Live opening · Posted 7 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Greetings from Pwc!
Role- Devops Engineer( Mandatory skills AWS, AI ,MLOPS & LLMops, Kubernetes)Certification mandatory
Location- Hyderabad & Bangalore
Experience Required (9--13years)
Aws or Azure or Devops Certification mandatory
If interested Share cv on bommakanti.sai.vaidehi@pwc.com or WhatsApp on 6304776536 with below details
Total experience-
Relevant Experience-
Current location-
Preferred location-
Current CTC-
Expected CTC
Manager – Forward Deployment Engineer (DevOps, AI Deployment)
AI Deployment & DevOps Engineering | Forward Deployed Engineering
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
AWS enterprise-scale architecture experience.
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
Cloud & platform: AWS (Bedrock, SageMaker, EKS, Lambda, IAM), Kubernetes
Delivery & IaC: CI/CD (GitHub Actions, GitLab CI, ArgoCD), Terraform
AI productionisation: LLMOps / MLOps, model serving, evaluation, responsible AI, governance
Security & compliance: IAM, secrets management, network security, data governance
Good to have: Enterprise AI and data platforms (Palantir Foundry, Databricks, Snowflake), MLflow
Soft Skills & Competencies
Leadership of both a team and a customer relationship.
Stakeholder and customer management.
Decisive under pressure.
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.
Work arrangement
No
Recently tracked roles with full details and direct application links.