The Role
Leads Armada’s enterprise AI and data engineering strategy, architecture, platform development, governance, and technical standards. Designs and oversees generative AI, RAG, intelligent agents, machine learning, advanced analytics, APIs, and microservices across Azure, Fabric, Databricks, and Snowflake. Serves as principal architect, manages and mentors at least two engineers, guides technical reviews, and drives scalable, secure, observable, and cost-effective AI delivery.
Summary Generated by Built In
SUMMARYThis position serves as Armada's lead AI & Data engineer while developing talent in the Artificial Intelligence space. Responsible for owning the technical vision, architecture, engineering standards, and future-state capabilities that enable AI at enterprise scale.This role is designed for a recognized technical leader who has successfully delivered AI, cloud, data, and software engineering solutions and is ready to own the strategic direction of Armada's AI engineering ecosystem. The Manager of AI and Data Engineering will lead the design and implementation of enterprise AI platforms, intelligent agents, generative AI solutions, advanced analytics architectures, and scalable AI engineering practices across the organization.The ideal candidate brings deep expertise across Azure, Microsoft Fabric, Databricks, Snowflake, modern software engineering, cloud-native architectures, and emerging AI technologies. They possess the technical depth to solve complex engineering challenges and the leadership ability to influence technology strategy across business and IT stakeholders.This role is expected to establish the engineering foundation that enables Armada to scale AI safely, efficiently, and responsibly while driving measurable business value.PRIMARY RESPONSIBILITIESEnterprise AI and Data Engineering
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
- Establish technical standards, solution architectures, and engineering patterns for all AI initiatives.
- Lead technology decisions involving AI platforms, data platforms, cloud infrastructure, and intelligent automation capabilities.
- Evaluate emerging AI technologies and determine enterprise applicability.
- Create scalable architectural patterns that balance innovation, maintainability, security, and cost optimization.
- Serve as the coach for AI engineering across Armada.
- Design and evolve Armada's AI platform capabilities across Azure, Microsoft Fabric, Databricks, and Snowflake.
- Establish platform strategies for Generative AI, RAG, machine learning, agent frameworks, vector search, and intelligent automation.
- Define standards for AI lifecycle management, model deployment, monitoring, and observability.
- Build reusable engineering capabilities that accelerate AI delivery across the enterprise.
- Establish AI engineering guardrails, governance controls, and operational standards.
- Lead the design and implementation of enterprise AI agents and copilots.
- Architect Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge assets.
- Design intelligent workflows that integrate AI into operational business processes.
- Build scalable API and microservices architectures that expose AI capabilities across Armada applications.
- Drive adoption of AI-powered decision support, automation, and augmentation capabilities.
- Establish standards for prompt engineering, orchestration, evaluation, and AI performance measurement.
- Serve as principal architect for highly complex AI and data initiatives.
- Lead technical design reviews and architecture governance activities.
- Partner with engineering teams to solve difficult scalability, performance, reliability, and security challenges.
- Mentor and manage two or more engineers on the team.
- Drive engineering excellence through best practices, standards, code quality, and technical coaching.
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related discipline.
- 4+ years of hands-on data and AI engineering, including machine learning, advanced analytics, or intelligent automation experience.
- 3+ years of formal hands-on people management experience.
- Demonstrated success delivering enterprise-scale production AI solutions.
- Exceptional communication and influence skills.
- Ability to lead cross-functional initiatives without direct authority.
- Azure AI Foundry
- Azure Machine Learning
- Azure Functions
- Azure API Management
- Azure DevOps
- Co-Pilot Studios
- Enterprise RAG Solutions
- Agentic AI Architectures
- Multi-Agent Systems
- Vector Databases
- Knowledge Graphs
- AI Evaluation Frameworks
- Prompt Engineering at Scale
- AI Model Observability
- AI Safety Controls
- Python
- C#
- TypeScript
- REST APIs
- Event-Driven Architecture
- Microservices
- CI/CD Automation
- Test Automation
- Containerization
- Infrastructure as Code
- Platform Automation
- MLOps
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline
- 4+ years of hands-on data and AI engineering experience, including machine learning, advanced analytics, or intelligent automation
- 3+ years of formal hands-on people management experience
- Demonstrated success delivering enterprise-scale production AI solutions
- Exceptional communication and influence skills
- Ability to lead cross-functional initiatives without direct authority
- Experience with Azure AI Foundry, Azure Machine Learning, Azure Functions, Azure API Management, Azure DevOps, and Copilot Studio
- Experience with Microsoft Fabric, Databricks, and Snowflake
- Experience with enterprise RAG solutions, agentic AI architectures, multi-agent systems, vector databases, knowledge graphs, AI evaluation frameworks, prompt engineering, model observability, and AI safety controls
- Experience with Python, C#, TypeScript, REST APIs, event-driven architecture, microservices, CI/CD, test automation, containerization, infrastructure as code, platform automation, and MLOps
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The Company
What We Do
Armada creates innovative, fully integrated supply chain solutions that improve business performance for our clients, enabling them to best serve their customers. We deliver supply chain solutions with extraordinary Service, powered by Technology, driven by Analytics, operating at Scale. We are revolutionizing the way supply chains are managed by creating resilient and agile networks to manage the challenges of today’s market. Armada believes there’s a better way – a better way rooted in transparency, advocacy, and ingenuity.
