Principal Engineer - Agentic AI Framework and Harness
Hobbsnews
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Job summary
Hobbsnews is looking for a highly accomplished Agentic AI Framework & Harness Principal Engineer in Charlotte, NC. This role requires defining and driving engineering standards and technical roadmaps for reusable agent frameworks within enterprise software solutions.
The ideal candidate will lead the development of complex features, ensure seamless integration between teams, and improve efficiency through innovation. We seek an expert with extensive experience in engineering leadership, particularly in AI-enabled systems.
Qualifications
- 15+ years of engineering experience with deep technical leadership in enterprise software platforms.
- Experience in highly regulated environments with strong SDLC, risk, audit, and control requirements.
- Proven ability to implement frameworks that enforce governance and safety.
Responsibilities
- Develop the engineering approach for the entire program/portfolio solution.
- Lead planning, definition, and design of complex features spanning multiple teams.
- Improve the experience for developers and manage work efficiently.
Skills
Education
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 (DevEx) 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 accomplished Agentic AI Framework & Harness Principal Engineer to define and drive the architecture, engineering standards, and technical roadmap for reusable agent frameworks and harness capabilities embedded across the Software Delivery Lifecycle (SDLC). This role will shape how engineering teams design, compose, test, and operationalize agentic workflows through robust framework abstractions, deterministic execution patterns, and enterprise‑grade developer tooling.
This role requires deep technical leadership in agent orchestration, memory patterns, policy hooks, tool calling, planning loops, simulator harnesses, deterministic workflow design, eval integration, and SDK, API, and CLI design. The ideal candidate brings strong hands‑on engineering depth, platform design expertise, and a track record of building reusable framework capabilities that improve correctness, composability, governance, testability, and developer productivity for agentic systems in production.
- Develop the engineering approach for the entire program/portfolio solution and work with Architecture to develop, analyze, and deliver the implementation of technical enablers.
- Lead the planning, definition, and design of complex features which span multiple teams and explore solution alternatives.
- Create ideas on designing complex technology and solution development approaches.
- Provide technical oversight for teams in solution development, including design reviews and code within own domain.
- Define the technology tool stack for the solution within the range of internally approved and supported technologies.
- Explore state‑of‑the‑art technologies to improve development efficiencies, quality of test/QA coverage, and release management.
- Lead and be 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.
- 15+ years of engineering experience with deep technical leadership in enterprise software platforms, developer tooling, or AI‑enabled engineering systems.
- Demonstrated ownership of architecture, standards, and engineering direction for shared platforms used across multiple delivery teams or lines of business.
- Experience engineering solutions in highly regulated environments with strong SDLC, risk, audit, and control requirements.
- Ability to influence senior technology leaders, platform teams, and risk partners through clear technical strategy, architecture guidance, and engineering standards.
- Deep expertise in designing reusable agent orchestration frameworks, including execution models, control flow patterns, state handling, and composition strategies for multi‑step and tool‑augmented workflows.
- Strong command of memory patterns, including short‑term and long‑term context strategies, state persistence, retrieval interfaces, and mechanisms for safe and relevant memory use across agent lifecycles.
- Proven ability to implement policy hooks and runtime interception points that enforce governance, validation, safety, observability, and enterprise controls throughout agent execution.
- Experience engineering robust tool‑calling abstractions, interface contracts, and execution patterns that enable reliable integration with enterprise systems, services, and developer tools.
- Hands‑on knowledge of planning loops and deterministic workflow design that balance flexibility with predictability, traceability, and supportability across enterprise agentic use cases.
- Experience building simulator harnesses and execution testbeds that enable repeatable testing, scenario simulation, policy validation, and controlled experimentation for agentic workflows.
- Strong understanding of eval integration, including offline and online assessment patterns, benchmark design, regression detection, and framework‑level hooks for continuous quality measurement.
- Proven ability to create reusable framework guardrails, deterministic harness patterns, and evaluation‑connected developer workflows that enable safe, testable, and scalable adoption at enterprise scale.
- Hands‑on collaboration with platform engineering, product, and developer experience teams to design intuitive SDKs, APIs, and CLIs that simplify adoption of agent frameworks and harness capabilities.
- Strong foundation in developer‑centered API design, abstraction layering, extensibility models, versioning strategies, and interface ergonomics required to support broad enterprise engineering use.
- Experience leading framework design for composability, determinism, debuggability, and interoperability across SDK, runtime, orchestration, and evaluation layers.
- Familiarity with CLI workflows, configuration design, local development harnesses, and packaging patterns required to make enterprise agentic tooling accessible, supportable, and efficient for delivery teams.
- Ability to define framework standards, execution models, governance patterns, and developer enablement approaches that continuously improve correctness, reuse, and delivery efficiency.
- Proven track record taking agent framework and harness capabilities from incubation to enterprise‑scale adoption through measurable improvements in composability, testability, governance, and developer experience.
- Demonstrated success connecting framework engineering investments to delivery acceleration, quality improvement, operational consistency, and reduced friction across engineering workflows.
- Experience evaluating orchestration models, harness strategies, policy extensibility, and interface designs to guide teams toward scalable, supportable, and high‑value enterprise use cases.
- Bachelor’s degree in computer science, engineering, information systems, applied mathematics, or a related technical field.
- Advanced degree in a technical discipline or equivalent record of distinguished technical leadership in agent orchestration frameworks, execution harnesses, developer platform tooling, or AI‑enabled software delivery engineering.
- Automation
- Influence
- Result Orientation
- Stakeholder Management
- Technical Strategy Development
- Application Development
- Architecture
- Business Acumen
- Risk Management
- Solution Design
- Agile Practices
- Analytical Thinking
- Collaboration
- Data Management
- Solution Delivery Process
1st shift (United States of America)
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