Enterprise AI Architect

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

We are looking for an Enterprise AI Architect to join our growing team and lead the strategy and architecture for secure, governed AI agents across application development and maintenance 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: 15+ Years
Work Authorization: Must be authorized to work in the US without current or future visa sponsorship

As an Enterprise AI Architect, you will lead the evolution of Application Development (AD) and Application Maintenance Services (AMS) from AI-assisted work to governed, agent-enabled operations. You will own the single shared foundation of enterprise knowledge, AI harnesses, agents, Model Context Protocol (MCP) integrations, and governance that powers both the AD loop and the AMS loop.

This role is responsible for defining and driving the maturity roadmap that moves both AD and AMS from harness-driven delivery to enterprise-scaled autonomy. We are looking for a seasoned architect with deep enterprise architecture experience and a proven record of leading production-grade AI, data, and automation initiatives across engineering, operations, security, and risk teams.

Your Role Responsibilities and Duties

• 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.

Required Skills 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.

Preferred Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field; relevant cloud, security, SRE, or AI certification.
• Experience with GCP Vertex AI / Gemini; familiarity with Azure AI or AWS Bedrock is a plus.
• Experience in telecom, financial services, or another large-scale regulated environment.

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.