Associate Architect - Machine Learning (Gen AI)

Associate Technical Architect - Machine Learning

Experience Level: 6-10 years

Job Summary

As an Associate Technical Architect at Quantiphi, you will design comprehensive technical

solutions for enterprise AI initiatives, partnering with Fortune 500 clients on Google Cloud

Platform. You'll translate complex business requirements into scalable architectures spanning

generative AI, traditional ML, and computer vision. This role is for systems thinkers who

architect multi-component AI platforms, mentor engineering teams, and build trusted advisor

relationships with stakeholders.

Responsibilities

Solution Architecture & Design - - - -

Lead technical architecture for enterprise AI solutions, creating design documents,

architecture diagrams, data flows, and integration blueprints

Define integration strategies between AI systems and enterprise infrastructure (data

warehouses, business applications, legacy systems)

Conduct feasibility assessments, proof-of-concept evaluations, and build-versus-buy

analyses

Design multi-workstream AI platforms with clear separation of concerns and

enterprise-grade reliability

Generative AI & Agentic Architecture - - -

Architect RAG systems defining chunking strategies, embedding selection, retrieval

patterns, and vector database choices

Design multi-agent systems with clear orchestration patterns, agent communication

protocols, and reliable coordination

Architect knowledge graph solutions integrated with RAG for enterprise knowledge

management and semantic discovery

MLOps & Governance - - - -

Design ML governance frameworks with model versioning, approval workflows,

compliance logging, and audit trails

Define CI/CD pipelines for ML development using cloud-native tools with automated

testing and validation gates

Create LLMOps standards for prompt versioning, evaluation, and cost optimization

Establish AI safety practices including guardrails, output filtering, and bias detection

Client Engagement & Leadership - - -

Present architecture solutions to client stakeholders, articulating design trade-offs and

technical challenges

Partner on RFPs and pre-sales solution design; mentor senior ML engineers on

architecture principles

Define architectural standards and best practices for project teams

Required Qualifications - - - - - - - -

Bachelor's or Master's degree in Computer Science, Engineering, or related field (or

equivalent demonstrated expertise)

6-10 years of progressive ML/AI experience with 2+ years in architecture and technical

leadership roles

Portfolio of successfully architected and delivered production AI/ML solutions in

client-facing environments

Proven client-facing experience including architecture presentations and technical

advisory roles

Deep expertise architecting across multiple domains: generative AI, RAG, multi-agent

systems, traditional ML, and computer vision

Strong understanding of enterprise architecture principles, cloud-native design, and

distributed systems

Experience designing production ML systems including model monitoring, serving

infrastructure, and governance

Hands-on experience with ML security, compliance, and data privacy in regulated

environments

Preferred Qualifications - - - -

Google Cloud Professional Cloud Architect or Machine Learning Engineer certification

Successful pre-sales or architecture leadership track record

Domain expertise in Financial Services, Healthcare, Retail, or Manufacturing

Experience with knowledge graphs and semantic search implementations

What Sets This Role Apart

Shape AI strategy for Fortune 500 enterprises across multiple AI/ML domains through your

architectural decisions. Build trusted relationships with client technical leaders while serving as

a subject matter expert. Bridge technical excellence with business impact - translating

cutting-edge AI capabilities and proven ML approaches into pragmatic solutions that deliver

measurable value.