Title:  Architect

Area(s) of responsibility

Job Title: Generative AI Solution Architect
Job Description:
We are seeking a highly skilled and innovative Generative AI Solution Architect to join our dynamic team. The ideal candidate will have overall 15+ years of hands-on experience in IT Industry and 2+ years of the field of Generative AI, with a proven track record of developing and implementing cutting-edge AI solutions. This role requires a creative thinker who can leverage new technologies and ideas to drive innovation.

Key Responsibilities:
•    Lead the Solutioning architecture and Design of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM and vector databases to drive innovation and business impact.
•    Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment.
•    Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
•    Innovate and experiment with new Gen AI technologies to enhance our product offerings.
•    Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy
•    Experiment with cutting-edge techniques and stay abreast of advancements in the field of generative AI.
•    Communicate effectively with clients and internal teams to ensure project alignment and success.
•    Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization.
•    Take ownership of tasks and projects, ensuring timely and high-quality delivery.
•    Maintain a positive attitude and contribute to a collaborative team environment.
•    Lead technical discussions and guide development teams in implementing solutions using Python, Flask,FastAPI, SQL, and JavaScript.
•    Ensure adherence to architectural best practices and standards.
•    Work on deploying AI models into production environments and ensure scalability and reliability.
•    Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies.
•    Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence