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About the Role

Cotality is seeking a Senior AI Architect to design and deliver AI systems for its property intelligence platform. This role involves building internal agentic systems and external AI integration architecture, ensuring scalability, security, and coherence across the product portfolio. You will define standards, build foundational components, and ensure the architecture functions effectively under client load.

Responsibilities

Design and build agentic AI systems, including multi-agent frameworks, orchestration layers, memory and retrieval architectures, and tool-based reasoning pipelines.
Own the external AI integration architecture, API gateway configuration, MCP server patterns, authentication and authorization flows, tool schema standards, and reference architecture for exposing APIs as agent-consumable tools.
Pioneer Agent Experience (AX) design as a first-class methodology, optimizing APIs, tool descriptions, and data outputs for LLM comprehension.
Establish and enforce technical standards for AI agent consumption of Cotality's data products, focusing on tool description quality, input/output contracts, error handling, and response metadata.
Architect security and data provenance controls across the integration layer, including JWT claim schema design, authorization patterns, audit logging, and response boundary enforcement.
Design and implement observability and telemetry for AI systems to monitor token consumption, latency, error rates, prompt drift, LLM costs, and response quality.
Establish CI/CD pipelines and evaluation frameworks for AI agents to measure accuracy, hallucination rates, and performance regressions.
Optimize AI workload architecture by designing deployment strategies that decouple large model weights from application code.
Scale inference and orchestration by architecting high-throughput AI backends using specialized model servers on Kubernetes.
Align application design with cloud economics by building cost-aware AI systems and designing agentic workflows that handle infrastructure scaling events gracefully.
Apply strong backend engineering practices to the AI layer, delivering production-quality, maintainable code in cloud or containerized environments.
Define the reference architecture and MCP server build patterns for product teams exposing APIs as agent-consumable tools.
Partner closely with data engineers, product managers, and domain experts to ensure AI systems produce accurate, traceable, and operationally meaningful outputs.
Review implementations, conduct architecture design reviews, and maintain technical quality as the connector portfolio grows.
Produce architecture decision records, technical standards, and reference documentation for engineering teams.

Requirements

7 to 10 years of software engineering or architecture experience.
Strong background in API platforms and distributed systems.
Recent proven depth building LLM-powered or agentic AI applications.
Strong backend development background in Python, Java, or .NET.
Expert understanding of object-oriented design and distributed microservices.
Proficiency in Python or demonstrably capable of transitioning into it for agentic and tooling layers.
Hands-on experience with agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen.
Strong command of prompt engineering, context management, and tool integration.
Solid foundation in API architecture and authentication patterns, including REST, OAuth 2.0, JWT design, and API gateway technologies.
Understanding of how security is enforced across service boundaries.
Working knowledge of Agent Experience (AX) design principles.
Familiarity with AI observability tooling and operational differences between monitoring traditional software and non-deterministic LLM systems.
Experience with CI/CD practices and applying evaluation and testing frameworks to non-deterministic AI systems.
Clear, precise written communication with the ability to produce technical documentation for non-specialist stakeholders.
Experience with MCP (Model Context Protocol), LiteLLM, or LLM gateway and proxy patterns.
Familiarity with Snowflake, Databricks, or GCP.
Hands-on experience with containerized deployment environments including Docker, Kubernetes, and Terraform or equivalent IaC tooling.
Strong understanding of AI infrastructure patterns, including Kubernetes GPU scheduling, Terraform for heterogeneous node pools, and containerization best practices for CUDA or ROCm environments.
Background in regulated industries such as insurance, financial services, or healthcare.
Experience with multi-cloud architectures and cross-cloud connectivity patterns.
Exposure to developer experience tooling, API documentation platforms, sandbox environments, or SDK design.

Skills

AI Systems Design
Agentic AI Frameworks (LangChain, LlamaIndex, AutoGen)
Prompt Engineering
Context Management
Tool Integration
API Architecture
Authentication Patterns (REST, OAuth 2.0, JWT)
API Gateway Technologies (Apigee, Kong)
Agent Experience (AX) Design
AI Observability Tooling
CI/CD Practices
Testing Frameworks for AI
Python
Java
.NET
Object-Oriented Design
Distributed Microservices
Containerized Deployment (Docker, Kubernetes)
Infrastructure as Code (Terraform)
AI Infrastructure Patterns
Multi-cloud Architectures
Cross-cloud Connectivity
Developer Experience Tooling

Location

Remote

Work Type

Full-time

Experience Level

Senior

Salary/Compensations

134,400 - 200,000 USD

Benefits

Flexible working model
Competitive time off
Generous PTO
11 paid holidays
Well-being time off
Volunteer time off
Up to 16 weeks of fully paid parental leave
Baby stipend
Multiple medical plan options
Mental health and wellness support
401(k) with company match
Vesting after one year
$400 annual well-being stipend
Tuition assistance up to $5,250
Recognition Rewards
Referral bonuses
Exclusive discounts

About the Company

Cotality is the insurance industry's leading provider of property intelligence, risk analytics, and workflow solutions.
Our data powers underwriting, claims, and catastrophe risk decisions for the nation's largest carriers.
We are building the AI-first data foundation that defines how the industry consumes property intelligence.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking.
It's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy.
We know our people are our greatest asset.
At Cotality, you can be yourself, lift people up and make an impact.
By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Equal Opportunity

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law.
Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values.
We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package.
We are better together when we support and recognize our differences.