Job Summary: The AI Solution Architect will be responsible for translating complex businesschallenges into viable, scalable, and secure AI/ML solutions. This role requires a deepunderstanding of AI/ML methodologies, data architectures, cloud platforms, and softwareengineering best practices. The successful candidate will work closely with businessstakeholders, data scientists, ML engineers, software developers, and IT operations teams toarchitect, guide, and ensure the successful delivery of AI-powered products and services.Key Responsibilities:Strategic AI Solution Design:Collaborate with business leaders and product managers to understand businessrequirements, pain points, and opportunities where AI can deliver significant value.Design end-to-end AI/ML solution architectures, including data pipelines, model developmentframeworks, deployment strategies, and integration with existing enterprise systems.Develop architectural blueprints, technical specifications, and detailed design documents forAI/ML initiatives.Technology Selection & Evaluation:Research, evaluate, and recommend appropriate AI/ML technologies, platforms, frameworks,tools, and services (e.g., TensorFlow, PyTorch, scikit-learn, AWS SageMaker, Azure ML,Google AI Platform, MLOps tools).Make informed decisions regarding cloud, on-premises, or hybrid deployment models,considering scalability, performance, cost-effectiveness, security, and maintainability.Stay abreast of the latest advancements in AI/ML, Generative AI (LLMs, diffusion models), andrelated emerging technologies, assessing their potential impact and applicability.Technical Leadership & Guidance:Provide technical leadership and architectural guidance to data science, ML engineering, andsoftware development teams throughout the entire AI/ML lifecycle (experimentation,development, deployment, monitoring).Ensure adherence to architectural principles, coding standards, best practices in modeldevelopment, versioning, testing, and validation.Conduct architectural reviews and provide constructive feedback to ensure solution integrityand quality.Data Architecture & Management:Work closely with data engineers and data governance teams to design robust dataarchitectures that support AI/ML initiatives, ensuring data quality, accessibility, security, andethical handling.Understand and influence data collection, storage, processing, and feature engineeringstrategies relevant to AI/ML models.Scalability, Performance & Security:Design AI solutions that are highly scalable, performant, resilient, and secure, capable ofhandling large datasets and high inference volumes.Implement robust security measures and privacy-by-design principles in all AI architectures.Ethical AI & Compliance:Champion responsible AI practices, ensuring that all AI solutions are developed and deployedethically, addressing considerations such as fairness, bias mitigation, transparency, andexplainability.Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA) andindustry-specific standards.Stakeholder Communication:Effectively communicate complex technical AI concepts and architectural decisions to bothtechnical and non-technical stakeholders (including executive leadership).Manage expectations, present progress, and articulate the business value and ROI of AIsolutions.Required Qualifications:Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence,Engineering, or a related quantitative field.[X+] years of experience in solution architecture, with at least [Y+] years specifically focusedon designing and implementing AI/ML solutions in an enterprise environment.Proven expertise in designing and deploying end-to-end machine learning pipelines.Strong