Forward Deployed Engineer (AI Capability Center)

This is a hands-on engineering role focused on building AI-powered solutions directly alongside business users.
You’ll work within a collaborative delivery pod, translating real business needs into production-ready software.
The role combines full-stack development, cloud engineering, generative AI, and close user collaboration.
You’ll build and deploy features across AWS and Azure using modern AI models and development tools.
Quality is central to the role, with testing and evaluation embedded throughout the delivery lifecycle.
You’ll work closely with solution architecture and engagement leadership while maintaining a strong focus on implementation.
This is an opportunity to contribute to practical AI transformation projects in a remote environment with meaningful client impact.

• 3–5 years of professional experience building software, AI solutions, or related technical products.

• Strong hands-on development skills in Python and experience working with AWS and/or Azure.

• Experience with front-end development and full-stack engineering practices.

• Familiarity with Retrieval-Augmented Generation (RAG), AI agents, or related generative AI architectures.

• Exposure to agentic development tools, AI-assisted coding, or evaluation-driven development pipelines is preferred.

• A strong builder mindset with the ability to work directly with business stakeholders and translate requirements into practical solutions.

• Ability to work collaboratively, take technical direction, communicate design concerns, and operate effectively in a fast-moving environment.

• Experience or exposure to healthcare or higher education environments is advantageous.

• AWS AI Practitioner or Azure AI-900 / AI-102 certification is a plus.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.