Enterprise AI Architect

Velocity Search Group Inc

New York, NY
22 days ago

$220,000–$300,000 Per Year

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Skills

Access Controlunmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Architectural Designunmatched
Architectural Servicesunmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Asset Managementunmatched
Automationunmatched
Business Solutionsunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Distributed Computingunmatched
Documentationunmatched
Emerging Technologyunmatched
Enterprise Application Integration (EAI)unmatched
Enterprise Architectureunmatched
Enterprise Protectionunmatched
Financial Servicesunmatched
GitHubunmatched
Information Technology & Information Systemsunmatched
Internet Securityunmatched
Kernel Programmingunmatched
Leadershipunmatched
MCP - Microsoft Certified Professionalunmatched
Machine Learningunmatched
Maintain Complianceunmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Middlewareunmatched
Operational Strategyunmatched
Operational Supportunmatched
Privacy Controlsunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Productivity Managementunmatched
Programming Toolsunmatched
Proof of Conceptunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Regulationsunmatched
Requirements Managementunmatched
Risk Managementunmatched
Security Architectureunmatched
Semantic Searchunmatched
Software Developmentunmatched
Software Engineeringunmatched
TOGAF - The Open Group Architecture Frameworkunmatched
Technical Leadershipunmatched

Description

Our client a leading asset management firm, located in New York City is looking to hire an Enterprise AI Architect. This is a Full Time Position. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Qualified candidates should send their resumes (Word Format) along with salary expectations to Daniel@velocitysgi.com .

The AI Enterprise Architect will design, develop, and lead enterprise AI and intelligent automation solutions across the organization. This role will partner with business stakeholders, application teams, enterprise architecture, infrastructure, and cybersecurity teams to define scalable AI strategies and deliver intelligent solutions that improve business capabilities, operational efficiency, and decision-making. The ideal candidate combines strong enterprise architecture expertise with hands-on experience in Generative AI, enterprise AI platforms such as ChatGPT Enterprise and Claude, MCP/server-based AI integrations, Azure AI Foundry, cloud technologies, AI governance, and enterprise application integration.

RESPONSIBILITIES

Design and architect enterprise AI and intelligent automation solutions leveraging Azure AI Services, Azure AI Foundry, OpenAI, Microsoft Fabric, and cloud-native technologies.
Lead the implementation of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), AI agents, copilots, and workflow automation solutions.
Design and implement MCP (Model Context Protocol) servers, reusable AI integration frameworks, and secure connectivity patterns that connect enterprise AI platforms with internal systems, APIs, and data sources.
Collaborate directly with business users to co-create and refine custom Skills, GPTs, and AI agents, translating business requirements into effective AI solutions and empowering users with self-service capabilities.
Establish and lead enterprise AI architecture and governance frameworks, including responsible AI standards, model and prompt governance, security controls, compliance, monitoring, lifecycle management, and AI risk management practices.
Develop proof-of-concepts, prototypes, and reference architectures for AI-powered business solutions.
Provide architectural leadership and technical guidance for AI orchestration, prompt engineering, embeddings, vector search, and enterprise AI integration patterns.
Collaborate with infrastructure, cybersecurity, application development, and data teams to support enterprise AI platform readiness and operational support.
Evaluate emerging AI technologies, MCP standards, governance models, and enterprise platforms to support the organization's AI strategy and roadmap.
Leverage AI-assisted development tools such as GitHub Copilot, Claude, GPT, or similar technologies to improve engineering efficiency and solution quality.

QUALIFICATIONS

Experience in enterprise solution architecture, software engineering, cloud architecture, or AI/ML engineering roles.
Hands-on experience designing and implementing AI, machine learning, or Generative AI solutions in enterprise environments.
Strong expertise with Azure cloud and AI technologies including Azure OpenAI, Azure AI Foundry, Azure AI Services, Azure Functions, AKS, Azure Storage, and API Management.
Hands-on experience with Azure AI Foundry including prompt flows, AI agents, evaluations, and AI lifecycle management.
Experience designing and implementing Retrieval-Augmented Generation (RAG), vector search, embeddings, prompt engineering, and AI agent orchestration solutions.
Experience designing and developing MCP (Model Context Protocol) servers, AI integration services, or similar middleware frameworks for enterprise AI platforms.
Experience integrating LLM platforms with enterprise APIs, databases, document repositories, and business applications.
Experience implementing enterprise AI governance, responsible AI frameworks, security controls, and compliance practices.
Understanding of enterprise security architecture, data privacy, access controls, and regulatory considerations for AI platforms in financial services environments.
Hands-on experience with Python, REST APIs, SDK integrations, automation frameworks, and CI/CD practices.
Financial services or asset management industry experience is preferred.

Strong understanding of Generative AI, LLM orchestration, prompt engineering, AI agents, MCP integration patterns, and enterprise AI workflows.
Knowledge of Azure AI Foundry capabilities including prompt flows, AI agents, model evaluations, safety controls, and AI governance.
Strong understanding of API integrations, cloud-native architecture, distributed systems, and enterprise application integration patterns.
Knowledge of enterprise AI governance, responsible AI practices, AI security, privacy, model governance, and AI risk management.
Understanding of vector databases, semantic search, embeddings, and enterprise AI retrieval patterns.
Familiarity with AI orchestration frameworks and libraries such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
Familiarity with vector databases and enterprise search platforms such as Pinecone, Azure AI Search, Weaviate, ChromaDB, or similar technologies.
Relevant cloud, AI, governance, or architecture certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF, or equivalent certifications are preferred.
Strong analytical, communication, presentation, documentation, and problem-solving skills.
Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
Comfort leveraging AI-assisted development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar platforms to improve development productivity and solution delivery.

EDUCATION
Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, Engineering, or a related field.

Salary up to 250k.

Numbers & Facts

Location	New York, NY
Salary	$220,000–$300,000 Per Year

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