Sr. AI Engineer

Job Description:

Sr. AI Engineer

Preferred Locations:Salt Lake City, UT; Louisville, KY, or Amsterdam (All Hybrid)

About Packsize

Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box—it’s delivering what’s right for our customers, their customers, our people, and the planet.

About the Role

We are seeking an experienced AI Engineer to partner with our internal Data \& Analytics and IT teams to design, build, and operationalize production\-grade AI agents within the Microsoft ecosystem.

This role will focus on delivering enterprise\-ready solutions using:

• Microsoft Copilot Studio (low\-code orchestration)


• Azure AI Foundry (custom agent development \& advanced processing)

The engagement will operate in a co\-building model, working alongside consultants and internal teams to deliver initial AI pilot agents while establishing a scalable, governed AI platform.

What You'll Do

1\. AI Agent Architecture \& Design

Define reference architecture for agentic AI solutions across Copilot Studio and Azure AI Foundry

Establish design patterns for:

• Retrieval\-Augmented Generation (RAG)


• Multi\-agent orchestration


• Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem)

Guide use\-case prioritization and platform selection (Studio vs Foundry vs hybrid)

2\. AI Agent Development \& Delivery

• Build and deploy production\-grade AI agents, including:


• Knowledge \& troubleshooting agents


• Operational / workflow automation agents


• Data and analytics\-driven agents


• Implement:


• Prompt engineering and evaluation strategies


• Agent workflows and orchestration logic


• API, connector, and system integrations

3\. Platform Foundation \& Governance

• Establish enterprise AI guardrails, including:


• Security, RBAC, and identity integration (Entra ID)


• Data access boundaries and governance


• Audit logging and monitoring frameworks


• Define and implement:


• Agent lifecycle (draft pilot production retirement)


• CI/CD pipelines and deployment standards

4\. Azure AI \& Microsoft Ecosystem Implementation

• Configure and deploy:


• Azure OpenAI / model endpoints


• Azure AI Search (vector \+ semantic retrieval)


• Application Insights / Log Analytics monitoring


• Build and support:


• Copilot Studio environments and orchestration layers


• Azure AI Foundry\-based custom agent services

5\. Co\-Development \& Enablement

• Work directly with consultants and internal teams to:


• Co\-build pilot agents


• Facilitate adoption and value\-based outcomes


• Partner with data engineering team on:


• Data product and semantic layer alignment


• AI orchestration


• Observability and feedback loops


• Enable internal teams on:


• Agent design patterns


• Responsible AI practices


• Ongoing support and scaling

What You'll Bring

Technical Expertise

• Strong experience with:


• Azure AI services (Foundry, Cognitive Services, AI Search)


• Microsoft Copilot Studio / Power Platform


• Cloud\-native architecture (Azure)


• Experience building:


• Conversational AI / chatbot / agent solutions


• RAG pipelines and LLM\-based applications


• API integrations, MCP frameworks, and enterprise workflows

Architecture \& Engineering

• Proven ability to design:


• Scalable, secure AI platforms


• Hybrid architectures (low\-code \+ pro\-code)


• Experience with:


• MLOps and CI/CD pipelines


• Monitoring and observability (App Insights, logging, tracing)


• Secure cloud networking and identity


• Validating and optimizing AI systems


• Evaluating and selecting AI platforms and tools (cloud\-native and third\-party)


• Defining design patterns, standards, and guardrails for AI solutions


• Balancing rapid experimentation with maintaining platform consistency and avoiding fragmentation

Governance \& Responsible AI

• Experience implementing:


• AI governance frameworks


• Data security, privacy and compliance controls


• Lifecycle management and deployment gating


• Understanding of regulatory considerations (e.g., data privacy, AI compliance risks)


• Experience with auditing, monitoring, and incident response for AI systems in production

Experience

• 5\+ years in cloud / data / AI engineering or architecture roles


• 5\+ years in software development or data engineering


• Hands\-on experience building LLM\-based applications or agentic AI solutions

Preferred Qualifications

• Microsoft certifications (Azure AI Engineer, Azure Architect, etc.)


• Experience integrating AI agents with:


• Microsoft Teams / M365


• ERP / CRM systems (SAP, Salesforce)


• Familiarity with Databricks or lakehouse architectures


• Experience delivering multi\-phase AI programs (pilot scale)

Engagement Model

• First 90 days: co\-build solutions with Microsoft Partner


• Establish AI foundation and standards


• Drive adoption and value realization


• Create support model and roadmap enterprise AI solutions

What Success Looks Like

• Production\-ready AI agents deployed within Microsoft 365


• Scalable AI agent platform established (governed, monitored, secure)


• Internal teams enabled to independently build and operate agents


• Clear pipeline of business\-driven AI use cases


• Consistent use of defined AI platforms and patterns across teams


• Reduced duplication and fragmentation across AI solutions


• Clear intake, prioritization, and decision\-making for AI use cases


• Align with vendor best practice to build, take ownership, and continue building value for the organization!

What We Offer

The base salary range for this role is $140k\-$180k, however, Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience education / training, and any special skills. At Packsize, we’re committed to supporting the health, well\-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well\-being.

If this role excites you but you don’t meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.

Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we’re committed to supporting the health, well\-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well\-being.

Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.

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