AI Engineer

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Job Type

Full-time

Description

Position Summary R3 is seeking an AI Engineer to design, implement, secure, and drive adoption of enterprise AI solutions. This role will have a strong focus on Microsoft Copilot, Copilot Studio, Azure AI, and Anthropic Claude, combining hands-on AI engineering with cybersecurity, data protection, governance, and user enablement. The ideal candidate understands that successful AI transformation requires more than deploying technology. This individual will help ensure AI solutions are secure, practical, adopted by users, and deliver measurable business value. The AI Engineer will work across technology, security, compliance, Professional Services, and business teams to turn emerging AI capabilities into scalable solutions for R3 and its customers.

Responsibilities:

AI Engineering & Solutions

• Design, develop, and deploy enterprise AI solutions using Microsoft 365 Copilot, Copilot Studio, Azure AI, Azure OpenAI, and Anthropic Claude.
• Build AI agents, assistants, automations, and Retrieval-Augmented Generation (RAG) solutions grounded in enterprise data.
• Integrate AI solutions with Microsoft 365, Teams, SharePoint, Power Platform, Azure, APIs, and other enterprise platforms.
• Develop and optimize prompts, agent instructions, knowledge sources, workflows, and AI orchestration.
• Evaluate emerging AI technologies and determine their practical application within R3 and customer environments.

AI Security, Data Protection & Governance

• Understand and address the cybersecurity, privacy, and compliance risks introduced by generative AI.
• Design solutions that protect confidential, sensitive, regulated, and customer data from inappropriate access, disclosure, or use.
• Apply security and governance controls using technologies such as Microsoft Purview, Microsoft Defender, Entra ID, Data Loss Prevention (DLP), sensitivity labels, and Conditional Access.
• Help establish AI governance standards covering approved platforms, acceptable use, data handling, identity, access, third-party AI services, and responsible AI.
• Understand and apply relevant frameworks and requirements such as CMMC, NIST 800-171, NIST AI RMF, SOC 2, and ISO 27001 where appropriate.

User Adoption & Training

• Drive adoption of Microsoft Copilot, Claude, and other approved AI technologies across business teams.
• Develop and deliver role-based AI training, workshops, demonstrations, office hours, and hands-on enablement sessions.
• Create reusable prompt libraries, use-case playbooks, quick-reference materials, and responsible AI guidance.
• Help employees understand what information can and cannot be safely shared with AI platforms.
• Identify high-value use cases by working directly with business teams to understand workflows, challenges, and opportunities for improvement.
• Establish and support AI champions and power-user communities to accelerate adoption and share best practices.
• Gather user feedback and usage insights to continuously improve AI solutions and training.

Business Value & Continuous Improvement

• Establish baseline measurements and KPIs for significant AI initiatives before deployment.
• Measure adoption, productivity, quality, security, and business outcomes following implementation.
• Identify opportunities to improve existing AI solutions based on usage, user feedback, security requirements, and technological advancements.
• Translate technical AI capabilities into clear business outcomes for customers, users, and executive leadership.

How Success Will Be Measured

Success in this role will be measured across four key areas:

• Build Deliver reliable, scalable AI solutions that solve meaningful business problems and can be operationalized across R3 and customer environments.
• Protect Ensure AI solutions maintain appropriate security, identity, privacy, compliance, and data-protection controls while reducing the risk of inappropriate AI usage or data exposure.
• Adopt Increase active usage and employee proficiency through effective training, AI champions, practical use cases, and ongoing enablement. Measures may include active users, repeat usage, training participation, user satisfaction, and departmental adoption.
• Prove Demonstrate measurable business value through outcomes such as hours saved, reduced manual effort, faster service delivery, improved response quality, increased employee productivity, improved customer experience, or new revenue opportunities.

The Right Candidate The successful AI Engineer will be equally comfortable building an AI agent, evaluating its security implications, teaching employees how to use it, and demonstrating whether it is delivering measurable value. The right individual will combine technical curiosity with a strong security mindset and a passion for helping people embrace new technology. They will play a key role in enabling R3 and its customers to adopt AI responsibly, securely, and in ways that produce meaningful business results.

Requirements

Qualifications

• Experience designing, developing, or implementing enterprise AI, cloud, automation, or software solutions.
• Strong knowledge of Microsoft 365 Copilot and Copilot Studio, with experience integrating AI into Microsoft 365 environments.
• Experience with Anthropic Claude and modern large language models.
• Working knowledge of Azure AI, Azure OpenAI, RAG, AI agents, prompt engineering, APIs, and enterprise data integration.
• Knowledge of Microsoft security and compliance technologies, particularly Purview, Defender, Entra ID, DLP, and Information Protection.
• Understanding of AI security risks including data leakage, oversharing, excessive permissions, prompt injection, sensitive information exposure, and inappropriate use of public AI tools.
• Experience with Python, PowerShell, REST APIs, JavaScript, C#, Power Platform, or similar technologies is preferred.
• Strong communication skills with the ability to explain AI concepts to both technical and non-technical audiences.
• Ability to lead training and confidently engage with customers, employees, technical teams, and executive leadership.

Preferred Qualifications

• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Cybersecurity Architect Expert
• Experience with Microsoft 365 security and compliance solutions
• Experience supporting regulated or compliance-focused environments, including CMMC and the Defense Industrial Base (DIB)
• Consulting or Professional Services experience
• Experience developing AI adoption, governance, or organizational change-management programs

The salary range for this position is $170,000 -$185,000/year. The base salary range for this position is an estimate and may vary depending on relevant factors, including but not limited to education, experience, certifications, and skillset, as well as internal equity and business considerations. This range reflects base pay only and does not include bonuses, incentives, benefits, or other forms of compensation that may be offered as part of the total compensation package.

R3 is an equal opportunity employer. It has been and will continue to be a fundamental policy of R3 to not discriminate on the basis, of race, color, religion, gender, gender identity, pregnancy, marital status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, or any other characteristic prohibited by federal, state, and/or local laws. This policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignment, benefits, and termination.

Salary Description

$170 to 185,000 annually