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S&P Global

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 .

Posted 11/10/2026full-timeHyderabad • IndiaLeadWebsite

Core Competencies

Role fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
CloudDistributed 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