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Solutions Architect - AI Platform

Ultimus LeverPoint

Remote • Today

Easy Apply

Full-time

100,000 - 250,000

Cloud Security Engineer - AI Platform

Ultimus LeverPoint

Remote • Today

Easy Apply

Full-time

100,000 - 250,000

DevOps Engineer - AI Platform

Ultimus LeverPoint

Remote • Today

Easy Apply

Full-time

100,000 - 250,000

Job Details

Skills

Azure
Cloud Architecture

Summary

As Solution Architect you own the technical design of the enterprise AI platform. You turn our target architecture into a buildable plan, make the key design decisions, and make sure every workflow team builds on the same shared foundation rather than reinventing it.

Duties

Own the end-to-end architecture of the enterprise AI platform on Azure: AI gateway and model routing, generative AI and machine learning services, agent orchestration, memory and retrieval, data integration, guardrails, security, evaluation and observability.
Define the minimum platform needed to start building the first workflows, then lay out the roadmap for later capabilities such as a semantic layer, centralized orchestration and an evaluation framework.
Set the standards every workflow team follows: how AI solutions and agents are onboarded, how autonomy and human review are set per workflow, how tenancy and data isolation work, and how models and agents are evaluated.
Design integrations with our core fund administration systems, Snowflake data platform, MCP servers, document stores and third-party APIs.
Partner with security, compliance and risk teams so the platform meets our regulatory, data-protection and audit requirements from day one.
Review designs from the AI Development pods and make build-versus-buy and vendor recommendations.
Work alongside external partners during the initial build and make sure knowledge transfers to the Ultimus team.

Requirements

8+ years in software or cloud architecture, including 2+ years designing production AI, ML or LLM-based systems. •
Deep hands-on experience with Microsoft Azure (AKS, API Management, networking, identity and Key Vault). •
Working knowledge of modern AI application patterns: machine learning operations, retrieval-augmented generation, agent orchestration, tool calling, prompt and context management, and evaluation. •
Experience designing secure, multi-tenant platforms that handle sensitive financial or personal data. •
Strong data architecture background, including data warehouses and integration patterns. • Ability to explain technical trade-offs clearly to engineers, operations leaders and executives. Nice to have • E
xperience with agent frameworks and protocols (for example, Model Context Protocol, LangGraph, Semantic Kernel or similar). •
Background in financial services, fund administration or asset management. •
Experience with Snowflake and knowledge graph or semantic layer design. •
Azure Solutions Architect Expert or similar certification.

Our technology- Microsoft Azure (AKS, API Management, Service Bus, Key Vault, Entra ID, Azure AI services), Snowflake, MCP servers, Python and .NET, Azure DevOps, and leading large language models.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1eb3c9
Position Id: 9139842
Posted 54 minutes ago

Fitment

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Contact the job poster

Steve Fites

Recruiter @ Ultimus LeverPoint

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Job Details

Skills

Azure
Cloud Architecture

Summary

Duties

Own the end-to-end architecture of the enterprise AI platform on Azure: AI gateway and model routing, generative AI and machine learning services, agent orchestration, memory and retrieval, data integration, guardrails, security, evaluation and observability.
Define the minimum platform needed to start building the first workflows, then lay out the roadmap for later capabilities such as a semantic layer, centralized orchestration and an evaluation framework.
Set the standards every workflow team follows: how AI solutions and agents are onboarded, how autonomy and human review are set per workflow, how tenancy and data isolation work, and how models and agents are evaluated.
Design integrations with our core fund administration systems, Snowflake data platform, MCP servers, document stores and third-party APIs.
Partner with security, compliance and risk teams so the platform meets our regulatory, data-protection and audit requirements from day one.
Review designs from the AI Development pods and make build-versus-buy and vendor recommendations.
Work alongside external partners during the initial build and make sure knowledge transfers to the Ultimus team.

Requirements

8+ years in software or cloud architecture, including 2+ years designing production AI, ML or LLM-based systems. •
Deep hands-on experience with Microsoft Azure (AKS, API Management, networking, identity and Key Vault). •
Working knowledge of modern AI application patterns: machine learning operations, retrieval-augmented generation, agent orchestration, tool calling, prompt and context management, and evaluation. •
Experience designing secure, multi-tenant platforms that handle sensitive financial or personal data. •
Strong data architecture background, including data warehouses and integration patterns. • Ability to explain technical trade-offs clearly to engineers, operations leaders and executives. Nice to have • E
xperience with agent frameworks and protocols (for example, Model Context Protocol, LangGraph, Semantic Kernel or similar). •
Background in financial services, fund administration or asset management. •
Experience with Snowflake and knowledge graph or semantic layer design. •
Azure Solutions Architect Expert or similar certification.

Dice Id: RTX1eb3c9
Position Id: 9139842
Posted 54 minutes ago

Fitment