AI Specialist III
Primary Talent Partners · Charlotte, NC · 2 mo ago
On-siteOTHR$85–$95/hrContract
Description
We are seeking an experienced and motivated Senior Software Engineer with a strong background in AWS AI development stack, including AgentCore (nice to have). This role offers the opportunity to work on cutting-edge solutions that leverage artificial intelligence to transform business processes and customer experiences. You will design, build, and optimize complex systems in a data-centric environment, collaborating across teams and wearing multiple hats to deliver innovative solutions.
Key Responsibilities
- Design and build highly complex AI-enabled software solutions using Agile, XP, and TDD practices.
- Develop scalable applications and APIs leveraging AWS services (Lambda, Glue, etc.) and Terraform for infrastructure automation.
- Write efficient, well-structured Python code for AI workflows and cloud integrations.
- Collaborate with data engineers, product owners, and other developers to deliver impactful solutions.
- Participate in code reviews, paired programming, and mentor junior team members.
- Translate complex AI concepts into manageable user stories and technical deliverables.
- Optimize data pipelines and ensure robust integration with cloud platforms.
- Provide technical guidance on AI architecture and best practices for sustainability and security.
- Stay current with emerging AI technologies, including Agentic AI development.
Required Qualifications
- Associate's degree OR High School/GED in Information Systems related discipline AND 5+ years of relevant experience
- Proven experience as a Senior AWS Software Engineer with hands-on expertise in: Python, Terraform, AWS Glue, Lambda, and API development.
- Comfortable working in a data-centric environment and managing multiple responsibilities.
- Experience with AI-driven solutions.
Preferred Qualifications
- Experience with Agentic AI development and AgentCore.
- Familiarity with front-end development (Angular or similar).
- Strong understanding of cloud architecture and security best practices.
- Experience with CI/CD pipelines and automation.
- Ability to mentor and coach team members on AI and cloud technologies.
- Portfolio of work showcasing AI or cloud-based projects.