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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

AWS Generative AI Engineer Senior Associate

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least a Bachelor's degree is required.
  • At least 4 years of experience is required.
  • Oral and written proficiency in English is required.

Responsibilities

  • Develop innovative software solutions to drive digital transformation and enhance business performance.
  • Design, code, and test applications that deliver user experiences across industries.
  • Use Acceptance Test Driven Development and Continuous Integration/Continuous Delivery methodologies to improve software quality.
  • Implement microservices architecture and enterprise application integration for scalable solutions.
  • Conduct code reviews and debugging to maintain coding standards and software integrity.
  • Collaborate with teams to analyze business requirements and translate them into functional software designs.
  • Manage application lifecycle and software project planning to meet client needs and expectations.
  • Use programming languages such as Java, Python, and JavaScript to develop applications.
  • Build client connections and anticipate the needs of teams and clients.
  • Navigate complex situations while deepening technical skills.
  • Design and develop generative AI applications using Amazon Bedrock, Bedrock AgentCore, and foundation models.
  • Build and optimize retrieval-augmented generation pipelines using Bedrock Knowledge Bases with agentic retrieval, smart parsing, and multimodal content support.
  • Develop custom machine learning models using SageMaker, including training, fine-tuning, and deployment via JumpStart and HyperPod.
  • Implement prompt engineering, optimization, and fine-tuning workflows, and use Intelligent Prompt Routing for cost optimization.
  • Configure and manage Bedrock Guardrails for content safety, personally identifiable information filtering, and hallucination mitigation with Automated Reasoning checks.
  • Design data ingestion pipelines connecting enterprise sources, including S3, SharePoint, Confluence, Google Drive, OneDrive, and Web Crawler, to Knowledge Bases.
  • Conduct model evaluation, benchmarking, and A/B testing across foundation models.
  • Integrate generative AI capabilities into production applications using orchestration frameworks such as LangChain, LlamaIndex, and Strands Agents.
  • Provide technical guidance to associates on AI and machine learning best practices.

Desired Qualifications

  • A degree in at least one of the following fields of study is preferred: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems or Technology, Machine Learning, Management Information Systems, or Software Engineering.
  • Proficiency in Acceptance Test Driven Development is preferred.
  • Experience using Continuous Integration/Continuous Delivery methodologies is preferred.
  • Proficiency in programming languages such as Python, Java, or C++ is preferred.
  • Analytical thinking applied to complex software engineering challenges is preferred.
  • Effective communication and client management skills for navigating client relationships are preferred.
  • