Job Title: Agentic AI Engineer
Location: Dallas, TX, Austin, TX, Houston, TX, San Antonio, TX.
Contact: 12+ Months
Looking for W2 candidates. No C2C
Job Summary
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.
Key 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.
Required Qualifications
· 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.
Preferred Qualifications
· 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.
Technical Skills
· AI & Cloud
· Agentic AI
· Azure AI Foundry
· AWS Bedrock
· Large Language Models (LLMs)
· AI Automation
· Programming
· Python
· SQL
· Pandas
· Cloud Platforms
· Microsoft Azure
· Amazon Web Services (AWS)
· Development Tools
· Git
· Jira
Best Regards:
Tina
Phone:
Email:
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