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

- 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 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 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 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