Lead Engineer - AIOps

Presidio, Inc.; Chennai District; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Presidio, Inc. is seeking a Lead AIOps Engineer to operate at the intersection of application development, platform engineering, and AI-driven operations in Chennai, India.

You will own technical workstreams, guide a small team, and bridge engineering with client needs while ensuring high quality solutions. You will drive AI-accelerated development practices, define strategies for integrating AI/ML into operational workflows, and oversee CI/CD and containerized deployments on Kubernetes.

Qualifications

• Experience leading AI-enabled development projects across software and platform engineering.
• Strong understanding of cloud, DevOps, and dataOps/MLOps practices.
• Ability to design scalable, maintainable architectures and guide teams.

Responsibilities

• Leads the design and architecture of software and platform solutions by deeply understanding business needs; translating requirements into scalable, maintainable system designs across the full software development lifecycle.
• Evaluates operational and technical feasibility of proposed solutions; provides architectural guidance and sign-off on solution approaches across the team.
• Owns documentation standards — establishing and enforcing best practices for flowcharts, architecture diagrams, code comments, and technical specifications across the team.
• Defines system specifications, standards, and programming guidelines; ensures solutions are built to those standards consistently across delivery workstreams.
• Leads the design and operationalization of AIOps platforms that automate event correlation, anomaly detection, and incident remediation across client environments; accountable for platform reliability and outcomes.
• Defines the strategy for integrating AI/ML models into operational workflows — including predictive alerting, root-cause analysis, and capacity forecasting — and oversees implementation by the engineering team.
• Architects RAG pipelines and Agentic AI workflows; makes key technology and design decisions, and guides senior and junior engineers through implementation.
• Owns and enforces the AI Development Lifecycle (AIDLC) across the team — setting standards for problem framing, data readiness, model selection, integration, testing, deployment, monitoring, and responsible AI practices.
• Drives AI-accelerated development practices across the team — establishing norms for the usage of tools such as Claude, ChatGPT, Cursor, and GitHub Copilot to improve engineering velocity, code quality, and delivery outcomes.
• Owns CI/CD pipeline architecture and infrastructure-as-code standards; reviews and approves pipeline designs before production deployment.
• Oversees containerized workload strategy on Kubernetes (EKS, AKS, or on-prem) — including cluster design, scaling policies, and operational runbooks.
• Leads observability strategy definition — establishing metrics, logs, and traces standards organisation-wide and driving adoption of AI-driven insights into monitoring dashboards.
• Identifies and pursues automation and process improvement opportunities; conducts systems analysis and recommends changes in policies, tooling, and engineering procedures at both team and client levels.
• Updates job knowledge by staying current with state-of-the-art development tools, programming techniques, and emerging technologies; participates in industry communities and networks.
• Mentors and develops engineers across the team — providing technical guidance, career coaching, code review, and educational opportunities.

Skills

AI Development

Platform Engineering

DevOps

Programming

Data

Tools

AWS

Azure

GCP

Kubernetes

PostgreSQL

MongoDB

NodeJS

React/Angular/Vue

GitHub Copilot

Job description

Chennai, India
Chennai, INDIA
IndiQube Alpine
Level 7 & 8 Door No.51, Jawaharlal Nehru Road, Block No.4
Chennai, TN 600032, IND

Chennai, India
Chennai, INDIA
IndiQube Alpine
Level 7 & 8 Door No.51, Jawaharlal Nehru Road, Block No.4
Chennai, TN 600032, IND

Coimbatore, India
1st Floor, Tower C, India Land Tech Park Pvt Ltd
KGISL Infrastructures Pvt Ltd
Coimbatore, TN 641035, IND

Coimbatore, India
1st Floor, Tower C, India Land Tech Park Pvt Ltd
KGISL Infrastructures Pvt Ltd
Coimbatore, TN 641035, IND

Presidio, Where Teamwork and Innovation Shape the Future

AtPresidio, we’re at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses—and their customers—to achieve more through innovation, automation, and intelligent insights.

The Role

As a Lead AIOps Engineer, you will operate at the intersection of application development, platform engineering, and AI-driven operations — taking ownership of technical workstreams, guiding your team through delivery, and ensuring solutions meet client expectations at every stage. You will make day-to-day technical decisions, provide hands-on direction, and bridge the gap between engineering execution and client needs, ensuring solutions are well-designed, maintainable, and delivered with quality.

