AI Enterprise Architect

Mammoth-AI

Lahore

On-site

PKR 4,500,000 - 7,500,000

Full time

7 hours ago

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Job summary

Mammoth-AI in Lahore seeks an experienced AI Enterprise Architect who bridges business requirements with enterprise technology, software engineering, and AI capabilities.

The role involves engaging CIOs/CTOs and leading architecture from strategy to execution, with hands-on design of APIs, data, security, and deployments. You will operate in a startup-enterprise mix, driving POCs, roadmaps, and scalable solutions while mentoring teams.

Qualifications

8+ years of software engineering and architecture experience.
Experience as a Solution Architect, Enterprise Architect, or Technical Architect.
Proven track record delivering enterprise-grade software solutions.
Startup or high-growth technology company experience preferred.

Responsibilities

Translate business requirements into scalable technical solutions.
Design enterprise application, platform, integration, and AI architectures.
Define application, data, security, infrastructure, and integration architectures.
Create architecture blueprints, specifications, and roadmaps.
Evaluate build-vs-buy-vs-integrate decisions.
Identify technical risks, dependencies, and trade-offs.
Ensure solutions are secure, scalable, maintainable, and commercially viable.
Partner with CTOs/CIOs and Heads of Engineering; lead discovery workshops.
Architect AI solutions using LLMs, Generative AI, and AI Agents.
Architect solutions for MVPs in a startup-enterprise context.
Lead architecture-to-execution in a hands-on, delivery-focused way.

Skills

Solution Architecture

Cloud Architecture

APIs & Integrations

Microservices

Distributed Systems

AI-Powered Solutions

Stakeholder Engagement

Mentor Engineers

Tools

OpenAI

AWS

Azure

GCP

Kubernetes

Docker

Terraform

Job description

About the Role

We are seeking an experienced AI Enterprise Architect who can bridge business requirements, enterprise technology, software engineering, and emerging AI capabilities.

The ideal candidate has experience in both startup and enterprise environments and understands the balance between rapid execution and scalable architecture. This role requires the ability to engage with CIOs, CTOs, and executive stakeholders while also working closely with engineering teams on architecture, integrations, APIs, and implementation.

This is not a purely advisory or documentation-focused role. We are looking for someone who can move seamlessly from strategy → architecture → execution.

Key Responsibilities

Solution Architecture

Translate business requirements into scalable technical solutions.
Design enterprise application, platform, integration, and AI architectures.
Define application, data, security, infrastructure, and integration architectures.
Create architecture blueprints, specifications, and implementation roadmaps.
Evaluate build vs. buy vs. integrate decisions.
Identify technical risks, dependencies, and trade-offs.
Ensure solutions are secure, scalable, maintainable, and commercially viable.

Enterprise Architecture & Client Engagement

Partner directly with CTOs, CIOs, Heads of Engineering, and Digital Leaders.
Lead discovery workshops and architecture sessions.
Understand enterprise technology landscapes and integration opportunities.
Convert business objectives into actionable technology strategies.
Present architecture recommendations to technical and business stakeholders.
Support enterprise proposals, POCs, RFPs, and technical evaluations.

AI & Emerging Technology

Architect solutions using LLMs, Generative AI, and AI Agents.
Design RAG platforms, knowledge systems, and enterprise AI assistants.
Evaluate AI models based on performance, cost, privacy, and latency.
Design AI orchestration and multi-agent solutions.
Implement vector search, embeddings, and semantic retrieval architectures.
Integrate AI solutions with enterprise platforms and APIs.
Implement evaluation frameworks, observability, guardrails, and risk controls.
Stay current with rapidly evolving AI technologies and architecture patterns.

Startup Environment

We value architects who can:

Move Fast
Operate with Ambiguity
Build MVPs
Make Pragmatic Decisions
Work Directly with Founders
Wear Multiple Hats
Balance Speed and Scalability

What Success Looks Like

Establish architecture standards and reusable patterns.
Lead enterprise architecture discussions and workshops.
Accelerate solution design and POC delivery.
Improve enterprise technical credibility.
Reduce technical debt while maintaining startup velocity.
Help productize repeatable enterprise solutions.

Required Experience

8+ years of software engineering and architecture experience.
Experience as a Solution Architect, Enterprise Architect, or Technical Architect.
Proven track record delivering enterprise-grade software solutions.
Strong cloud architecture and distributed systems expertise.
Experience with APIs, integrations, microservices, and event-driven architectures.
Strong understanding of scalability, reliability, security, and performance.
Real-world experience architecting AI-powered solutions.
Experience working directly with enterprise customers and stakeholders.
Startup or high-growth technology company experience preferred.

AI Experience (Must Have)

AI Capabilities