×
Register Here to Apply for Jobs or Post Jobs. X

Lead AI Engineer; Agentic AI - NC, TX

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Apex Systems
Contract position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 69 USD Hourly USD 69.00 HOUR
Job Description & How to Apply Below
Position: Lead AI Engineer (Agentic AI) - NC, TX

Software Engineer 4 / Lead AI Engineer (Agentic AI)

Client:
Financial Services

Location:

Raleigh, NC / Charlotte, NC (CIC) / Irving, TX – Hybrid (3 days onsite mandatory)

Contract Length: 12 months (possible extension or conversion)

Pay Rate: $69 - $74

Top Requirements:
  • 5–10 years of Software Engineering experience with strong Python development (2+ years)
  • Hands-on experience with Generative AI frameworks (Lang Chain, ADK, agent-based architectures)
  • Strong understanding of SDLC and ability to design, build, and deploy scalable applications
  • Plusses:
  • Experience with MLOps / LLMOps and deploying AI models in production
  • Experience with multi-cloud platforms (Azure, GCP, Open Shift)
  • Background in Dev Ops (CI/CD, infrastructure as code)
  • Financial services or regulated industry experience
  • Cybersecurity awareness and safe AI development practices
  • Job Summary:

    In this contingent resource assignment, you may:
    Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.

    Strategically collaborate and consult with client personnel.

    Day-to-Day Responsibilities:
    • Design and develop generative AI applications leveraging LLMs and enterprise data
    • Build agent-based AI solutions using frameworks such as Lang Chain and Agent Development Kit (ADK)
    • Develop Python-based services and applications supporting AI initiatives
    • Implement retrieval-augmented generation (RAG) pipelines and intelligent workflows
    • Collaborate with architects and engineers to align with enterprise technology strategies
    • Support cloud-native development and application deployment across Azure, GCP, and Open Shift
    • Contribute to MLOps/LLMOps practices including model deployment, monitoring, and scaling
    • Identify and resolve technical issues across development, build, and deployment pipelines
    • Participate in peer code reviews and enforce engineering best practices
    • Build prototypes and demos of AI solutions for internal business stakeholders
    • Work in Agile development environments with version control and branching strategies
    • Ensure security, scalability, and compliance of AI-enabled applications
    • Influence technical roadmaps and contribute to innovation initiatives across the organization
    To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
    (If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
     
     
     
    Search for further Jobs Here:
    (Try combinations for better Results! Or enter less keywords for broader Results)
    Location
    Increase/decrease your Search Radius (miles)
    0
    200
    Filters
    Education Level
    Experience Level (years)
    Posted in last:
    Salary