Qualifications
Key Responsibilities:Define and manage the end-to-end solution architecture for AI-driven products, ensuring they are scalable, reliable, and high-performing. Design and deploy advanced Generative AI solutions utilizing LLMs, including prompt engineering, fine-tuning, and model orchestration. Architect and implement RAG-based systems integrating vector databases, embeddings, and knowledge retrieval pipelines. Evaluate and select AI frameworks, tools, and platforms that align with business and technical objectives. Work collaboratively with cross-functional teams to embed AI solutions into enterprise applications and workflows. Establish best practices for AI architecture, including security, governance, and ethical AI usage. Guide engineering teams in developing scalable APIs, microservices, and backend systems to support AI workloads. Optimize model performance, latency, and cost efficiency in production settings. Provide technical leadership, mentorship, and architectural direction to development teams. Engage with stakeholders to present architectural decisions and solution roadmaps, emphasizing business value. What Makes You a Great Fit:Over 10 years of experience in solution architecture, software engineering, or related fields, with significant exposure to AI/ML systems. Hands-on experience with Generative AI technologies, including LLMs, prompt engineering, and model deployment. Proven expertise in constructing and scaling RAG architectures using vector databases and retrieval pipelines. Proficiency in programming languages like Python and familiarity with AI/ML frameworks and tools. Experience with cloud platforms (AWS, Azure, or GCP) and deploying distributed, scalable systems. Strong grasp of data architecture, APIs, microservices, and system integration patterns.
About the job
Join a Leading Technology Partner as a Principal Solution Architect!
Are you passionate about pioneering innovative AI solutions? We are looking for a Principal Solution Architect to spearhead the design and implementation of transformative AI-driven solutions with a keen emphasis on Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. This pivotal role will allow you to shape comprehensive architecture, drive technological advancements, and facilitate scalable, production-ready AI platforms.
In this leadership position, you will collaborate closely with business stakeholders, product teams, and engineering leaders to convert complex requirements into secure, high-performance solutions. A profound understanding of modern AI ecosystems, alongside exceptional architectural and strategic thinking skills, is essential.