Pappampatti Coimbatore Tamil Nadu Software architect Jobs – 149 Open Jobs Today

AI Infrastructure Architect
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
3d
Large Language Model Architect
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
3d
MEP Engineer
INTELLECT AQUA PRIVATE LIMITED —Coimbatore, Tamil Nadu
- ₹30,000 - ₹40,000 a month
- Full-time
- AutoCAD
- System design
- Project management
- Cell phone reimbursement
Quick apply
Senior Lead Full Stack Engineer
Kovan Technology Solutions —Coimbatore, Tamil Nadu
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
Design Engineer - (Home Interior)
Richmond Groups —Coimbatore, Tamil Nadu
- ₹20,000.49 - ₹40,000.55 a month
- Full-time
- Microsoft Powerpoint
- AutoCAD
- Microsoft Excel
- Flexible schedule
Quick apply
8d
Site Coordinator
Homsense —Coimbatore, Tamil Nadu
- ₹18,000 - ₹30,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
- Cell phone reimbursement
- Flexible schedule
Quick apply
4d
Quantity Surveyor(Construction)
TNCD LLP —Coimbatore, Tamil Nadu
- Up to ₹45,000 a month
- Full-time
- AutoCAD
- Microsoft Excel
- Analysis skills
Quick apply
6d
Lead Engineer - AIOps
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Azure
- Oracle
- Java
Quantity Surveyor
Ace Creativess —Coimbatore, Tamil Nadu
- Full-time
- AutoCAD
- Bachelor's degree
- Construction experience
Quick apply
Engineering Manager
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Azure
- Oracle
- Java
Senior Engineer - AIOps
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Email
- Azure
- Oracle
- Java
Front Office Associate
VISTA ELEVATORS —Coimbatore, Tamil Nadu
- ₹15,000 - ₹20,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
MEP Executive (Mechanical, Electrical, Plumbing)
vaanam furnishings PVT.LTD —Coimbatore, Tamil Nadu
- From ₹20,000 a month
- Full-time
- AutoCAD
- Microsoft Office
- Project management
- Cell phone reimbursement
Quick apply
4d
Lead / Sr. AWS Connect Developer with Salesforce Service Cloud
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
- Salesforce
- Java
- Master's degree
- Health insurance
- Paid time off

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Backend Developer (1–3 Years Experience)
SproutWings Telematics (OPC) Pvt Ltd —Neelambur, Coimbatore, Tamil Nadu
In this role, you will be responsible for building, maintaining, and scaling the server-side logic, databases, and APIs that power our applications.
Quick apply
Immediate Requirement in Software Development / Testing for Freshers
Futureva Technologies —Coimbatore, Tamil Nadu
Immediate Requirements in Software Decelopment / Testing for Freshers from 2014 to 2024 Passouts with Initial training and Proper Domain Knowledge.
₹3,00,000 - ₹5,00,000 a year
Quick apply

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AI Infrastructure Architect

Accenture -
Coimbatore, Tamil Nadu

Apply Now

Job details

Full-time
3 days ago

Qualifications

Ontology
Cloud architecture
Law
Computer Science
Kubernetes
Full-stack development
Software deployment
Spark
Master's degree
OS Kernels
Docker
Bachelor's degree
Machine learning
Deep learning
Risk management
Computer Engineering
Natural language processing
Data analytics
Unity
Financial services
Data science
Manufacturing
Solution architecture
AI
Leadership
Graph databases

Full job description

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Large Language Models (LLMs)
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

Lead / Senior Architect in AI LLM Technology Architecture, serving as the definitive technical authority for end-to-end AI architecture on Databricks.
Own the complete AI platform architecture spanning classical machine learning, generative AI, LLM applications, RAG, agentic systems, context engineering, model platforms, inference and enterprise AI integration.
Operate at executive and senior stakeholder level, connecting business goals, industry priorities and transformation agendas to a coherent technical vision and sequenced AI implementation roadmap.
Bring practical industry experience in financial services, healthcare, manufacturing, retail, telecom or life sciences to ensure AI architectures address domain realities, regulatory expectations, security constraints, operational processes and measurable business outcomes.
Lead and integrate work across multiple domain architects and subject matter specialists, resolving cross-domain design decisions and ensuring the full AI solution is cohesive, technically sound and enterprise-ready.

