Staff AI Engineer

Imagine building intelligent systems that redefine how global brands connect with their customers. We're searching for a Staff AI Engineer to drive significant innovation within Acquia, helping us empower the most ambitious companies worldwide. This is a unique chance to leverage your deep AI expertise, collaborating with a distributed team from your preferred location anywhere on the planet. If you're passionate about transforming complex data into actionable insights and creating impactful digital experiences, then let's talk about what's next for you at Acquia.

Overview

Acquia is a leader in digital experience platforms, and we're scaling our AI capabilities to further enhance our offerings. As a Staff AI Engineer, you will play a pivotal role in designing, developing, and deploying advanced artificial intelligence and machine learning solutions that integrate seamlessly into our platform. This fully remote position offers the flexibility to work from anywhere globally while contributing to projects that have a tangible impact on thousands of organizations. You will be instrumental in pushing the boundaries of what's possible in digital experience creation, working with an innovative team that champions open source and cutting-edge technology.

Key Responsibilities

Architect, design, develop, and deploy robust, scalable AI and machine learning models and pipelines that power new product features and enhance existing ones.
Lead significant technical initiatives from conception through to production, ensuring successful delivery and measurable business outcomes.
Collaborate closely with product managers, data scientists, and other engineering teams to understand requirements and translate them into effective AI driven solutions.
Mentor junior engineers, providing technical guidance, code reviews, and fostering a culture of technical excellence and continuous learning.
Stay abreast of the latest advancements in AI/ML research and technology, evaluating and recommending new tools and approaches to maintain Acquia's competitive edge.
Optimize the performance, reliability, and cost-effectiveness of AI/ML systems in production environments.
Contribute to the strategic direction of Acquia's AI platform and overall technical roadmap.

Requirements

Extensive professional experience in machine learning engineering, with a proven track record of designing and deploying complex AI systems into production.
Demonstrated expertise in multiple AI domains, such as natural language processing (NLP), computer vision, recommendation systems, or predictive analytics.
Strong proficiency in programming languages like Python, alongside experience with relevant ML libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Solid understanding of data structures, algorithms, and software engineering principles, with a focus on building scalable and maintainable codebases.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) for deploying and managing AI/ML workloads.
Familiarity with MLOps practices, including model versioning, deployment, monitoring, and pipeline orchestration.
Excellent problem-solving skills, with an ability to tackle complex technical challenges creatively and effectively.
Exceptional communication and collaboration skills, capable of explaining complex technical concepts to diverse audiences and working effectively in a global, remote team environment.
A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, related technical field, or equivalent practical experience.

What You'll Gain

The opportunity to make a significant impact on Acquia's product portfolio and influence the future of digital experiences globally.
Work within a culture that values innovation, open source contributions, and continuous professional growth.
Collaborate with a diverse, international team of talented engineers, product managers, and designers.
Enjoy the flexibility and autonomy of a fully remote role, supporting work life balance from anywhere in the world.
Be part of a company recognized as a Great Place to Work CertifiedTM organization and a market leader in the DXP space.