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# Salesforce Developer Principal AI Engineer

- **Company:** CareerCircle
- **Location:** Irving, TX, United States
- **Experience:** Experienced
- **Salary:** $225,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cyber Security, Continuous Integration, Data Mining, Decision Support Systems, Software Design Patterns, Google Analytics, Graph Database, Python (Programming Language), Location Search Optimization, Machine Learning, Software Safety, Salesforce.Com, Software Deployment, Unstructured Data, Data Processing, Multi-Agent Systems, Swift (Programming Language), Generative AI, Containerization, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents
- **Published:** May 22, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/irving/abd9387a-7c96-4a28-9cd9-2b63c9d2cfbd

## About the Role

AI Safety
Leadership
Governance
Statistics
Ethical AI
Agentic AI
Testability
Red Teaming
Communication
Risk Appetite
Responsible AI
Pharmaceuticals
Computer Science
Machine Learning, * Degree or equivalent and typically requires 13+ years, with 8+ years, of direct work related experience. Less years required if has relevant Master's or Doctorate qualifications., * Extensive experience in AI/ML engineering, architecture, or applied research with at least 3 years focused on AI governance, fairness, or safety.

 * Deep expertise in at least two: bias/fairness measurement, explainability methods (SHAP, LIME, counterfactual), adversarial robustness, differential privacy, or AI safety alignment.
 * Demonstrated experience authoring enterprise-level AI standards, policies, or reference architectures adopted across multiple business units.
 * Strong working knowledge of regulatory frameworks: NIST AI RMF, EU AI Act, ISO 42001, SOC 2 AI considerations, and sector-specific requirements (healthcare, financial services).
 * Experience presenting technical governance topics to executive leadership and board-level audiences.

Preferred Experience/Skills:

 * Experience with agentic AI architectures and the unique governance challenges they present (tool-use authorization, multi-agent orchestration, autonomous decision boundaries).
 * Contributions to responsible AI open-source projects, publications, or industry standards bodies.
 * Healthcare or pharmaceutical industry experience.
 * Master's degree (in Computer Science, AI/ML, Statistics, or related quantitative field) or PhD preferred.

## Description

External Auditing
Financial Services
Industry Standards
Technical Authority
Multi-Agent Systems
Regulatory Compliance
Regulatory Frameworks
Architectural Patterns
Artificial Intelligence
Regulatory Requirements
Enterprise Architecture
Software Design Patterns
Authorization (Computing)
Ethical Standards And Conduct, The Principal AI Architect, Responsible AI is the enterprise's chief technical authority on responsible AI design and governance-by-architecture. This individual defines the standards, reference architectures, and technical guardrails that ensure every AI/ML system, from classical ML to agentic AI, meets regulatory, ethical, and quality thresholds before reaching production. The role bridges deep technical fluency with enterprise strategy, translating board-level risk appetite into enforceable architectural patterns across the full AI lifecycle., * Define and maintain enterprise Responsible AI standards, policies, and technical guidelines covering fairness, explainability, robustness, privacy, and safety across all AI/ML modalities (predictive, generative, agentic).

 * Establish model risk tiering frameworks aligned with regulatory requirements (e.g., EU AI Act risk categories, NIST AI RMF, FDA/SaMD where applicable) and map technical controls to each tier.
 * Lead Enterprise Architecture Review Board (EARB) reviews for AI/ML solutions, ensuring compliance with responsible AI standards before production deployment.
 * Partner with Legal, Compliance, Privacy, and InfoSec to translate regulatory and contractual obligations into testable technical requirements.
 * Develop and evangelize an enterprise AI ethics review process including impact assessments, red-teaming protocols, and human-in-the-loop escalation criteria for high-risk use cases.
 * Mentor and coach ML Engineers, Data Scientists, and Platform Engineers on responsible AI patterns and anti-patterns; create reusable design patterns, templates, and decision frameworks.
 * Represent the enterprise's responsible AI posture to external auditors, regulators, customers, and industry working groups.
 * Track the evolving responsible AI landscape (tooling, regulation, academic research) and recommend adoption of emerging capabilities., Irving, TX*On-Site
Tooling
Research
AI Safety
Leadership
Governance
Statistics
Ethical AI
Agentic AI
Testability
Red Teaming
Communication
Risk Appetite
Responsible AI
Pharmaceuticals
Computer Science
Machine Learning
Applied Research
External Auditing
Financial Services
Industry Standards
Technical Authority
Multi-Agent Systems
Regulatory Compliance
Regulatory Frameworks
Architectural Patterns
Artificial Intelligence
Regulatory Requirements
Enterprise Architecture
Software Design Patterns
Authorization (Computing)
Ethical Standards And Conduct
+0
Ai Data Scientist Sr.
PNC
Pittsburgh, PA | Birmingham, AL | Cleveland, OH | Dallas, TX*Hybrid
Planning
Management
Automation
Governance
Algorithms
Data Mining
Coordinating
Data Science
Risk Management
Solution Design
Data Processing
Customer Service
Business Process
Machine Learning
Unstructured Data
Business Decisions
Business Objectives
Process Optimization
Advanced Mathematics
Workplace Inclusivity
Artificial Intelligence
Data-Driven Decision Making
Swift (Programming Language)
Enterprise Risk Management (ERM)
Generative Artificial Intelligence
+0

Google Advanced Data Analytics

Google Business Intelligence

Google Data Analytics

Google Project Management

Salesforce Developer
Principal AI Engineer
CBRE
Richardson, TX*On-Site
Sales
CI/CD
CrewAI
LangChain
Operations
Leadership
Consulting
Management
Innovation
Communication
Observability
Mortgage Loans
Responsible AI
Microsoft Azure
Trustworthiness
Knowledge Graph
Machine Learning
Containerization
Platform Mindset
Edge Intelligence
Project Management
Influencing Skills
Program Management
Workflow Management
Amazon Web Services
Facility Management
Resource Allocation
Predictive Modeling
Property Management
Software Engineering
Lifecycle Management
Investment Management
Commercial Real Estate
Artificial Intelligence
Real Estate Investments
Concept Drift Detection
Software Design Patterns
Python (Programming Language)
Generative Artificial Intelligence
MLOps (Machine Learning Operations)
Artificial Intelligence Infrastructure
+0


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