Agentic AI Engineer

QTech•Chicago, MI

1d•Onsite

About The Position

We are seeking an experienced Agentic AI Engineer Lead to drive the design, development, and implementation of enterprise-grade AI agent solutions using Azure AI Foundry and AWS Bedrock. The ideal candidate will lead AI automation initiatives, define product roadmaps, collaborate with cross-functional stakeholders, and build scalable Agentic AI applications that enhance business processes.

Requirements

Strong experience developing AI agents using: Azure AI Foundry, AWS Bedrock
Experience designing AI automation workflows and enterprise AI solutions.
Python
SQL
Pandas
Experience with cloud-native application development on Azure and/or AWS.
Understanding of AI agent orchestration, Large Language Models (LLMs), and AI automation concepts.
Experience working in Agile/Scrum environments.
Familiarity with Agile testing processes and software quality best practices.
Excellent problem-solving, analytical, and debugging skills.
Strong communication and stakeholder management skills.

Nice To Haves

Experience with multi-agent architecture and AI orchestration frameworks.
Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
Experience integrating AI solutions with enterprise applications and APIs.
Familiarity with CI/CD pipelines and DevOps practices.
Experience mentoring or leading software engineering teams.
Azure or AWS cloud certifications are a plus.

Responsibilities

Lead the design, development, and deployment of enterprise Agentic AI solutions using Azure AI Foundry and AWS Bedrock.
Define and maintain the AI product roadmap, backlog, and feature prioritization in collaboration with business and technical stakeholders.
Design scalable AI agent architectures and automation workflows for enterprise use cases.
Develop intelligent AI applications using Python, SQL, and data processing libraries such as Pandas.
Build, integrate, and optimize AI agents leveraging Large Language Models (LLMs) and cloud AI services.
Collaborate with cross-functional teams throughout the software development lifecycle using Agile methodologies.
Participate in sprint planning, backlog grooming, code reviews, and technical design discussions.
Ensure best practices in software engineering, testing, security, and deployment.
Troubleshoot, optimize, and enhance AI solutions for scalability, reliability, and performance.
Provide technical leadership, mentoring, and guidance to development teams.
Communicate effectively with business stakeholders to translate requirements into technical solutions.