Principal Agentic Systems Architect
S&P Global2 days ago
Noida, India +2 moreStaff+
Responsibilities
- Define reference architectures and reusable design patterns for agent development, orchestration, tool calling, context management, multi-agent interaction, and human-in-the-loop controls.
- Establish 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 auditability.
- Set engineering standards for CI/CD, versioning, behavioral testing, agent evaluations, release management, and runtime operations.
- Define observability, failure-handling, and production-readiness approaches for agent workloads.
- Guide engineering teams, review solution designs, evaluate technology choices, and resolve complex architectural challenges across initiatives.
- Validate architectural decisions through prototypes and proofs of concept with platform engineers and delivery teams.
- Document reusable patterns and standards across projects and teams.
Requirements
- 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.
- Ability to make architectural decisions and influence multiple teams without direct authority.
- Flexibility to work across varied technology stacks, runtimes, frameworks, and model providers.
- 10+ years of experience in software engineering, solution architecture, or distributed systems, including 2+ years building LLM or agent-based systems.
- Experience in secure or regulated enterprise environments is preferred.
- Experience with enterprise coding-agent platforms such as Devin, GitHub Copilot agents, or Claude Code is preferred.
- Experience with secure ephemeral execution environments, agent evaluation frameworks, behavioral testing, automated remediation workflows, multi-cloud systems, or different AI models and runtimes is desirable.
Benefits
- Health care coverage and wellness benefits.
- Generous flexible downtime and time off.
- Continuous-learning resources and career-development opportunities.
- Competitive pay, retirement planning, continuing education, company-matched student loan contributions, and financial wellness programs.
- Family-friendly benefits and perks for partners and children.
- Retail discounts and referral incentive awards.
- Benefits vary by country; details are provided through the S&P Global benefits site.