Gen AI Solution Architect

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.</li><li>Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.</li><li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions.</li><li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li><li>Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li><li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.</li><li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.</li><li>Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.</li><li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li><li>Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.</li><li>Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.&nbsp;</li><li>Hands-on prototyping of new technology solutions by working with cross teams</li></ul>&nbsp;Requirements: <ul><li>15+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions</li><li>15+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques</li><li>15 + years of experience in Data Science, Statistics, and Machine Learning</li><li>15+ years of experience in machine learning model development, natural language processing, and data analysis;</li><li>Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.</li><li>15+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).</li><li>Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.</li><li>15+ Years of coding experience with Python, R, SQL etc.</li><li>Hands on experience working with LLM/RAG/Finetuning</li><li>Experience working on Agile projects and Agile methodology in general.</li><li>Experience in configuration management tools and defining configuration management schema</li><li>Excellent problem solving, communications, and teamwork skills.</li><li>Exceptional presentation, visualization, and analysis skills</li></ul> Motivational/Cultural Fit <ul><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Self development.</li><li>Results driven.</li><li>Clear and concise communication both locally and globally.</li></ul> Competencies <ul><li>Values: Integrity, Accountability, Teamwork, Innovation.</li><li>Knowledge of business ethics and Ethical Sourcing Requirements.</li><li>Ability to influence at an Executive Level both internally and externally.</li><li>Ability to lead and influence peer groups both internally and externally.</li><li>Knowledge of Total Cost of Ownership methodology (TCO).</li><li>Distributor/Supplier dynamics &amp; business models.</li><li>Knowledge of critical procurement legal requirements and contracting best practices a plus.</li></ul>

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Gen AI Solution Architect

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Gen AI Solution Architect

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WhiteCrow is on a mission to connect companies with the best talent across the globe.