As an Senior Solution Architect – Gen AI, you will be a part of an Agile team to design and build healthcare applications and implement new features while adhering to the best coding development standards . you will be responsible for ensuring the quality, reliability and performance of our application. You will work closely with our development team to design, implement, and execute comprehensive test plan, including automation testing and API testing. Your expertise in both software quality assurance and ophthalmology will be critical in ensuring that our application meets the highest standards of accuracy.

Responsibilities: -

Articulating, acting as an advisor and leading the workshop with customers and proficient in emerging technical trends in AI & GenAI.
collaborating with Sales and Engineering teams to develop POCs and propose solutions.
Help in developing strong methodologies, processes, implementation, and rollout plans.
Help with strategic consulting and building AI/ML-driven road maps for our customers.
Work with offshore AI/ML/Data delivery and competency teams on a regular basis and communicate project requirements to these teams.
Help customers perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc

Skills: -

Mandatory Technical Skills: -

Minimum 12 years of experience in AI solutioning, including designing architecture and evaluating opportunities for optimal implementation.
Should have exposure to healthcare domain and must be aware of Health Insurance Portability and Accountability Act compliance
Good technical understanding of AI and GenAI technologies including NLP, Computer Vision and Search and Summarization
Should have knowledge of technical advisory/consulting roles with customers
Strong capabilities in creating and assembling the solution for the customer Singlehandedly
Should have strong PowerPoint and Excel capabilities and must be able to participate in the assessment exercises with customer
Should have experience of working with tech partners like Nvidia and Cloud AI Eco-systems partners
Excellent communication skills

Good to Have Skills: -

Knowledge of infrastructure stacks such as AWS, Linux, Scala, Docker, Kubernetes, Kafka, Spark, and more
Coding knowledge and experience in one or more programming languages such as Python, R, Java, JavaScript, and more
Experience in visualizing/presenting data to stakeholders
Understands the AI/ML products and market landscape
Prior experience of working on healthcare applications will be an added advantage