Site Reliability Engineer (AWS & AI)

PwC Acceleration Center India; Hyderabad; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

PwC Acceleration Center India is seeking an engineering leader to own how AI solutions are deployed into enterprise environments across a set of accounts. You will own delivery, standards, and the customer relationship, and set the direction for building, securing, and operating AI applications in production on AWS.

You will set direction for CI/CD, Infrastructure as Code, cloud architecture, security, and MLOps/LLMOps, and lead the responsible integration of AI solutions into legacy enterprise

Qualifications

• Extensive DevOps or platform engineering experience, including leading teams and owning delivery at scale.
• Current depth in AWS, Kubernetes, CI/CD, and Infrastructure as Code.
• Proven enterprise integration experience with security, identity, and governance constraints.
• Proven ownership of delivery outcomes and senior customer relationships.
• A clear strategy for productionising AI at scale (LLMOps/MLOps), including responsible AI, backed by delivery experience.
• Strong leadership and communication skills; decisive under pressure.

Responsibilities

• Own the delivery of AI deployment work across your accounts, including scope, quality, timelines, and standards.
• Set direction and standards for CI/CD, Infrastructure as Code, cloud architecture, security, and MLOps/LLMOps.
• Lead the responsible integration of AI solutions into legacy and regulated enterprise environments at scale.
• Act as senior escalation and decision-maker on complex or high-stakes deployments.
• Build reusable accelerators and patterns that raise deployment quality across the practice.
• Build, lead, and grow the team through hiring, coaching, and development.
• Own senior customer relationships and communicate progress, risks, and value.
• Surface delivery friction and product gaps to leadership as structured field intelligence.

Skills

Delivery leadership

CI/CD

IaC

AWS

Kubernetes

Security & governance

Stakeholder management

Leadership

LLMOps/MLOps

Customer relationships

Tools

GitHub Actions

GitLab CI

ArgoCD

Terraform

Job description

Experience Required (9--13years)

Aws or Azure or Devop's Certification mandatory

Job Summary

An engineering leader who owns how AI solutions are deployed into enterprise environments across a set of accounts. You will own delivery, standards, and the customer relationship, and set the direction for building, securing, and operating AI applications in production on AWS.

Key Responsibilities

• Own the delivery of AI deployment work across your accounts, including scope, quality, timelines, and standards.
• Set direction and standards for CI/CD, Infrastructure as Code, cloud architecture, security, and MLOps/LLMOps.
• Lead the responsible integration of AI solutions into legacy and regulated enterprise environments at scale.
• Act as senior escalation and decision-maker on complex or high-stakes deployments.
• Build reusable accelerators and patterns that raise deployment quality across the practice.
• Build, lead, and grow the team through hiring, coaching, and development.
• Own senior customer relationships and communicate progress, risks, and value.
• Surface delivery friction and product gaps to leadership as structured field intelligence.

Required Qualifications

• Extensive DevOps or platform engineering experience, including leading teams and owning delivery at scale.
• Current depth in AWS, Kubernetes, CI/CD, and Infrastructure as Code.
• Proven enterprise integration experience with security, identity, and governance constraints.
• Proven ownership of delivery outcomes and senior customer relationships.
• A clear strategy for productionising AI at scale (LLMOps/MLOps), including responsible AI, backed by delivery experience.
• Strong leadership and communication skills; decisive under pressure.

Preferred Qualifications

• Enterprise AI and data platforms (Palantir Foundry, Databricks, Snowflake).
• A background in consulting or managed services.
• Experience in regulated industries.
• A leadership or delivery certification (e.g., PMP, SAFe).
• AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional.

Technical Skills & Tools

• Delivery & IaC: CI/CD (GitHub Actions, GitLab CI, ArgoCD), Terraform
• Security & compliance: IAM, secrets management, network security, data governance
• Good to have: Enterprise AI and data platforms (Palantir Foundry, Databricks, Snowflake), MLflow
• Leadership of both a team and a customer relationship.
• Stakeholder and customer management.
• Coaching and people development.

Experience Required

9–12 years, including team and delivery leadership.

Reporting & Team

Leads a team of forward-deployed engineers embedded with customers, within our Forward Deployed Engineering practice.

Location & Work Model

• Location: Anywhere in India, with a preference for Bengaluru or Hyderabad.
• Work model: Forward-deployed and customer-facing; embedded within an enterprise client's team.
• Working hours: Overlap with client business hours (including US / EST), with occasional deployment support.