Senior AI Engineer
Job Description
As a Senior AI Engineer at Infosys in the United States (onsite), you will work as an Architecture Consultant 2, helping clients translate requirements into scalable, secure solution architectures. This role combines architecture leadership with practical execution support, including integration strategy development and build and deployment automation. You will also enable long-term impact by producing reusable architectural artifacts and driving knowledge transfer.
Responsibilities
- Participate in customer discussions to gather and analyze system requirements focused on performance, security, and scalability.
- Recommend solution architecture and contribute to technology framework development, support enterprise architecture definition, and drive the creation of detailed designs.
- Identify suitable technologies and tools available in the market and perform comparative analysis against client business requirements to determine optimal architectural solution options.
- Help develop integration strategies by validating proof of concept for proposed architectural solutions.
- Support a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to build and deployment automation strategy.
- Collaborate with development teams to resolve complex technical issues using solution deployment and rollout methods across build, deployment, and support phases.
- Analyze system performance based on implemented architectural solutions and support identification of potential risks across the system landscape.
- Create artifacts of architectural frameworks and technical solutions to enrich the team’s knowledge repository.
What You’ll Bring
- Ability to analyze, design, and develop scalable and secure architectures.
- A knack for assessing multiple technologies, tools, and frameworks to recommend optimal solutions.
- Understanding of integration methodologies, proof-of-concept validation, and deployment strategies.
- Ability to document architectural frameworks and solutions.
- Proactive communication with internal teams and clients to ensure alignment with business objectives.
- A strong drive to keep up with up-to-date technical advancements to support relevant and effective recommendations.
- Ability to maintain standards and support smooth transition through knowledge transfer.