leverage new tools and techniques.
• Mentor and guide junior engineers, fostering a collaborative and innovative environment while contributing to AI/ML development best practices.

Required Qualifications:

• 8+ years of experience in data science, machine learning, and artificial intelligence, with strong proficiency in Python.
• Deep expertise in Generative AI, large language models (LLMs), deep learning, NLP, and traditional ML techniques.
• Hands-on experience with ML frameworks including TensorFlow, LangChain, LangGraph, RAG, PyTorch, Scikit-learn, and Keras.
• Proficiency with cloud platforms such as AWS, Azure, or GCP for model training, deployment, and monitoring.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of databases (SQL, NoSQL) and big data technologies like Spark and Hadoop is a plus.
• Experience with MLOps, containerization (Docker, Kubernetes), and building CI/CD pipelines for AI/ML workflows.
• Excellent analytical and problem-solving skills, with experience working in agile development environments.
• Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.

Why Join Us?

• Work with cutting-edge Generative AI and ML technologies in a fast-paced, innovation-driven environment.
• Opportunity to lead impactful projects and mentor a talented team of engineers.
• Competitive compensation, benefits, and clear career growth opportunities.
• Be part of a collaborative culture that values learning, experimentation, and creativity.

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.