Industry/Sector

Specialism

Management Level

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 AI Engineer - Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving informed decision-making and business growth. Within our Data and Analytics Engineering practice, you will focus on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. As a Senior Associate, you will build meaningful client connections, manage and inspire others, and navigate increasingly complex situations. You will anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities for growth.

In this role at PwC Acceleration Center India, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will develop a deeper understanding of the business context and how it is evolving, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will reinforce the firm's code of conduct and independence requirements. This position offers a unique opportunity to deepen your skills and grow your personal brand while contributing to the firm's overall business strategies.

Responsibilities

- Proficient in Python (typing, pytest, logging, async) with hands-on experience in Mest, and skilled in SQL for data manipulation.

- Experienced with Git and CI/CD platforms (GitHub Actions, Jenkins, Azure DevOps, or GitLab CI), building automated pipelines for build, test, deployment, and rollback.

- Hands-on expertise with AWS, Azure, or GCP for compute, storage, IAM/RBAC, secrets management, and infrastructure automation using AWS CDK and Terraform.

- Utilized Databricks Asset Bundles to optimize data workflows and accelerate data processing.

- Knowledgeable in LLM frameworks such as LangGraph, CrewAI, or Strands, including building evaluation pipelines and applying guardrails for PII redaction, injection defense, and output validation.

- Implemented LLM observability with tracing, metrics (token, latency, cost), failure analysis, and managed cost/quota strategies including TPM/RPM limits and caching.

What You Must Have

- Bachelor's & Master Degree

- 4 years of experience

- Oral and written proficiency in English required

What Sets You Apart

- Designed and managed secure cloud networking architectures including VPCs with subnets, security groups, NAT gateways, and private connectivity (PrivateLink), ensuring robust traffic control and segmentation.

- Implemented scalable load balancing and DNS solutions using ALB/NLB and Route 53 to optimize application availability and performance.

- Ensured data security through encryption strategies (KMS/CMK), certificate management, and protecting data at-rest and in-transit.

- Administered cloud identity and access management across AWS IAM and Azure Entra ID, including roles, policies, cross-account access, app registrations, managed identities, and conditional access for secure authorization.

- Integrated SSO/SAML and automated secrets rotation to enforce strong authentication and streamline credential management, maintaining compliance with SOC 2, GDPR, and audit requirements.

- Developed and secured APIs with FastAPI using async endpoints, dependency injection, and middleware, incorporating OAuth2/OIDC, JWT validation, rate limiting, and CORS for controlled access and scalability.

- Leveraged messaging and event streaming platforms such as Kafka/MSK, Google Pub/Sub, SQS/SNS, EventBridge, and Kinesis to enable reliable, scalable event-driven architectures.

- Built robust data platforms using Databricks (Delta Lake, Unity Catalog), Snowflake, BigQuery, and orchestrated workflows via Airflow, Dagster, and Step Functions to streamline data processing and analytics pipelines.

Travel Requirements

Job Posting End Date