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Principal Engineer - Agentic AI Engineering

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Hobbsnews
Full Time position
Listed on 2026-07-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

Agentic AI Engineering Principal Engineer Job Description

This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

Developer Experience (Dev Ex) provides enterprise technical standards and common technical services, platforms, and tools that are leveraged by delivery teams across all lines of business. Within the SDLC Software Delivery Lifecycle program, this role leads portfolio product delivery strategy and execution for enterprise software delivery capabilities, ensuring the right investments, operating model, governance, and prioritization are in place to improve how internal technical users build, test, and deliver software at scale.

We are seeking a highly capable Agentic AI Engineering Principal Engineer to design, build, integrate, and support AI-enabled engineering capabilities embedded across the Software Delivery Lifecycle (SDLC). This role will help delivery teams adopt practical AI solutions that improve code authoring, test generation, automation, and developer productivity while aligning to enterprise engineering standards.

This role requires strong hands‑on engineering capability in one or more of Git Hub Copilot, Lang Graph, Semantic Kernel / Microsoft Agent Framework, SDLC automation, code and test generation, CI/CD integration, secure coding, and engineering productivity. The ideal candidate brings practical implementation experience, strong software engineering fundamentals, and a track record of turning AI-assisted development capabilities into reliable, secure, and scalable delivery workflows.

Responsibilities
  • Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
  • Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
  • Creates ideas on designing complex technology and solution development approaches
  • Leads the technical oversight for teams in solution development including design reviews and code within own domain
  • Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
  • Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
  • Leads and is responsible for the end‑to‑end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution
  • Improve the experience for our developers, making it easier to deliver industry‑leading solutions, while managing work efficiently and with the right controls
  • Advance our technology platforms through innovation
  • Reduce risk and improve quality across our technology portfolio by aligning to a single enterprise architecture strategy and delivering governance that enables consistency, integration and automation
Required Qualifications Engineering Leadership & Enterprise Platforms
  • 7+ years of software engineering experience with hands‑on delivery across enterprise platforms, developer tooling, automation, or AI‑enabled engineering solutions
  • Demonstrated experience implementing shared engineering capabilities, reusable automation patterns, or platform integrations used across multiple teams
  • Experience engineering solutions in highly regulated environments with strong SDLC, risk, audit, and control requirements
  • Ability to work effectively with architects, platform teams, security partners, and delivery teams to translate standards into practical implementation patterns and working solutions
AI‑Assisted Engineering, SDLC Tooling & Automation
  • Hands‑on experience with Git Hub Copilot and related…
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