ML Ops & LLM Ops Engineer-Senior Associate-Analytics as service - Consult

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an ML Ops & LLM Ops Engineer-Senior Associate-Analytics as service - Consult, you will play a pivotal role in delivering managed services that streamline operations, reduce costs, and enhance efficiency for our clients. Within our Technology Consulting practice, you will focus on transitioning and managing services, overseeing delivery teams, and optimizing processes to provide exceptional service. Your work will involve continuous improvement and the strategic management of delivery risk.

As a Senior Associate, you will build meaningful client relationships and learn how to manage and inspire others. You will navigate complex situations, growing your personal brand and technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward is unclear. In this role at PwC Acceleration Center India, you will leverage your skills in project management, technology, and process optimization to deliver impactful services to clients, using a broad range of tools and methodologies to generate new ideas and solve problems. This position offers a unique opportunity to deepen your understanding of the business context and contribute to the firm's overall strategies.

Responsibilities

- Managing and optimizing managed services processes and tools to enhance client operations
- Leading delivery teams in the execution of service management strategies and performance improvement initiatives
- Utilizing project management skills to streamline operations and reduce costs for clients
- Developing and implementing automation frameworks to improve service delivery and operational efficiency
- Engaging with stakeholders to identify opportunities for business process improvement and transformation
- Analyzing complex data to inform insights and recommendations for continuous process improvement
- Upholding professional and technical standards in all client engagements
- Collaborating with clients to understand their needs and deliver tailored managed services solutions
- Mentoring junior team members to foster skill development and professional growth

Key Responsibilities

• Own the deployment architecture for AI solutions on AWS.

• Design and own CI/CD, Infrastructure as Code, and release standards across engagements.

• Lead integration of AI solutions into legacy and regulated environments, respecting identity, security, and governance.

• Set up scalable model and agent serving, with the vector and retrieval infrastructure behind it.

• Establish observability, evaluation, and cost controls for AI workloads in production.

• Define a practical approach to security, governance, and responsible AI for deployments.

• Build reusable deployment accelerators, and mentor engineers.

• Bring field learnings and product gaps back to the wider practice.

Required Qualifications

• Substantial DevOps or platform engineering experience with ownership of production deployments.

• Deep CI/CD, Docker, and Kubernetes experience, with strong Terraform / IaC.

• Strong AWS fluency across deployment-relevant services.

• Strong grounding in identity, security, and networking, and enterprise integration.

• Solid automation skills and a habit of codifying build and run processes.

• Deep, hands-on experience deploying LLM and agentic applications to production (LLMOps), including serving, scaling, retrieval infrastructure, observability, evaluation, and responsible AI.

Preferred Qualifications

• Enterprise AI platforms (Palantir Foundry, Databricks, Snowflake) and MLOps tooling at scale.

• Experience in regulated industries.

• SRE or reliability experience.

• Prior consulting, customer success, or forward-deployed work.

• AWS Certified DevOps Engineer – Professional and/or AWS Certified Solutions Architect – Professional; CKA or a cloud AI/ML certification.

Technical Skills & Tools

• Cloud (AWS): Bedrock, SageMaker, Lambda, ECS, EKS, Step Functions, S3, API Gateway, IAM, CloudWatch

• Containers & IaC: Docker, Kubernetes, Helm, Terraform (modules), Ansible

• CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD (GitOps)

• AI deployment (LLMOps): model and agent serving and scaling, RAG & vector databases, evaluation, prompt versioning

• Observability & cost: OpenTelemetry, Langfuse, Prometheus, Grafana

• Security & governance: IAM, secrets management, network security, responsible-AI controls

• Scripting: Python, Go, Bash

• Good to have: MLOps at scale (MLflow, model registries, feature stores), Databricks, Snowflake, Palantir Foundry

Soft Skills & Competencies

• Takes ownership of deployment outcomes.

• Clear communication with client stakeholders.

• Mentors engineers and sets standards.

• Sound judgement on security, governance, and responsible AI.

Experience Required

6–9 years.

Reporting & Team

Embedded with an enterprise customer as the technical owner for deployment, within our Forward Deployed Engineering practice; mentors engineers on the team.

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.
  
  What Sets You Apart
  
  - Utilizing Automation Framework Design and Development
  - Excelling in Business Process Automation (BPA)
  - Demonstrating skills in Operational Performance Management (OPM)
  - Managing Service Level Management effectively
  - Delivering excellence in Workflow Automation
  - Engaging in Continuous Process Improvement
  - Navigating complex client relationships with ease

Travel Requirements

Not Specified

Job Posting End Date