Key Responsibilities

Partner with CIOs, CTOs, business leaders and delivery stakeholders to shape enterprise AI strategy and convert business priorities into phased technical roadmaps.
Lead enterprise AI architecture assessments, target-state definition, gap analysis, platform selection, modernization opportunities and implementation sequencing.
For Databricks, set the enterprise direction for lakehouse-native AI platforms define governed RAG and multi-agent architectures using Delta Lake, Unity Catalog, Vector Search and Mosaic AI establish model serving, evaluation, tracing and monitoring patterns through MLflow and Databricks workflows guide architecture decisions for data governance, scalability and cost control.
Own the end-to-end technical solution for complex AI platforms, ensuring all domains are aligned to business objectives, enterprise standards and non-functional requirements.

- Define architectural direction for model- and tool-agnostic multi-agent systems including orchestration, memory, tool/skill use, agent registry, AI gateway/control-plane patterns and service abstraction.

Establish the enterprise context layer architecture spanning knowledge graphs, ontologies, vector search, semantic retrieval, prompt/context assembly and conversation state management.
Set security, governance, observability, performance, scalability and reliability standards across AI solution domains, including identity, authorization, PII protection, layered guardrails, auditability and evaluation gates.
Mandate productized evaluation and observability practices covering accuracy, relevance, groundedness, latency, model quality, cost, safety, reliability and production support metrics.
Drive architecture decisions for high-throughput, low-latency inference, model routing, model adaptation/fine-tuning, caching, cost controls and production-ready deployment platforms.
Produce and own authoritative architecture artifacts including blueprints, ADRs, sequence diagrams, design specifications, integration patterns, reusable reference architectures and governance playbooks.

Required Qualifications

Bachelor's degree or equivalent in Computer Science, Computer Engineering, Data Science, AI/ML, Information Technology or a related engineering discipline.
Minimum 12+ years of overall experience in software engineering, data engineering, AI/ML engineering, cloud architecture or enterprise technology architecture.
Minimum 8+ years of experience designing and deploying enterprise-grade advanced AI, data, analytics or cloud-native solutions using at least one cloud vendor.
Minimum 2+ years of experience in LLM and generative AI solution architecture, including agentic AI, RAG, prompt engineering, model integration and evaluation patterns.
Minimum 2+ years of experience architecting and operationalizing LLM-driven application architecture patterns in production or enterprise-scale environments.
Minimum 6+ years of experience in engineering, machine learning, deep learning, NLP solutions, data engineering or large-scale analytical engineering applications.
Demonstrated experience as a senior architect in industry domains such as financial services, healthcare, manufacturing, retail, telecom or life sciences, with ability to align technology choices to business, risk and compliance expectations.

Required Skills/ Experience

Deep architecture and hands-on engineering experience with Databricks Mosaic AI, Model Serving, Agent Framework, MLflow tracing/evaluation, Vector Search, Unity Catalog, Delta Lake, Delta Live Tables, Lakehouse Monitoring, Feature Store, Databricks Workflows, Jobs and Model Training.
Strong ability to shape enterprise-grade AI architecture covering RAG, embeddings, vector databases, semantic retrieval, context engineering, multi-agent orchestration, tool calling, memory, model routing and GenAI evaluation.
Experience defining NFRs and architecture controls for performance, scalability, security, privacy, governance, observability, resiliency, cost optimization and operational readiness.
Ability to compare platforms, frameworks, foundation models and deployment patterns, making evidence-based technology recommendations and defensible architecture trade-offs.
Experience establishing AI gateway/control-plane patterns, agent registry and certification gates, authorization models, layered guardrails, model risk controls and production governance.
Strong stakeholder management and thought leadership skills with ability to communicate architecture decisions to executives, product leaders, security teams and engineering delivery teams.

Good to Have Skills

Databricks Machine Learning Professional, Data Engineer Professional or Generative AI certification exposure to Spark/PySpark, Unity Catalog governance, Delta Live Tables, MLflow, LangGraph/LangChain, model fine-tuning and lakehouse performance optimization.
Exposure to open-source AI and orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, MLflow, FastAPI, Docker and Kubernetes.
Experience with responsible AI, model risk management, AI governance boards, red-teaming, synthetic data, human-in-the-loop review, A/B testing and GenAI FinOps.
Recognized thought leadership through reusable architecture assets, platform accelerators, whitepapers, client advisory, internal capability building or conference/community participation.

15 years full time education

Apply Now

Refine Your Search

software architect jobs in pappampatti coimbatore tamil nadu

AI Infrastructure Architect

Large Language Model Architect

MEP Engineer

Senior Lead Full Stack Engineer

Design Engineer - (Home Interior)

Site Coordinator

Quantity Surveyor(Construction)

Lead Engineer - AIOps

Quantity Surveyor

Engineering Manager

Senior Engineer - AIOps

Front Office Associate

MEP Executive (Mechanical, Electrical, Plumbing)

Lead / Sr. AWS Connect Developer with Salesforce Service Cloud

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