Senior AI Architect

Key Responsibilities **Solution Design & Architecture** 1. Design and develop AI-based architectures utilizing Generative AI, OpenAI APIs, Azure AI, and ML models to address complex business challenges. 2. Architect solutions that seamlessly integrate AI/ML models with IoT platforms and Digital Twin frameworks, enabling real-time data processing and predictive insights. 3. Oversee the implementation of Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven applications. **Pre-Sales and Solutioning** 1. Collaborate with the sales team to analyze client requirements, deliver technical presentations, and craft customized AI solutions aligned with business goals. 2. Develop comprehensive proposals and Statements of Work (SOWs) that clearly communicate AI-driven value propositions, leveraging technologies such as Azure OpenAI, Azure ML, and IoT. 3. Create proof of concepts (POCs) and demos to demonstrate AI and machine learning capabilities, supporting pre-sales initiatives and fostering new business opportunities. **Proposal Development** 1. Lead the creation of technical proposals for RFPs and RFIs, ensuring clarity in AI/ML architecture and solution strategies. 2. Collaborate with sales, product, and engineering teams to prepare detailed cost and resource estimates for AI projects. 3. Translate client needs into actionable AI solutions with precise technical specifications, timelines, and deliverables. **Client Engagement & Technical Leadership** 1. Serve as a technical authority during pre-sales meetings and workshops, addressing client inquiries, gathering requirements, and offering AI-driven recommendations. 2. Lead discussions on AI model deployment, cloud architecture, and integration with enterprise systems, leveraging platforms like Azure IoT, Azure Digital Twins, and Azure Cognitive Services. 3. Ensure proposed solutions are innovative, scalable, and aligned with the latest AI and machine learning advancements. **Cloud, AI, and IoT Integration** 1. Design and implement cloud-based AI solutions using Azure AI services, ensuring seamless integration with IoT ecosystems and Digital Twin frameworks. 2. Guide the integration of AI models with real-time IoT data streams to enable predictive analytics, optimization, and automated decision-making in complex environments. **Skills and Experiences** Experience 1. Extensive background in AI/ML solution design, including hands-on experience with Generative AI, OpenAI models, and Azure AI. 2. Proven expertise in pre-sales, solutioning, and technical proposal writing for AI-driven projects. 3. Comprehensive experience with IoT platforms, Digital Twin frameworks, and cloud-based environments, particularly in Azure. 4. Skilled in collaborating with stakeholders to define technical visions, high-level architectures, and delivery roadmaps for large-scale programs involving data platforming or re-platforming using tools like Azure Databricks and Synapse. 5. Expertise in designing and delivering large-scale data platform solutions using approaches like Lakehouse, Data Mesh, and Cloud Scale Analytics. **Technical Skills** 1. Proficiency in programming languages such as Python and R, with practical experience in AI/ML model development. 2. Expertise in Azure Machine Learning, Azure OpenAI, and integrating AI with IoT ecosystems. 3. Knowledge of Retrieval-Augmented Generation (RAG) frameworks for enhancing AI solutions with external data sources. 4. Hands-on experience with Azure Digital Twins, Azure IoT Hub, and cloud-native AI solution architectures. 5. Deep understanding of architectural design principles for performance, security, and reliability in large-scale solutions. **Pre-Sales and Business Development** 1. Extensive experience in pre-sales activities, including leading technical presentations, creating POCs, and designing tailored AI solutions for clients. 2. Proven ability to develop compelling proposals, including RFP responses, technical designs, and pricing strategies. **Soft Skills** 1. Excellent communication and presentation skills, capable of explaining complex AI concepts to diverse audiences, both technical and non-technical. 2. Strong leadership and collaboration skills to coordinate with cross-functional teams and clients from various industries. 3. Demonstrated resilience, adaptability, and flexibility in dynamic environments. 4. Consultative and collaborative mindset, with a passion for technology and innovation. **Preferred Qualifications** 1. Professional certifications such as Azure AI Engineer, Azure Solutions Architect, or Azure Data Scientist. 2. Hands-on experience with MLOps practices, including the deployment and lifecycle management of AI models. 3. Advanced knowledge of Digital Twin technologies and their applications across industries. **About You** Key Traits for Success in this Role: 1. Consultative, collaborative, and curious approach to problem-solving. 2. Resilient, adaptable, and flexible in navigating challenges. 3. Humble leadership style, strong negotiation skills, and relationship-building expertise. 4. Passionate about technology and driven to engage with and advise clients effectively.