Job Opportunity For COE Lead requirement

3i Infotech

Posted: 4 months ago
Openings: 10
Applicants: 0

Job Description

Experience: 1218 Years

Employment Type: Full-time

Industry: IT Services / System Integration / Managed Services / Digital Transformation

About the Role We are looking for a COE Head – AI, Tools & Automation Centre of Excellence (CoE) to build and scale a horizontal, automation-first CoE spanning Cybersecurity, Cloud, Data Center Operations and Digital Workplace. This role will drive tool standardization, platform integration, AI-driven automation, AIOps and unified observability across the organization. The incumbent will enable faster delivery, operational efficiency, predictive operations and differentiated managed services through deep integration of tools, APIs and data. This is a strategic leadership role combining architecture, automation engineering, AI enablement and platform governance. Key Responsibilities AI, Tools & Automation CoE Build

Establish and lead the AI / Tools / Automation CoE across infrastructure and digital services.
Define the automation strategy, tooling roadmap and integration standards.
Build reusable automation frameworks, accelerators and platforms.
Own the vision for automation-first and AI-led managed services. Platform & Tool Integration
Lead application and platform integration across: o Cloud platforms (AWS, Azure, OCI) o Cybersecurity tools (SIEM, SOAR, EDR, MDR, CSPM) o Data Center & Infrastructure tools o Digital Workplace & ITSM platforms
Design API-driven integrations to enable: o Cross-tool workflows o Event correlation o End-to-end visibility
Drive standardization and rationalization of tools across practices. AI, AIOps & Intelligent Automation
Design and implement AIOps frameworks including: o Predictive monitoring and alerting o Noise reduction and event correlation o Automated root cause analysis
Drive AI-driven automation across: o Incident detection and remediation o Capacity planning and forecasting o Performance and availability optimization
Enable self-healing and closed-loop automation use cases. Centralized Dashboards & Observability
Build unified, centralized dashboards across domains using: o BI platforms (example) o Grafana-based observability stacks as (example) o Custom analytics and reporting layers
Enable single-pane-of-glass views for: o Operations teams o Management and leadership o Customers (SLA, KPIs, experience metrics)
Drive data normalization and analytics readiness across tools. Solution Architecture & Pre-Sales Enablement
Act as chief architect for automation-led transformation deals.
Support RFPs and large programs with: o Automation-driven solution designs o Tool integration architectures o AI-enabled operations narratives
Translate operational pain points into scalable automation solutions. Delivery Governance & Capability Building
Provide technical oversight to automation and platform teams.
Ensure security, scalability, reliability and compliance of automation frameworks.
Help Build and mentor teams across: o Automation engineers o Platform architects o AIOps specialists
Define skill matrices, training paths and certification roadmaps. Required Skills & Expertise
Strong experience in tools, platforms, and automation architecture across: o Cloud (AWS, Azure, OCI) o Cybersecurity (SIEM, SOAR, EDR, MDR, CSPM) o Data Center & Infrastructure Operations o Digital Workplace & ITSM
Proven expertise in: o API-based integration and orchestration o Automation frameworks and workflow engines o AIOps and intelligent monitoring
Hands-on experience with: o Centralized dashboards and observability platforms (e.g., Grafana, BI tools) o Data aggregation, normalization, and analytics
Strong understanding of managed services and enterprise operations models.
Experience in IT services / system integrator / managed services environments preferred. Experience & Qualifications
12–18 years of experience in IT operations, automation, platforms, or digital transformation
Proven track record of: o Building or scaling automation / tools / platform CoEs o Leading cross-domain integration initiatives o Client-facing architecture and advisory roles
Bachelor’s degree in Engineering, Computer Science, or related field
Relevant certifications in cloud, automation, or AI platforms preferred Who Should Apply
Automation Practice Heads, Platform Architects, AIOps Leaders
Professionals passionate about AI-led operations and intelligent automation
Leaders who enjoy building horizontal platforms that scale across domains