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Domain AI Azure Architect

Valce Talent Solutions

24d ago

0DevUnited Stateshimalayas
AI-ArchitectureMachine-Learning-EngineeringCloud-ArchitectureTech-Risk-SolutionsSOC-ReportingAzure-AI-Solutions-ArchitectAzure-ArchitectMicrosoft-Azure-ArchitectCloud-AI-ArchitectAzure-Cloud-ArchitectSenior

Job Description

DomainAI Azure Architect AI ARCHITECT to Build a new product for tech risk which will heavily use a.i.Skills required:be LLM, API, A.I architecture and design expertise.ASN - SOC Reporting (INV) correctAI Architect – Tech Risk (ASN – SOC Reporting Product)Fueled by strategic investment in technology and innovation, Client Technology is focused on driving growth opportunities and solving complex business challenges through the development of robust platforms and next-generation, AI-powered products.As an AI Architect, you will lead the design and development of a new product within Technology Risk (ASN – SOC Reporting), leveraging advanced Artificial Intelligence, Large Language Models (LLMs), and API-driven architectures.You will work closely with technologists, data specialists, and business stakeholders, combining deep domain expertise with cutting-edge AI capabilities to deliver scalable, intelligent solutions. This role places you at the forefront of integrating AI into enterprise platforms, enabling smarter automation, analytics, and decision-making.The OpportunityDesign and implement end-to-end AI architecture for a new product within Tech Risk, focused on SOC reporting and intelligent automation.Define and govern AI models, pipelines, and infrastructure, ensuring scalability, security, and compliance with enterprise and regulatory standards.Drive innovation by incorporating LLMs, generative AI, and advanced analytics into product capabilities.Key ResponsibilitiesDesign and lead AI/ML architecture, including LLM-based solutions, model orchestration, and intelligent workflowsDevelop scalable architectures integrating LLMs, APIs, and enterprise systemsDefine frameworks for prompt engineering, model fine-tuning, evaluation, and monitoringArchitect end-to-end AI platforms across cloud environments (Azure, AWS, GCP)Ensure AI solutions align with data privacy, security, and compliance (Tech Risk / SOC requirements)Collaborate with cross-functional teams to translate business requirements into AI-driven solutionsDesign API-first architectures to expose AI capabilities across platformsLead the integration of structured and unstructured data into AI pipelinesEstablish best practices for AI governance, explainability, and responsible AIProvide technical leadership in resolving complex architecture challengesSupport product innovation by identifying opportunities to embed automation and intelligence into workflowsSkills and Attributes for SuccessAI Architecture & DesignStrong expertise in designing enterprise-grade AI solutions, including LLM integration and generative AI applicationsLarge Language Models (LLMs)Experience with GPT-like models, prompt engineering, fine-tuning, embeddings, and vector databasesAPI & Microservices ArchitectureAbility to design scalable API-driven ecosystems for AI services integrationCloud & AI PlatformsHands-on experience with Azure AI, AWS AI/ML, or GCP AI servicesData & AI IntegrationUnderstanding of data pipelines, data lakes, and structured/unstructured data processing for AI use casesResponsible AI & GovernanceKnowledge of AI ethics, bias mitigation, model explainability, and compliance standardsSolution ArchitectureAbility to design end-to-end enterprise solutions including security, scalability, and performance considerationsTo Qualify for the Role, You Must HaveStrong experience in AI/ML architecture and solution designProven experience working with LLMs, generative AI, and AI platformsExperience designing and integrating APIs and microservicesCloud experience: Azure (preferred), AWS, or GCPFamiliarity with vector databases, embeddings, and semantic searchUnderstanding of Tech Risk, compliance, or SOC-related processes (preferred)Experience in distributed systems and scalable architecturesEducationM.S. or B.S. in Computer Science, Artificial Intelligence, Data Science, Engineering, or related fieldWhat We Look ForStrong analytical and problem-solving skillsInnovative mindset with passion for AI and emerging technologiesAbility to lead architecture decisions and influence stakeholdersExcellent communication and collaboration skillsOwnership mindset and ability to drive initiatives independentlyHigh attention to detail and commitment to qualityremoteadvanced englishOriginally posted on Himalayas