Solution Architect - Artificial Intelligence Solution (9-11 yrs)

Responsibilities :

- Design and architect end-to-end AI-driven solutions, including back-end, front-end, and infrastructure components.

- Lead the development of AI models and integrate them into enterprise applications.

- Architect and implement solutions leveraging LLMs and NLP for various use cases.

- Design and implement RPA solutions using UiPath, Automation Anywhere, or Blue Prism.

- Develop and deploy chatbots for automation, customer FAQs, and task automation.

- Build and deploy predictive models for data forecasting and recommendation systems.

- Design and implement scalable and secure cloud architectures on AWS.

- Utilize Docker and Kubernetes for containerization and orchestration of applications.

- Collaborate with cross-functional teams, including developers, data scientists, and product managers.

- Ensure adherence to best practices for software development, security, and performance.

- Provide technical leadership and mentorship to development teams.

- Conduct technical feasibility studies and proof-of-concepts.

- Communicate effectively with stakeholders to understand requirements and present solutions.

Required Skills :

- Minimum 9+ years of experience in software development and solution architecture, with expertise in building AI-driven solutions.

- Strong Python back-end and React front-end development skills.

- Expertise in LLMs, NLP, and AI model integration.

- Hands-on experience with RPA tools such as UiPath, Automation Anywhere, or Blue Prism.

- Proven experience in developing chatbots for automation, customer FAQs, and task automation.

- Experience in building predictive models for data forecasting and recommendation systems.

- Strong background in deploying applications on AWS and working with Docker and Kubernetes.

- Excellent understanding of software architecture patterns and best practices.

- Strong problem-solving and analytical skills.

- Excellent communication and presentation skills.

- Ability to work effectively in a fast-paced and dynamic environment.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

- Relevant certifications in cloud platforms (AWS), AI/ML, or RPA (preferred).