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 accuracyExperiment 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 excellenceRequired 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.