Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Operations
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
Why PWC
At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more
At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: We are seeking an experienced Agentic Platform Engineer with strong hyperscaler cloud engineering skills and deep Python expertise to design, develop, and deploy intelligent agentic systems across PGC's multi-cloud, multi-platform estate. Unlike a single-cloud specialist role, this position demands genuine platform agnosticism — you will build agents that span Azure AI, Oracle Agentic Studio, and open-source Python frameworks, integrating with Oracle ERP/HCM, Pega, and ServiceNow as PGC transitions from UiPath RPA to next-generation autonomous agent architectures.
Responsibilities:
1. Multi-Cloud Architecture & Implementation
Design event-driven, async architectures using cloud messaging services (Azure Event Hub, AWS SQS/SNS, Apache Kafka)
2. Agentic AI Solutions Development
Architect and implement multi-agent systems: task decomposition, specialist sub-agents, orchestrator/supervisor patterns, swarm coordination
Implement RAG (Retrieval-Augmented Generation) pipelines: document ingestion, chunking, embedding, vector retrieval, re-ranking, response synthesis
Integrate and abstract multiple LLM providers: Azure OpenAI, OpenAI, Anthropic Claude, in a provider-agnostic pattern
Evaluate agent and LLM quality: implement RAGAS, LangSmith , PromptFlow , or custom evaluation harnesses in CI/CD
Apply prompt engineering best practices: chain-of-thought, structured prompting, output constraints, guardrails
Implement agentic workflows using LangChain , AutoGen , CrewAI , or similar — with a view to platform-specific integration (Oracle Agentic Studio, Semantic Kernel)
3. Cross-Platform Enterprise Integration
Build integrations between agentic systems and Oracle ERP/HCM, Pega, and ServiceNow platforms via REST APIs, webhooks, and event streams
Manage vector databases and knowledge store integrations: Pinecone, Chroma, Weaviate , pgvector , Azure AI Search
4. Backend Development with Python
Write clean, tested, and documented code — pytest coverage, type hints, linting (ruff, mypy ), CI enforcement
5. DevOps & Infrastructure
6. Collaboration & Delivery
Mandatory skill sets:
Production-level Python: FastAPI (primary), Flask, async patterns ( asyncio , aiohtt p )
Code quality: pytest , type hints, ruff/ mypy , dependency management (Poetry or pip-tools)
API design: RESTful best practices, versioning, OpenAPI /Swagger documentation
Hyperscaler & Cloud Services:
Azure (primary): Functions, App Service, AKS, API Management, Event Hub, Service Bus, Cosmos DB, Azure SQL, Azure Storage, Azure Monitor
AWS (secondary): Lambda, API Gateway, EKS, RDS, DynamoDB, S3, SQS/SNS, IAM
Oracle Cloud Infrastructure (OCI): awareness of OCI compute, OCI AI Services — not required at depth but expected familiarity
Docker, Kubernetes (AKS/EKS), Helm, container registries
Terraform (primary IaC ); CloudFormation or ARM/Bicep as secondary
Agentic AI & LLM Engineering:
Agentic frameworks: LangChain , AutoGen , CrewAI — production-level usage, not just tutorials
Oracle Agentic Studio: experience or strong willingness to be trained (critical for PGC delivery)
Semantic Kernel: familiarity a plus for Azure-aligned agent orchestration
LLM providers: Azure OpenAI (primary), OpenAI API, Anthropic Claude — provider-agnostic abstraction patterns
RAG pipelines: end-to-end design, embedding model selection, chunking, retrieval, response synthesis, evaluation
Vector databases: Pinecone, Chroma, Weaviate , pgvector , Azure AI Search — schema design, metadata filtering, hybrid search
LLM evaluation: RAGAS, LangSmith , PromptFlow , or custom evaluation harnesses
Multi-agent patterns: supervisor/worker, task delegation, inter-agent messaging, shared state
Structured output and tool/function calling: JSON mode, Pydantic models, tool schema definition
Agent memory: context window management, vector-based long-term retrieval, episodic session storage
Prompt engineering: chain-of-thought, structured prompts, guardrails, output constraints
SQL: Azure SQL / PostgreSQL — query optimization , indexing, partitioning
NoSQL: Azure Cosmos DB, DynamoDB — partition key strategy, TTL, read/write throughput
Vector store design for RAG: schema, metadata, hybrid (keyword + vector) search
Healthcare & Compliance Context (Preferred):
HIPAA compliance awareness in cloud architecture (PHI handling, audit logging, encryption at rest/transit)
HL7/FHIR API familiarity for healthcare data exchange
Basic understanding of healthcare operations: revenue cycle, claims, HR, procurement — the domains agents will automate
RPA-to-Agentic migration: understanding of process redesign from UiPath/RPA to agentic patterns
Preferred skill sets:
Node.js / Express.js (2+ years) — useful for lightweight API gateway or webhook integration work
Pega Platform integration experience (decision strategies, case management APIs)
ServiceNow Now Platform integration (Flow Designer, REST APIs, Now Assist/Virtual Agent)
Oracle Agentic Studio production experience (strong differentiator for this engagement)
AWS Bedrock, AWS SageMaker, or Google Vertex AI familiarity (secondary cloud AI services)
Kafka / event streaming experience for real-time agent trigger architectures
Azure certifications: AZ-305, AI-102; or AWS certifications: SAA-C03, MLS-C01
Healthcare GCC or BPO delivery background
Years of experience required:
5–8 years of proven cloud engineering with advanced architectural skills across Azure and/or AWS
Python-first engineer: you build agents, pipelines, and APIs in Python by default
3+ years hands-on Agentic AI delivery — production RAG pipelines, multi-agent systems, LLM evaluation — not just experimentation
Genuine platform agnosticism: you can integrate agents across Oracle, Azure, Pega, and ServiceNow without being married to one cloud
RAG and vector database fluency — you have designed, tuned, and evaluated a RAG system in production
Appetite to learn Oracle Agentic Studio — PGC's primary agentic orchestration platform is Oracle-stack, and you must be willing to master it
Healthcare curiosity — you care about the operational problems being solved, not just the tech
Leader mindset: can independently architect solutions, guide cross-skilling engineers, and drive end-to-end delivery
Education qualification:
5–8 years of proven cloud engineering with advanced architectural skills across Azure and/or AWS
Python-first engineer: you build agents, pipelines, and APIs in Python by default
3+ years hands-on Agentic AI delivery — production RAG pipelines, multi-agent systems, LLM evaluation — not just experimentation
Genuine platform agnosticism: you can integrate agents across Oracle, Azure, Pega, and ServiceNow without being married to one cloud
RAG and vector database fluency — you have designed, tuned, and evaluated a RAG system in production
Appetite to learn Oracle Agentic Studio — PGC's primary agentic orchestration platform is Oracle-stack, and you must be willing to master it
Healthcare curiosity — you care about the operational problems being solved, not just the tech
Leader mindset: can independently architect solutions, guide cross-skilling engineers, and drive end-to-end delivery
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Agentic Platforms
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement {+ 36 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
September 18, 2026
