Alandur Chennai Tamil Nadu Enterprise architect senior Jobs – 352 Open Jobs Today

Senior Solution Architect
HCLTech —Sholinganallur, Chennai, Tamil Nadu
- Azure
- Master's degree
- AWS
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Citi —Chennai, Tamil Nadu
- Full-time
- Oracle
- DevOps
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Lead Architect - Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Java
- Master's degree
- SQL
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Security Cloud Lead Enterprise Architect
Barclays —Chennai, Tamil Nadu
- Azure
- AWS
- Financial services
Solutions Architect
Zocket Technologies Private Limited —Chennai, Tamil Nadu
- APIs
- AI
- Communication skills
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Manager - Program Management
Altimetrik Corp —Chennai, Tamil Nadu
- Azure
- PMP
- B.Sc
Manager / Senior Manager - Network
Linxon —Guindy, Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
Senior AI Architect
Indium Software —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Solution / Enterprise Architect- Application Engineering
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Public speaking
- Java
- Health insurance
- Paid time off
Palantir - senior developers - Chennai
Photon —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Senior Workday & HRIS Integrations Architect
Greif —Chennai, Tamil Nadu
- Full-time
- English
- Project management
- Bachelor's degree
Senior Delivery Manager - Cloud
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- DevOps
- AWS
- Health insurance
- Paid time off
Consulting-Marketing Ops-Operations Vice President
Deloitte —Chennai, Tamil Nadu
- Salesforce
- Research
- Master's degree
Agentic Al Architect (Domain Specialist)
iOPEX Technologies —Chennai, Tamil Nadu
- Azure
- Oracle
- Salesforce
Solution Architect- OSS Telco
Prodapt —Guindy, Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
7d
EY - GDS Consulting - AIA - AI Architect-Cyber - Senior Manager
EY —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Senior Data Architect / Data Architect
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- AWS
- IT
- Health insurance
- Paid time off
Senior Business Systems Engineer
Allucent —Chennai, Tamil Nadu
- Computer Science
- Sales
- Salesforce
- Flexible schedule
Quick apply
8d
Specialist I - Software Engineering
UST —Chennai, Tamil Nadu
- Azure
- Oracle
- DevOps
Quick apply
Senior Technical Architect - Network Platform
GSSTech Group —Chennai, Tamil Nadu
- Computer networking
- Leadership
- Communication skills
Quick apply

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Senior Solution Architect

HCLTech -
Sholinganallur, Chennai, Tamil Nadu

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Job details

3 days ago

Qualifications

CI/CD
Azure
Cloud architecture
Law
Enterprise architecture
Master's degree
Microservices
AWS
Continuous integration
APIs
Solution architecture
AI
Communication skills

Full job description

Sholinganallur, Tamil Nadu
Job Summary

Role Summary

The Generative AI Architect is responsible for defining, governing, and scaling enterprise‑grade GenAI solutions that are secure, compliant, cost‑effective, and aligned to measurable business outcomes.
This role sits at the intersection of AI engineering, enterprise architecture, cloud platforms, security, and transformation strategy , enabling the organization to move from GenAI experimentation to sustained production value .

Role Objective

To design and institutionalize GenAI platforms and solution patterns that:

Accelerate business productivity and decision‑making
Ensure compliance with regulatory, privacy, and Responsible AI standards
Enable reuse, scale, and consistency across the enterprise
Monetize GenAI capabilities across Run, Change, and Transform initiatives
Key Responsibilities

Key Responsibilities

1. Enterprise GenAI Architecture & Design

Define end‑to‑end GenAI reference architectures , including:
LLM selection (proprietary, open‑source, fine‑tuned)
RAG (Retrieval Augmented Generation)
Agent‑based and orchestration frameworks
Establish build vs buy vs reuse architecture decisions
Translate business use cases into scalable, production‑ready designs

2. Platform & Cloud Enablement

Architect GenAI solutions on enterprise cloud platforms (Azure/AWS/GCP)

Integrate GenAI with:
Core business applications and APIs
Data platforms, warehouses, and knowledge repositories
Legacy and modernization programs
Define standardized GenAI components for reuse across teams

3. Responsible AI, Security & Compliance

Embed Responsible AI principles by design , including:
PII/PHI protection
Prompt safety and guardrails
Transparency, auditability, and traceability
Partner with Legal, Risk, Security, and Compliance teams to ensure:
Regulatory adherence (e.g., GDPR, SOC2, ISO)
Secure access, identity, and data handling
Define governance frameworks for models, prompts, and data usage

4. Scalability, Performance & Cost Governance

Architect for high availability, resilience, and scale

Implement:
Token and inference optimization strategies
Model routing and caching
Usage controls and quota management
Drive AI cost governance (FinOps + MLOps alignment)

5. GenAI Engineering Standards & AI Ops

Define LLMOps / MLOps standards for:
CI/CD pipelines for models and prompts
Model versioning and lifecycle management
Monitoring hallucinations, drift, and performance
Establish operational readiness for production GenAI workloads

6. Business Alignment & Value Realization

Work with business and delivery leaders to:
Prioritize high‑value GenAI use cases
Define success metrics and ROI tracking
Ensure GenAI initiatives deliver measurable outcomes , not just PoCs
Support reuse across portfolios and business units

Key Stakeholders

CIO / CTO / CDO
Enterprise & Solution Architects
Data Science & Engineering teams
Security, Risk, Legal, Compliance
Business and Transformation Leaders
Skill Requirements

Required Skills & Experience

Technical & Architectural

10–15+ years in enterprise architecture / solution architecture

Hands‑on experience with:
Large Language Models (LLMs)
RAG, embeddings, vector databases
API‑first and microservices architectures
Strong cloud architecture experience (Azure preferred in enterprise contexts)
Working knowledge of MLOps / LLMOps practices

Governance & Enterprise Design

Experience designing for regulated environments

Strong understanding of:
Non‑functional requirements (security, scalability, compliance)
Architecture standards and reference models

Business & Leadership

Ability to translate business objectives into architecture decisions
Experience influencing senior stakeholders (Director / VP / CXO)
Strong communication and decision‑making skills
Other Requirements

Success Metrics

Adoption rate of GenAI platforms and services
Reduction in manual effort / cycle time
Cost efficiency per transaction or inference
Reuse of GenAI components across teams
Zero critical security or compliance incidents

Role Positioning

This role is strategic and horizontal , typically part of:
GenAI Center of Excellence (COE)
Enterprise Architecture or Digital Platform teams
Transformation programs focused on modernization and AI‑first delivery

Career Path (Indicative)

Principal Architect – GenAI
Enterprise AI Platform Lead
Head of GenAI / AI COE
Digital / Technology Transformation Leader

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