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 explicit 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.

📌 Associate Architect - Machine Learning (Bengaluru)
🏢 Quantiphi Analytics Solutions
📍 Bengaluru