Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
Must have skills : Generative AI
Good To Have Skills: : Machine Learning (ML)
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Forward Deployed Engineer, a typical day involves coordinating the implementation of artificial intelligence workflows and system architectures across a variety of technology platforms. This role requires managing the integration of solutions within a complex enterprise technology environment, ensuring seamless interaction between multiple artificial intelligence models and diverse provider platforms. The position demands active collaboration with various teams to align deployment strategies with organizational goals, while continuously adapting to evolving technological landscapes and operational requirements.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
- Monitor and troubleshoot deployed AI workflows to maintain optimal performance and reliability.
- Document deployment processes and best practices to support knowledge sharing within the team.
- Assist junior team members in understanding deployment procedures and resolving technical challenges.
Professional & Technical Skills:
Must To Have Skills:
- Proficiency in Generative AI.
- Valuable To Have Skills:: Experience with Machine Learning (ML).
- Strong understanding of artificial intelligence model deployment and integration techniques.
- Familiarity with enterprise technology stacks and multi-provider platform ecosystems.
- Ability to design scalable AI workflows that align with business and technical requirements.
- Experience in troubleshooting and optimizing AI system performance in production environments.
- The candidate should have minimum 2 years of experience in Generative AI.