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
Rate:
Not specified
Location:
New York
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified