Solutions Architect

- 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. - Technical Guidance & Leadership: Provide mentorship, conduct code reviews, and collaborate with cross-functional teams. - Proposal, Estimation & Demos: Lead proposal creation, develop PoCs, and participate in RFP/RFI responses. - Presentation & Communication: Deliver presentations, document architecture decisions, and engage with stakeholders. - 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 Required Skills and Qualifications: - Strong hands-on experience with AI/ML frameworks and tools (e.g., Langchain, Langgraph). - Must have experience working with any agentic framework. - Deep understanding of security, authentication (OAuth, SSO, IAM), and API management. - Experience with microservices, serverless computing, containerization (Docker, Kubernetes). - Experience with Azure AI Search or vector databases. - Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes. - Proven ability to think creatively and implement innovative solutions. - Excellent communication skills, both verbal and written. - Ability to work effectively with clients and internal teams. - Strong problem-solving skills and attention to detail. - Positive attitude and a proactive approach to work. - Good knowledge of cloud platforms and related technologies (e.g., AWS, Azure, Google Cloud). - Extensive experience in developing and deploying Python applications. - Strong understanding of object-oriented programming (OOP) concepts. - Ability to write modular and maintainable code using Python. Preferred Qualifications: - Minimum of a Bachelor's degree in Computer Science, Engineering, or a related field. - Experience with natural language processing (NLP) and computer vision technologies. - It would be an added advantage if the candidate holds certifications in cloud technologies and Generative AI. Behavioural Skills: - Exceptional leadership and communication skills, with the ability to inspire and influence teams. - Strong analytical and problem-solving abilities, coupled with a strategic mindset for AI implementation. - Demonstrated thought leadership in AI, evidenced by publications, patents, or industry recognition.