AI Architect

SUMMARY

Natus Sensory is seeking a senior AI Architect to design and deploy a secure, scalable enterprise AI ecosystem that improves operational efficiency, data accuracy, and decision-making across the organization.

This role will focus on building and deploying agentic AI solutions and copilots that integrate with core enterprise systems (Salesforce Revenue Cloud, ERP, finance, and M365). The ideal candidate has hands-on experience delivering AI agents in production , particularly using Microsoft Copilot Studio, Azure AI, and modern AI orchestration frameworks .

This is a high-impact role responsible for reducing manual work, preventing operational errors, and enabling AI-driven automation across business functions in a governed, compliant environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Enterprise AI Architecture (20%)

Design and implement a Microsoft-aligned enterprise AI architecture (Azure OpenAI, Fabric, Power Platform)

Define scalable, reusable AI patterns across business functions

Establish reference architectures for enterprise AI adoption

Agentic AI & Copilot Development (45%)

Design, build, and deploy AI agents using Copilot Studio and comparable frameworks

Develop enterprise copilots integrated with Salesforce, ERP, and M365

Implement multi-agent workflows capable of:

Multi-step reasoning and decision-making

Cross-system execution via APIs

Build agent capabilities including:

Tool orchestration

Prompt engineering strategies

Memory/context management

Failure handling and fallback logic

Manage agent lifecycle using GitHub (version control, CI/CD) and enterprise deployment pipelines

AI-Dirven Operational Transformation (10%)

Design, build, and deploy AI agents using Copilot Studio and comparable frameworks

Improve quote accuracy and pricing intelligence (Salesforce Revenue Cloud)

Detect and prevent order failures and integration errors

Automate reporting, dashboards, and executive summaries

Enable AI-driven email triage, summarization, and response drafting

Support forecasting, anomaly detection, and planning

Secure AI & Data Integration (10%)

Integrate AI systems with:Salesforce (Revenue Cloud, CRM)

ERP systems (Oracle EBS or similar)

Finance and reporting systems

Build API-first, event-driven architectures

Implement secure AI orchestration layers (MCP-like or equivalent)

Ensure governed access to sensitive and regulated

Data Governance, Security & Compliance (10%)

Define and execute the enterprise AI roadmap

Act as a strategic advisor to IT and business leadership

Guide engineering teams on AI best practices and implementation

Evaluate and standardize AI tools, frameworks, and vendors

Drive cross-functional adoption of AI

Collaboration & Communication (5%)

Provide technical training and knowledge transfer to end users and team members

Communicate effectively with stakeholders at all organizational levels

Participate in global IT meetings and contribute to strategic planning

Travel Required: You may be required to travel from time to time with this role.

QUALIFICATION REQUIREMENTS

10+ years in software engineering, architecture, or enterprise systems

5+ years delivering AI/ML or LLM-based solutions in production

Proven experience designing and deploying AI agents or copilots

Salesforce (Revenue Cloud experience strongly preferred)

ERP systems (Oracle EBS or similar)

Enterprise data governance and security frameworks

Experience in regulated environments (medical/device/healthcare preferred)

Education and/or Experience

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent combination of education and experience)Experience in healthcare, medical device, or regulated industries is highly desirable

Language Skills: Fluent in English (written and spoken) - mandatory

Ability to explain technical concepts to non-technical stakeholders

Strong documentation and technical writing abilities

Portfolio Requirement (Mandatory)

Deployed AI agents or enterprise copilots

Multi-step or multi-agent workflows integrated with business systems

API-integrated AI solutions interacting with enterprise platforms

Preferred evidence:GitHub repositories or documented implementations

Architecture diagrams and technical walkthroughs

Demonstrated business impact (automation gains, error reduction, etc.)

What We Offer

• Opportunity to build a mission-critical enterprise AI platform

• High-visibility role with executive leadership

• Direct impact on operations, efficiency, and scalability

• Flexible hybrid/remote