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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 and Azure AI Foundry. 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.

Responsibilities

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, and Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem)
Guide use-case prioritization and platform selection (Studio vs Foundry vs hybrid)
Build and deploy production-grade AI agents, including knowledge & troubleshooting agents, operational / workflow automation agents, and data and analytics-driven agents
Implement prompt engineering and evaluation strategies, agent workflows and orchestration logic, and API, connector, and system integrations
Establish enterprise AI guardrails, including security, RBAC, and identity integration (Entra ID), data access boundaries and governance, and audit logging and monitoring frameworks
Define and implement agent lifecycle (draft → pilot → production → retirement) and CI/CD pipelines and deployment standards
Configure and deploy Azure OpenAI / model endpoints, Azure AI Search (vector + semantic retrieval), and Application Insights / Log Analytics monitoring
Build and support Copilot Studio environments and orchestration layers, and Azure AI Foundry-based custom agent services
Co-build pilot agents with consultants and internal teams
Facilitate adoption and value-based outcomes
Partner with data engineering team on data product and semantic layer alignment, AI orchestration, and observability and feedback loops
Enable internal teams on agent design patterns and Responsible AI practices
Provide ongoing support and scaling for AI solutions

Requirements

Strong experience with Azure AI services (Foundry, Cognitive Services, AI Search)
Strong experience with Microsoft Copilot Studio / Power Platform
Strong experience with Cloud-native architecture (Azure)
Experience building conversational AI / chatbot / agent solutions
Experience building RAG pipelines and LLM-based applications
Experience with API integrations, MCP frameworks, and enterprise workflows
Proven ability to design scalable, secure AI platforms
Proven ability to design hybrid architectures (low-code + pro-code)
Experience with MLOps and CI/CD pipelines
Experience with monitoring and observability (App Insights, logging, tracing)
Experience with secure cloud networking and identity
Experience validating and optimizing AI systems
Experience evaluating and selecting AI platforms and tools (cloud-native and third-party)
Experience defining design patterns, standards, and guardrails for AI solutions
Experience balancing rapid experimentation with maintaining platform consistency and avoiding fragmentation
Experience implementing AI governance frameworks
Experience implementing data security, privacy and compliance controls
Experience implementing 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
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
Microsoft certifications (Azure AI Engineer, Azure Architect, etc.) are preferred
Experience integrating AI agents with Microsoft Teams / M365 is preferred
Experience integrating AI agents with ERP / CRM systems (SAP, Salesforce) is preferred
Familiarity with Databricks or lakehouse architectures is preferred
Experience delivering multi-phase AI programs (pilot → scale) is preferred
Align with vendor best practice to build, take ownership, and continue building value for the organization

Skills

Azure AI services
Microsoft Copilot Studio
Power Platform
Cloud-native architecture
Conversational AI
Chatbot development
Agent development
RAG pipelines
LLM-based applications
API integrations
MCP frameworks
Enterprise workflows
AI platform design
Hybrid architecture
MLOps
CI/CD pipelines
Monitoring
Observability
Cloud networking
Identity management
AI governance
Data security
Data privacy
Compliance
Lifecycle management
Deployment gating
Auditing
Incident response
Databricks
Lakehouse architectures
Microsoft Teams
M365
SAP
Salesforce

Location

Salt Lake City, UT
Louisville, KY
Amsterdam

Work Type

Hybrid

Experience Level

5+ years in cloud / data / AI engineering or architecture roles
5+ years in software development or data engineering

Salary/Compensations

$140k-$180k

Benefits

Medical coverage
Dental coverage
Vision coverage
401(k) retirement plan
Paid Time Off
Health Savings Accounts (HSA)
Flexible Spending Accounts (FSA)
Life insurance
Disability insurance
Critical illness voluntary benefit
Hospital indemnity voluntary benefit
Accident voluntary benefit
Legal/ID theft protection voluntary benefit
Employee Assistance Program (EAP)

About the Company

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.
Packsize creates and maintains more efficient and sustainable packaging process flows from packing to unboxing.
We’re propelling our customers and the industry forward, always looking to innovate and improve.
At Packsize, packaging is much more than a box.
It's about delivering what's right, for our customers, for their customers, and for our planet.

Equal Opportunity

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.