Senior Automation Architect

Cognizant; Chennai District, Coimbatore District, Bengaluru; Hybrid; INR 400,000 - 700,000; Full time

Job summary

Cognizant is seeking an expert AI Architect to design, develop, and maintain scalable automated test solutions across UI, API, and DB layers, with a focus on GenAI, NLP, and agentic architectures.

You will translate business requirements into AI blueprints, define multiagent models, and ensure alignment with cloud, data, security, and enterprise standards while driving cost-efficient AI workloads and governance.

Qualifications

• Bachelor's or Masters in CS/Engineering or related field.
• 12+ years in architecture, digital transformation, or AI solutions.
• Cloud/AI/Architecture certifications are a plus.

Responsibilities

• Own the end-to-end architecture of AI/GenAI solutions including LLM-based, 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.
• Design solutions using LLMs, vector databases, prompt engineering, RAG, and agent frameworks.
• Define scalability, performance, observability, and cost optimization strategies for AI workloads.
• Embed responsible AI, security, privacy, and compliance controls into AI architectures.
• Define guardrails for model usage, data access, hallucination mitigation, and auditability.
• Support regulated environments (e.g., Healthcare, Life Sciences, BFSI) with traceable AI designs.
• 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.
• Work with business leaders, consulting, and presales to shape AI value narratives and solution POVs.

Skills

AI/ML concepts

GenAI

LLMs

NLP

Agentic architectures

AWS

Azure

GCP

AI services

Data architectures

APIs

Microservices

Event-driven systems

CI/CD

ML Ops

Model lifecycle

Observability

Education

Bachelor's/Master's in CS/Eng

Tools

Vector databases

Prompt engineering

RAG

Agent frameworks

Open-source AI tools

Job description

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 strong hands-on experience with on the following as

• Strong 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 architectureof 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 strategiesfor AI workloads

Governance, Risk & Compliance

• Embed responsible AI, security, privacy, and compliance controlsinto AI architectures
• Define guardrails for model usage, data access, hallucination mitigation, and auditability
• Support regulated environments (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 Masters degree in Computer Science, Engineering, or related field
• 12+ yearsof experience in architecture, digital transformation, or AI solutions
• Certifications in Cloud / AI / Architectureare a plus

Location- Chennai/Coimbatore/Bangalore

Notice Period-Up to 60 Days