Manager, AI Engineering

Arcwood Environmental, LLC•Indianapolis, IN

About The Position

The Manager, AI Engineering will help Arcwood Environmental build and scale practical AI capabilities across the organization. This hands-on leadership role leads a small team and coordinates onshore and offshore consulting resources to design, build, deploy, and support AI-enabled business solutions. Working with business and technology leaders, the manager turns high-value opportunities into working solutions using Microsoft Azure and AI platforms such as Azure OpenAI and Anthropic Claude. The role also establishes practical AI development standards, develops internal capabilities, and encourages responsible AI adoption. The position offers an opportunity to help build an emerging enterprise AI capability, team, and portfolio of solutions during a period of company growth.

Requirements

Bachelor's degree in computer science, software engineering, information systems, data science, analytics, AI/ML, or a related field, or equivalent professional experience.
At least 5 years of experience in software development, cloud engineering, data engineering, AI/ML, analytics, or related technology roles.
At least 2 years of experience leading technical projects, small teams, and consulting resources.
Hands-on experience developing and deploying applications using Microsoft Azure cloud services.
Experience developing solutions using generative AI and large language models.
Experience with Azure OpenAI/OpenAI, Anthropic Claude, or comparable commercial or open-source AI platforms.
Experience integrating APIs, applications, data platforms, and AI services.
Experience taking technology solutions from prototype through production and ongoing support.

Nice To Haves

Experience managing consulting or offshore development resources.
Experience with AI agents, AI workflow automation, prompt engineering, or similar technologies.
Experience with Azure AI Foundry, Azure AI Search, Azure Machine Learning, or related Microsoft AI technologies.

Responsibilities

Prioritize health and safety by adhering to policies and processes and maintaining safe practices.
Lead and develop a small team of AI and technical resources.
Coordinate work across internal employees, onshore consultants, offshore resources, and technology partners.
Act as a hands-on technical leader in solution design, prototyping, development, integration, testing, and deployment.
Lead development of AI-enabled applications, generative AI solutions, agents, intelligent workflows, and business-process automation.
Partner with business teams to translate business problems into practical AI solutions.
Move successful AI concepts and prototypes into production applications.
Use Microsoft Azure cloud services and enterprise AI platforms to build secure, scalable solutions.
Integrate AI models and services from providers including Azure OpenAI/OpenAI, Anthropic Claude, and other appropriate platforms.
Establish development standards, reusable patterns, documentation, monitoring, and support practices for AI solutions.
Support AI governance, security, data, and responsible AI requirements with enterprise architecture, cybersecurity, data, legal, and other stakeholders.
Coach and upskill internal technology resources in modern AI technologies and development techniques.
Help employees and business teams understand effective and responsible uses of AI.
Manage consultants against defined deliverables, timelines, quality expectations, and knowledge-transfer objectives.
Take on additional duties as assigned to support the team and organization.