Role Summary

We are seeking a highly skilled Automation Architect to design, develop, and maintain scalable automated test solutions across UI, API, and database layers. The ideal candidate will have solid hands-on experience with on the following as
Robust understanding of AI/ML concepts, GenAI, LLMs, NLP, and agentic architectures
Experience with cloud platforms (AWS / Azure / GCP) and AI services
Knowledge of data architectures, APIs, microservices, and eventdriven systems
Familiarity with CI/CD, ML Ops, model lifecycle management, and observability

Key Responsibilities of AI Architect

Architecture & Solution Design
Own the endtoend architecture of AI / GenAI solutions including LLMbased, agentic, NLP, and automation use cases
Translate business requirements into AI solution blueprints, workflows, and reference architectures
Define multiagent architectures, orchestration patterns, and AI service integration models
Ensure alignment with cloud, data, security, and enterprise architecture standards

AI Platforms & Technology
Design solutions using LLMs, vector databases, prompt engineering, RAG, and agent frameworks
Select and govern AI platforms, tools, and frameworks (cloud AI services, opensource, enterprise tools)
Define scalability, performance, observability,



and costoptimization strategies for AI workloads

Governance, Risk & Compliance
Embed responsible AI, security, privacy, and compliance controls into AI architectures
Define guardrails for model usage, data access, hallucination mitigation, and auditability
Support regulated settings (e.g., Healthcare, Life Sciences, BFSI) with traceable AI designs

Delivery & Enablement
Partner with engineering, QA, DevOps, and product teams during implementation
Provide technical leadership, design reviews, and architecture governance
Create reusable assets: reference architectures, patterns, accelerators, and design templates

Stakeholder & Thought Leadership
Work with business leaders, consulting, and presales to shape AI value narratives and solution POVs
Support client discussions, solution walkthroughs, and AI strategy articulation
Mentor teams and drive AI capability upliftment and best practices

Qualifications
Bachelors or Master’s degree in Computer Science, Engineering, or related field
12+ years of experience in architecture, digital transformation, or AI solutions
Certifications in Cloud / AI / Architecture are a plus

Location- Chennai

Notice Period-Max 45 days Officially

📌 Senior Automation Architect Chennai
🏢 Cognizant
📍 Chennai