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Coimbatore · On-site · 5-8 Yrs · 5 days ago
1 views
21 open roles4 posted in 7d21 in 30d
Hiring: Engineering
Job description
Overview
Project Role : AI Infrastructure Architect
Responsibilities
- AI Powered Tech Talent
- Support deployment automation and CI/CD pipelines for AI systems, models and applications using tools such as Git, Bicep/ARM/Terraform, Azure DevOps/GitHub Actions, Docker, Kubernetes and workflow orchestration tooling.
- Deploy and operate AI services, model-serving components and data pipelines while applying reliability, security, cost-efficiency and scalability practices.
- Collaborate with data scientists, ML engineers, platform engineers and architects to integrate AI models into enterprise systems while meeting compliance and operational requirements.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related engineering field.
- Minimum 2 years of experience coding, building, monitoring or troubleshooting AI/ML infrastructure, data platforms, model deployment pipelines or cloud/platform engineering solutions.
- Strong understanding of AI/ML concepts and the compute, storage, networking, security and deployment foundations required to run AI workloads.
- Minimum 2 years of proficiency in programming or scripting languages such as Python, Java, C++, Bash or PowerShell.
- Strong problem-solving ability, communication skills and collaboration mindset in a fast-paced engineering environment.
- Hands-on experience with Azure services relevant to AI infrastructure such as Azure VMs, AKS, Azure Machine Learning, Azure Storage, Azure Virtual Network, Azure Monitor, Log Analytics and Azure DevOps/GitHub Actions.
- Working knowledge of Bicep/ARM/Terraform, Docker, Kubernetes, CI/CD pipelines and observability practices.
- Ability to optimize infrastructure for performance, reliability, scalability, cost and security.
- Understanding of MLOps patterns including experiment tracking, model registry, model deployment, monitoring and rollback approaches.
Nice to have
- Minimum 5 year(s) of experience is required
- Azure certification such as Azure Administrator, Azure Developer, Azure Solutions Architect, Azure AI Engineer or Azure Data Engineer.
- Exposure to industry use cases in BFSI, healthcare, retail/e-commerce, telecom, manufacturing or public sector where AI infrastructure must meet compliance, reliability and data-governance expectations.
- Familiarity with large language model infrastructure, vector databases, retrieval pipelines, GPU scheduling or model optimization techniques.
- Knowledge of security controls, FinOps practices, incident management and production support processes for enterprise AI platforms.
Education
- Role Summary /
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Job application FAQ
Last updated 26 October 2026
- How do I apply for AI Agents & Workflow Integration at Accenture?
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- Is AI Agents & Workflow Integration remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI Agents & Workflow Integration role at Accenture?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.