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Principal Agentic Systems Architect
S&P Global. Define reference architectures and reusable design patterns for agent development, orchestration, tool calling, context management, multi-agent interaction, and human-in-the-loop controls .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building LLM-based applications and agent workflows, with a strong focus on cloud-native architecture, application security, and CI/CD practices. Proven ability to guide engineering teams and influence architectural decisions across diverse technology stacks.
Highest-signal resume keywords
LLM-Based Application DevelopmentCloud-Native ArchitectureApplication SecurityCI/CD PracticesArchitectural Decision-Making
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaGoAgent FrameworksMCPOrchestration PatternsBehavioral TestingAutomated TestingSecrets ManagementDistributed Systems
Soft Skills
Technical CommunicationInfluencing Teams
Tools & Technologies
KubernetesAPIsContainersCI/CD ToolsEnterprise Coding-Agent Platforms
Industry Keywords
Agent DevelopmentMulti-Agent InteractionProduction ReadinessSecure SDLCAuditability
Tech Stack
Tools & technologiesCloudDistributed SystemsJavaKubernetesPythonSDLCGo
About the role
Key responsibilities & impact- Define reference architectures and reusable design patterns for agent development, orchestration, tool calling, context management, multi-agent interaction, and human-in-the-loop controls
- Set integration patterns for coding agents, agent frameworks, MCP servers, enterprise APIs, and security tools
- Architect isolated, ephemeral execution environments with identity and access controls, secrets management, and full auditability
- Establish engineering standards for the agent lifecycle, including CI/CD, versioning, behavioral testing, agent evaluations, release management, and runtime operations
- Define approaches for observability, failure handling, and production readiness across agent workloads
- Guide engineering teams, review solution designs, evaluate technology choices, and resolve complex architectural challenges
- Validate architectural decisions through prototypes and proofs of concept with platform engineers and delivery teams
- Document patterns and standards for reuse across projects and teams
Requirements
What you’ll need- Hands-on experience designing and building LLM-based applications, AI agents, or agentic workflows
- Strong understanding of agent frameworks, coding agents, tool integration, MCP, and orchestration patterns
- Cloud-native architecture experience with APIs, containers, Kubernetes, and distributed systems
- Application security experience including IAM, secrets management, secure SDLC, and software supply-chain security
- Experience with CI/CD, automated testing, observability, and production engineering practices
- Strong programming skills in Python, Java, or Go, sufficient to build working prototypes
- Architectural decision-making and clear technical communication, with ability to influence multiple teams without direct authority
- Flexibility to work across varied and evolving technology stacks
- 10+ years in software engineering, solution architecture, or distributed systems
- 2+ years building LLM or agent-based systems
- Experience in secure or regulated enterprise environments preferred
- Experience with enterprise coding-agent platforms or similar AI-assisted engineering tools preferred
- Experience building secure, ephemeral execution environments for autonomous or semi-autonomous agents preferred
- Familiarity with agent evaluation frameworks, behavioral testing, and automated remediation workflows preferred
- Multi-cloud experience and experience integrating different AI models and runtimes preferred
Benefits
Comp & perks- Health care coverage designed for the mind and body
- Generous time off
- Continuous learning resources and career development opportunities
- Competitive pay
- Retirement planning
- Continuing education program with company-matched student loan contribution
- Financial wellness programs
- Family benefits and perks
- Retail discounts
- Referral incentive awards