AI Engineering Architect

Role Overview

Ascendion

technical vision

What You’ll Do

Architect the Platform Foundation

• Define

  system architecture

  ,

  technology stack

  , and

  integration patterns

  for the AI UX Delivery Platform.
• Design frameworks for

  modular agentic workflows

  ,

  knowledge orchestration

  , and

  data pipelines

  powering AI.
• Establish patterns for

  AI agents

  interacting with design tools and data sources.
• Ensure

  scalability

  ,

  security

  , and

  performance

  across internal tools and APIs.
• Create

  technical documentation

  and architectural blueprints.

Drive Engineering Excellence

• Collaborate with

  GenAI engineers

  ,

  UX designers

  , and stakeholders to translate requirements into elegant solutions.
• Oversee

  code standards

  ,

  DevOps practices

  , and

  CI/CD pipelines

  .
• Design for

  observability

  ,

  monitoring

  , and

  debugging

  of AI-driven components.
• Prototype and validate

  AI-driven features

  to de-risk decisions.

Enable AI-Native Delivery

• Mentor engineers on

  LLMs

  ,

  APIs

  ,

  vector databases

  , and

  contextual reasoning frameworks

  .
• Guide technical trade-offs between

  build vs. buy

  ,

  open-source vs. proprietary

  .
• Stay current with

  AI/ML advancements

  and evaluate emerging tools.

Lead Cross-Functional Collaboration

• Translate

  business goals

  into technical architecture and implementation plans.
• Present

  architectural decisions

  and

  roadmaps

  to leadership.
• Define

  APIs

  ,

  data schemas

  , and integration contracts for seamless collaboration.

What You Bring

• 10+ years

  of engineering experience,

  4+ years

  in architecture or technical leadership.
• Proven ability to

  architect scalable SaaS platforms

  ,

  AI-driven systems

  , or

  enterprise software products

  .
• Strong understanding of

  agentic systems

  ,

  context-aware AI

  , and

  LLM-based workflows

  .
• Deep technical knowledge across

  backend

  ,

  infrastructure

  ,

  data engineering

  , and

  AI/ML systems

  .

You’ll Stand Out If You Have

• Experience with

  GenAI

  ,

  prompt orchestration

  ,

  RAG

  , and

  knowledge graphs

  .
• A

  product mindset

  balancing speed, scalability, and innovation.
• Background in building

  internal platforms

  ,

  design tools

  , or

  creative automation systems

  .

Ready to architect the future of AI-powered platforms? Apply now!