This is a role for someone who is equally comfortable writing code and leading a small team — driving engineering rigour, championing AI-accelerated development practices, and contributing to a culture of continuous improvement. You will engage with clients during delivery, participate in solution design discussions, and represent Presidio's engineering standards as a trusted practitioner on the ground.

Required Skills

AI Development:

• AI adoption for development & operations activities
• AI-accelerated development using tools such as Claude, ChatGPT, Cursor, GitHub Copilot, etc.
• AI/ML model integration for Ops use cases
• RAG (Retrieval-Augmented Generation) development
• Agentic AI / autonomous workflow development

Platform & Application Engineering:

• Cloud: AWS or Azure (preferred); GCP considered
• Computing / Networking Services
• Database / Storage Services
• Serverless concepts / Deployments

DevOps:

• Observability & monitoring toolchains

Programming Skills:

• Frameworks (any one or two): Angular, React, Vue.js with NodeJS
• Databases: Relational (Postgres, MySQL, Oracle, etc.) and NoSQL (MongoDB, Amazon DynamoDB, Cassandra, etc.)
• Back-end development and basic microservices implementation
• Data (any one or two): Data Migration/Modernization, Data Engineering, DataOps / MLOps, etc.

Job Responsibilities

• Leads the design and architecture of software and platform solutions by deeply understanding business needs; translating requirements into scalable, maintainable system designs across the full software development lifecycle.
• Evaluates operational and technical feasibility of proposed solutions; provides architectural guidance and sign-off on solution approaches across the team.
• Owns documentation standards — establishing and enforcing best practices for flowcharts, architecture diagrams, code comments, and technical specifications across the team.
• Defines system specifications, standards, and programming guidelines; ensures solutions are built to those standards consistently across delivery workstreams.
• Leads the design and operationalization of AIOps platforms that automate event correlation, anomaly detection, and incident remediation across client environments; accountable for platform reliability and outcomes.
• Defines the strategy for integrating AI/ML models into operational workflows — including predictive alerting, root-cause analysis, and capacity forecasting — and oversees implementation by the engineering team.
• Architects RAG pipelines and Agentic AI workflows; makes key technology and design decisions, and guides senior and junior engineers through implementation.
• Owns and enforces the AI Development Lifecycle (AIDLC) across the team — setting standards for problem framing, data readiness, model selection, integration, testing, deployment, monitoring, and responsible AI practices.
• Drives AI-accelerated development practices across the team — establishing norms for the usage of tools such as Claude, ChatGPT, Cursor, and GitHub Copilot to improve engineering velocity, code quality, and delivery outcomes.
• Owns CI/CD pipeline architecture and infrastructure-as-code standards; reviews and approves pipeline designs before production deployment.
• Oversees containerized workload strategy on Kubernetes (EKS, AKS, or on-prem) — including cluster design, scaling policies, and operational runbooks.
• Leads observability strategy definition — establishing metrics, logs, and traces standards organisation-wide and driving adoption of AI-driven insights into monitoring dashboards. Drives client engagement across the full lifecycle — leading discovery workshops, owning solution design, presenting architecture proposals, and participating in pre-sales activities and client governance reviews.
• Identifies and pursues automation and process improvement opportunities; conducts systems analysis and recommends changes in policies, tooling, and engineering procedures at both team and client levels.
• Updates job knowledge by staying current with state-of-the-art development tools, programming techniques, and emerging technologies; actively participates in industry communities, publications, and professional networks.
• Mentors and develops engineers across the team — providing technical guidance, career coaching, code review, and educational opportunities; accountable for raising the overall capability of the engineering team.

Your future at Presidio

JoiningPresidiomeans stepping into aculture of trailblazers—thinkers, builders, and collaborators—who push the boundaries of what’s possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world.

Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you’ll be part of a team that is shaping the future.

Ready to innovate? Let’s redefine what’s next—together.

About Presidio

At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio’s expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com .

Presidio is committed to hiring the most qualified candidates to join our amazing culture. We aim to attract and hire top talent from all backgrounds, including underrepresented and marginalized communities. We encourage women, people of color, people with disabilities, and veterans to apply for open roles at Presidio. Diversity of skills and thought is a key component to our business success.