What are the responsibilities and job description for the Conversational AI Solution Architect position at Interon IT Solutions?
JD :
Providing technical leadership and mentorship to a team of engineers, fostering a culture of innovation and continuous learning.
Collaborating with cross-functional teams, including product owners, designers, business stakeholders, and engineers to drive key initiatives, projects, as well as bringing innovative ideas and concepts to life, facilitating a culture of experimentation.
Designing and architecting robust conversational AI solutions that deliver a seamless user experience across channels.
Evaluating and selecting the most suitable technologies and tools to optimize chat solutions with an emphasis on leveraging advanced techniques such as AI, Machine Learning and Cloud Native platforms.
Researches and proposes technical strategies. Studies and documents architectural frameworks and reference material. Designs and modifies components of new and existing IT systems and vendor offerings to promote integrated corporate business systems.
Driving continuous improvement in engineering practices, through automation, performance optimization, and code quality enhancements.
Embodying a deep technical expertise and thought leadership that will help evangelize, foster and accelerate adoption of conversational solutions. Explores, anticipates, and proactively responds to future customer, industry, and IT trends.
The successful candidate will have a strong work ethic, be a self-starter, and able to be highly productive in a dynamic, collaborative environment. Required Qualifications
12 years of experience in software development, enterprise architecture, or a similar role.
5 years if experience with AI development tools
5 Years of experience in Python or Java
5 years in AI framework libraries and AI tooling platforms
5 AWS, Azure or GCP
5 years of experience with developing and implementing target architectures.
Proven track record of designing and implementing conversational AI solutions, preferably in a large-scale enterprise environment.
Strong knowledge of cloud computing, SaaS architectures, and modern technologies such as machine learning and AI.
Prior experience with large healthcare, media, and entertainment or technology company.
Knowledge of API interfaces required to support conversational dialog
Experience with scaled agile (SAFe) methodology
Preferred Qualifications
Experience building multi-channel conversational bots with Watson Assistant (voice and text as primary channels including Watson Assistant with Phone Integration)
Knowledge of IBM SaaS services supporting Watson Assistant (speech-to-text, text-to-speech) Experience with Miro, LucidChart, Visio dialogue flow development
