Principal Architect, Agentic AI for Application Maintenance Services

Saarthee

Philadelphia (Philadelphia County)

Hybrid

USD 180,000 - 260,000

Full time

44 hours ago
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Benefits offered by this job

Above-industry remuneration
Bonus potential tied to renewals and P
Pilot project opportunities
Mentoring and growth focus
Branding and professional development

Job summary

Saarthee is seeking a Principal Architect for Agentic AI in Application Maintenance Services to lead the design and implementation of enterprise AI for application support and operations. This is a remote role open to US-based candidates, requiring strong expertise in ITSM, SRE, LLMs, and knowledge management.

You will guide architects, AI engineers, and application teams across large-scale production environments, focusing on secure, observable, and controlled agent-enabled operations with

Qualifications

  • 12+ years in application support, SRE, or solution architecture.
  • Experience leading architects, AI engineers, and application teams.
  • Strong ITSM, SRE, and enterprise integration background.

Responsibilities

  • Define roadmaps for routing, triage, and knowledge agents across the lifecycle.
  • Architect governed knowledge bases with runbooks, incidents, RCA records.
  • Define tool contracts for ticketing and change workflows with access tiers.
  • Set least-privilege, data masking, and prompt-injection controls.
  • Build datasets from history and plan observability and staged rollout.
  • Define cross-team responsibilities and align adoption with MTTR metrics.

Skills

ITSM
SRE
LLMs
Agent workflows
Architecture leadership
Cloud
Security

Education

Bachelors in CS/Engineering

Tools

JIRA integration
ServiceNow
GitHub/GitLab
Observability tools

Job description

Principal Architect, Agentic AI for Application Maintenance Services

We are looking for a Principal Architect for Agentic AI in Application Maintenance Services to join our growing team and lead the design and implementation of secure, reliable AI agents for application support and operations.

  • Remote – open to US-based candidates only

Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.

Position Summary

Location: United States (Remote)
Work Mode: Remote – open to US-based candidates only
Min-Max Experience: 12+ Years
Work Authorization: Must be authorized to work in the US without current or future visa sponsorship

As a Principal Architect for Agentic AI in Application Maintenance Services (AMS), you will lead the architecture and implementation of enterprise AI for application support and operations, including routing, triage, resolution, remediation, root-cause analysis (RCA), and knowledge agents.

This role combines AI and platform architecture with a deep understanding of ITSM and SRE to move AMS from AI-assisted lookup to controlled, closed-loop, agent-enabled operations. We are looking for an architect with experience across large-scale production environments who can lead architects, AI engineers, and application teams.

Your Role Responsibilities and Duties
  • AMS Agent & Platform Architecture: Define the roadmap for routing, triage, resolution, remediation, RCA, and knowledge agents across the full lifecycle, from detection through learning.
  • Enterprise Knowledge & RAG: Architect a governed knowledge base of runbooks, incidents, RCA records, logs, and telemetry, with permission-aware retrieval.
  • MCP & Enterprise Integration: Define Model Context Protocol (MCP) tool contracts for ticketing, observability, and change workflows, with action tiers ranging from read-only to approval-required.
  • Security & Operational Risk: Set least-privilege, data-masking, and prompt-injection controls, and classify agent risk by criticality, action type, and reversibility.
  • Evaluation, Reliability & AgentOps: Build golden datasets from historical incidents, and define observability and staged rollout from sandbox to controlled execution.
  • Operating Model & Adoption: Define cross-team responsibilities and tie adoption to MTTR, ticket avoidance, and repeat-incident reduction.
Required Skills and Qualifications
  • 12+ years of experience in application support, SRE, solution architecture, or operations transformation.
  • Demonstrated architecture experience across large-scale production environments.
  • Experience with incident, problem, change, service-request, and knowledge-management processes.
  • Experience leading architects, AI engineers, and application teams.
  • Strong architecture experience in application support, SRE, ITSM, or enterprise integration.
  • Understanding of LLMs, RAG, embeddings, tool calling, and agent workflows.
  • Knowledge of hybrid retrieval, vector search, and knowledge graphs.
  • Experience with APIs, identity, security, cloud, and observability platforms.
  • Experience integrating JIRA, ServiceNow, GitHub/GitLab, and monitoring tools.
Preferred Qualifications
  • Degree in Computer Science, Engineering, or Information Systems.
  • Experience with Claude, Gemini, GPT, LangGraph, or ADK.
  • Knowledge of New Relic, OpenSearch, or Elastic.
  • ITIL, SRE, cloud, or AI certification; telecom or regulated-industry experience.
Mandatory Skills

ITSM & SRE, Solution Architecture, LLMs & RAG, Agent Workflows, ServiceNow / JIRA Integration, Observability Platforms.

What We Offer
  • Bootstrapped and financially stable with high pre-money valuation.
  • Above-industry remuneration.
  • Additional compensation tied to renewals and pilot project execution.
  • Chance to work closely with industry experts driving strategy with data and analytics.
  • Firm-building opportunities that provide a platform for holistic professional development, growth, and branding.
  • An empathetic, excellence-driven, and results-focused organization that believes in mentoring and growing a team with a constant emphasis on learning.
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