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Senior AI Lead Engineer

PublishedPublished: 6/14/2022
Technology
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Job Description

Job DescriptionJOB DESCRIPTION

Seeking a Senior AI Lead Engineer to drive the design, development, and delivery of advanced Generative AI solutions while providing leadership across Digital Innovation engineering team. This role combines hands-on engineering with leadership responsibilities to organize and guide R&D team developing innovative AI prototypes.

DUTIES & RESPONSIBILITIES

AI Engineering & Solution Delivery

  • Develop rapid prototypes to demonstrate business value and convert them into reusable assets
  • Implement AI-driven approaches to enhance data access, transformation, and workflows
  • Design, evaluate, and document Generative AI prototypes using emerging techniques in addition to model evaluation, guardrails, and responsible AI practices

Technical Leadership & Architecture

  • Define reusable architecture patterns and reference implementations
  • Establish best practices for AI development lifecycle, CI/CD, and deployment
  • Drive standardization and reuse of successful AI prototypes

Leadership & Team Coordination

  • Lead and coordinate innovation developers working on multiple AI innovation initiatives
  • Mentor engineers and foster a culture of experimentation and continuous learning
  • Organize work across the team by defining priorities, milestones, and technical direction
  • Remove blockers and facilitate collaboration across onshore and offshore team
  • Ensure alignment on architecture, coding standards, and best practices
  • Balance rapid experimentation with production-grade solution development
  • Guide Agile delivery by helping define requirements, track development & documentation, and share reusable patterns

Cloud, DevOps & Infrastructure

  • Utilize Azure PaaS services including Azure AI Foundry, Azure AI Search, Content Understanding and other cloud-native offerings.
  • Demonstrate deep experience with Azure resources for deployment, configuration, and operations of cloud services.

Execution, Agile & DevOps

  • Plan and track work using Azure DevOps (Epics, Features, User Stories) / GitHub Issues
  • Ensure predictable prototype delivery across multiple concurrent AI use cases
  • Use Git-based workflows and CI/CD automation (Azure DevOps Pipelines, GitHub Actions).

Collaboration & Stakeholder Engagement

  • Work with Product, and business team to deliver human-centered AI prototypes/patterns
  • Communicate technical decisions, progress, and risks to leadership
  • Align AI prototypes with enterprise innovation strategy
  • Promote adoption of reusable AI patterns and reference implementations through technical demonstrations, documentation, and stakeholder engagement.


MINIMUM REQUIREMENTS

  • Extensive Microsoft full-stack development experience
  • Experience with Azure PaaS and AI services
  • Proven leadership experience managing a technical or innovation team
  • Proficiency in C# and Python (preferred)
  • Experience with REST APIs, authentication, and cloud-native architecture
  • Experience with Azure DevOps/GitHub and CI/CD pipelines
  • Strong problem-solving and communication skills


PREFERRED EXPERIENCE

  • Experience building Generative AI applications
  • Experience designing AI-powered user interfaces
  • Experience defining architecture standards and platform practices
  • Experience managing multiple initiatives
  • Knowledge of Azure Fabric and modern data platforms
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