System Soft Technologies
Agentic Systems Architect
System Soft Technologies, Durham, North Carolina, United States, 27703
Job Description
Agentic (Autonomous) Systems Architect Hybrid: Durham, NC ( will offer relocation to serious candidates ) US Citizen or Green Card holder required
The Agentic Systems Architect will design, deliver, and evolve next-generation autonomous systems. This is a new team and will require the incumbent to be the go-to technical authority in our Agentic AI organization, leading the creation of large-scale platforms where AI agents plan, act, self-correct, and collaborate across complex business domains. The Architect will lead multiple projects and critical domains of the platform, such as
"AI Code Execution and Validation,"
encompassing sandboxing, static analysis, runtime monitoring, and deployment integration for
AI-generated code .
Key Outputs & Outcomes:
Strategic Technical Plans: Develop architecture roadmaps and agent governance models to guide coherent, scalable system evolution. Deliver funded proposals and strategic technical direction based on your planning. Successful Delivery of Complex Projects: Lead delivery of critical initiatives, such as autonomous code validation services, agent orchestration frameworks, or self-correcting subsystems, with measurable impact (e.g., 50%+ reduction in manual verification effort). Technical Innovation: Prototype and integrate agentic innovations, including autonomous feedback loops, dynamic agent task planning, and scalable self-repair mechanisms. Organizational Learning & Standards: Establish best practices for agent reliability, prompt policy enforcement, and system drift prevention. Mentor engineers and embed autonomous-first thinking across the organization.
Responsibilities:
Technical Roadmapping & Design: Collaborate with Principal Engineers and leadership to define roadmaps for critical domains like "AI Code Execution and Validation," breaking long-term vision into executable architecture updates. Project Technical Leadership: Drive end-to-end execution, from critical design decisions to risk management. Architect resilient, modular systems where agents can operate safely and scale autonomously. Innovation & Prototyping: Investigate cutting-edge research, prototype agentic self-debugging, memory evolution, or multi-agent orchestration solutions, and translate successful prototypes into platform capabilities. Cross-Functional Collaboration: Work across Product, QA, Security, and Operations teams to align platform evolution with business goals, ensuring AI agent outputs meet security, compliance, and operational standards. Mentoring and Technical Influence: Mentor engineers at all levels, lead technical reviews, and champion a culture where AI-driven autonomy and engineering excellence are foundational expectations.
Required Skills & Experience:
10+ years of software engineering experience, with significant time in senior/staff roles
driving complex systems architecture. Proven
system design
and analytical skills: ability to conceptualize, architect, and reason about large, distributed,
agentic systems
including failure modes and dynamic interactions. Expertise in distributed systems and cloud architectures, with deep understanding of eventual consistency, transaction boundaries, and multi-region deployments. Proficient in agentic AI frameworks:
tool invocation, multi-step planning, chaining, agent governance. Mastery of multiple programming paradigms; comfortable bridging high-level
AI-driven workflows with low-level system optimization
where needed. Strong ownership mentality; known for delivering resilient, scalable systems with minimal oversight.
Preferred Skills & Tools:
Experience
architecting multi-agent distributed orchestration systems. Exposure to
LLM fine-tuning/customization
for specific platform goals. Advanced knowledge of
system security, compliance (ISO, SOC2), and static/dynamic code analysis. Experience working with globally distributed teams and
designing systems that must operate reliably across geographies. Recognition in professional communities (conferences, open-source contributions) is a strong plus.
Agentic (Autonomous) Systems Architect Hybrid: Durham, NC ( will offer relocation to serious candidates ) US Citizen or Green Card holder required
The Agentic Systems Architect will design, deliver, and evolve next-generation autonomous systems. This is a new team and will require the incumbent to be the go-to technical authority in our Agentic AI organization, leading the creation of large-scale platforms where AI agents plan, act, self-correct, and collaborate across complex business domains. The Architect will lead multiple projects and critical domains of the platform, such as
"AI Code Execution and Validation,"
encompassing sandboxing, static analysis, runtime monitoring, and deployment integration for
AI-generated code .
Key Outputs & Outcomes:
Strategic Technical Plans: Develop architecture roadmaps and agent governance models to guide coherent, scalable system evolution. Deliver funded proposals and strategic technical direction based on your planning. Successful Delivery of Complex Projects: Lead delivery of critical initiatives, such as autonomous code validation services, agent orchestration frameworks, or self-correcting subsystems, with measurable impact (e.g., 50%+ reduction in manual verification effort). Technical Innovation: Prototype and integrate agentic innovations, including autonomous feedback loops, dynamic agent task planning, and scalable self-repair mechanisms. Organizational Learning & Standards: Establish best practices for agent reliability, prompt policy enforcement, and system drift prevention. Mentor engineers and embed autonomous-first thinking across the organization.
Responsibilities:
Technical Roadmapping & Design: Collaborate with Principal Engineers and leadership to define roadmaps for critical domains like "AI Code Execution and Validation," breaking long-term vision into executable architecture updates. Project Technical Leadership: Drive end-to-end execution, from critical design decisions to risk management. Architect resilient, modular systems where agents can operate safely and scale autonomously. Innovation & Prototyping: Investigate cutting-edge research, prototype agentic self-debugging, memory evolution, or multi-agent orchestration solutions, and translate successful prototypes into platform capabilities. Cross-Functional Collaboration: Work across Product, QA, Security, and Operations teams to align platform evolution with business goals, ensuring AI agent outputs meet security, compliance, and operational standards. Mentoring and Technical Influence: Mentor engineers at all levels, lead technical reviews, and champion a culture where AI-driven autonomy and engineering excellence are foundational expectations.
Required Skills & Experience:
10+ years of software engineering experience, with significant time in senior/staff roles
driving complex systems architecture. Proven
system design
and analytical skills: ability to conceptualize, architect, and reason about large, distributed,
agentic systems
including failure modes and dynamic interactions. Expertise in distributed systems and cloud architectures, with deep understanding of eventual consistency, transaction boundaries, and multi-region deployments. Proficient in agentic AI frameworks:
tool invocation, multi-step planning, chaining, agent governance. Mastery of multiple programming paradigms; comfortable bridging high-level
AI-driven workflows with low-level system optimization
where needed. Strong ownership mentality; known for delivering resilient, scalable systems with minimal oversight.
Preferred Skills & Tools:
Experience
architecting multi-agent distributed orchestration systems. Exposure to
LLM fine-tuning/customization
for specific platform goals. Advanced knowledge of
system security, compliance (ISO, SOC2), and static/dynamic code analysis. Experience working with globally distributed teams and
designing systems that must operate reliably across geographies. Recognition in professional communities (conferences, open-source contributions) is a strong plus.