Remote Enterprise AI Architect & Strategy Lead

Saarthee; Philadelphia (Philadelphia County); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Above-industry remuneration.

Additional compensation tied to renews

Opportunity for growth and mentoring

Work with industry experts

Branding and platform for professional

Job summary

Saarthee seeks an Enterprise AI Architect to lead governance-driven AI strategy across AD/AMS, owning the enterprise knowledge base, MCP integrations, and secure agent-enabled operations. You will drive maturity roadmaps, define standards for harnesses and agents, and ensure responsible AI across engineering, security, and risk teams.

You will guide long-term automation, leverage LLMs, and champion scalable AI foundations while partnering with executives to align strategy with business value and

Qualifications

• 15+ years of experience in technology, engineering, architecture, or transformation roles, including 8+ years in enterprise architecture, engineering platforms, cloud transformation, or large-scale delivery transformation.
• Proven leadership of production-grade AI, data, automation, or intelligent-platform initiatives.
• Experience leading cross-functional programs across engineering, operations, security, data, and risk teams.
• Enterprise architecture expertise across application, data, integration, security, cloud, and operating-model domains.
• Strong grounding in LLMs, retrieval-augmented generation (RAG), embeddings, tool calling, and multi-agent orchestration.
• Knowledge of AI harnesses (Claude Code, GitHub Copilot, Gemini, Devin) and agent frameworks (LangGraph, ADK, Semantic Kernel).
• Solid foundations in software engineering, DevSecOps, CI/CD, observability, and SRE.
• Ability to brief executive and technical audiences on complex AI and architecture decisions.

Responsibilities

• Strategy & Maturity Roadmap: Define the AD/AMS AI strategy, set entry and exit criteria for each maturity level, and segment use cases by value, risk, and readiness.
• Shared AI Foundation: Own the reference architecture and the Enterprise Knowledge Base (code, JIRA, ServiceNow, runbooks, and logs), with governed RAG, permissions, and lineage.
• Harness & Agent Architecture: Set enterprise standards for approved harnesses, prompts, skills, sub-agents, and multi-agent patterns, and define clear boundaries between assisted and autonomous work.
• MCP & Enterprise Integration: Establish the MCP registry, tool certification process, and action categories ranging from read-only to approval-required.
• Closed-Loop Engineering & Operations: Connect tests, reviews, pipelines, telemetry, and incidents to agent workflows so that AD and AMS continuously learn from each other.
• Governance & Responsible AI: Define risk classification, human-in-the-loop checkpoints, kill switches, rollback, and audit requirements, ensuring autonomy is earned, not assumed.

Skills

Enterprise Architecture

AI Leadership

Cross-functional Leadership

Cloud Transformation

LLMs & RAG

Agent Frameworks

DevSecOps

CI/CD

Executive Communication

Education

Bachelor’s or Master’s in Computer Science/Engineering or related field

Tools

GCP Vertex AI

Gemini

Azure AI

AWS Bedrock

LangGraph

ADK

Semantic Kernel

Claude Code

GitHub Copilot

Job description

Saarthee seeks an Enterprise AI Architect to lead governance-driven AI strategy across AD/AMS, owning the enterprise knowledge base, MCP integrations, and secure agent-enabled operations. You will drive maturity roadmaps, define standards for harnesses and agents, and ensure responsible AI across engineering, security, and risk teams.

You will guide long-term automation, leverage LLMs, and champion scalable AI foundations while partnering with executives to align strategy with business value and