Domain AI Azure Architect
Valce Talent Solutions ·
- Category
- Architecture
Valce Talent Solutions ·
Domain AI 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) correct
AI 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 Opportunity
Design 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.
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Key Responsibilities
Design and lead AI/ML architecture, including LLM-based solutions, model orchestration, and intelligent workflows
Develop scalable architectures integrating LLMs, APIs, and enterprise systems
Define frameworks for prompt engineering, model fine-tuning, evaluation, and monitoring
Architect 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 solutions
Design API-first architectures to expose AI capabilities across platforms
Lead the integration of structured and unstructured data into AI pipelines
Establish best practices for AI governance, explainability, and responsible AI
Provide technical leadership in resolving complex architecture challenges
Support product innovation by identifying opportunities to embed automation and intelligence into workflows
Skills and Attributes for Success
AI Architecture & Design
Strong expertise in designing enterprise-grade AI solutions, including LLM integration and generative AI applications
Large Language Models (LLMs)
Experience with GPT-like models, prompt engineering, fine-tuning, embeddings, and vector databases
API & Microservices Architecture
Ability to design scalable API-driven ecosystems for AI services integration
Cloud & AI Platforms
Hands-on experience with Azure AI, AWS AI/ML, or GCP AI services
Data & AI Integration
Understanding of data pipelines, data lakes, and structured/unstructured data processing for AI use cases
Responsible AI & Governance
Knowledge of AI ethics, bias mitigation, model explainability, and compliance standards
Solution Architecture
Ability to design end-to-end enterprise solutions including security, scalability, and performance considerations
To Qualify for the Role, You Must Have
Strong experience in AI/ML architecture and solution design
Proven experience working with LLMs, generative AI, and AI platforms
Experience designing and integrating APIs and microservices
Cloud experience: Azure (preferred), AWS, or GCP
Familiarity with vector databases, embeddings, and semantic search
Understanding of Tech Risk, compliance, or SOC-related processes (preferred)
Experience in distributed systems and scalable architectures
Education
M.S. or B.S. in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field
What We Look For
Strong analytical and problem-solving skills
Innovative mindset with passion for AI and emerging technologies
Ability to lead architecture decisions and influence stakeholders
Excellent communication and collaboration skills
Ownership mindset and ability to drive initiatives independently
High attention to detail and commitment to quality
remote
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