Generative AI Solution Architect

Job Purpose

We are seeking a highly skilled and innovative Generative AI Solution Architect to join our dynamic team. The ideal candidate will have overall 8-10 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.

Role and 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.
• 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.