Manager AI & Data Engineering

SUMMARY

This 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 RESPONSIBILITIES

Enterprise AI and Data Engineering

• 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.

Enterprise AI Platform Ownership

• 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.

AI Application & Agent Development

• 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.

Advanced Engineering Leadership

• 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.

MINIMUM QUALIFICATIONS

• 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.

REQUIRED TECHNICAL EXPERTISE

·Microsoft Azure

• Azure AI Foundry

• Azure Machine Learning

• Azure Functions

• Azure API Management

• Azure DevOps

• Co-Pilot Studios

·Microsoft Fabric

·Databricks

· Snowflake

DESIRED EXPERIENCE

Generative AI & Agent Engineering

• 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

Modern Software Engineering

• Python

• C#

• TypeScript

• REST APIs

• Event-Driven Architecture

• Microservices

• CI/CD Automation

• Test Automation

• Containerization

Platform Engineering

• Infrastructure as Code

• Platform Automation

• MLOps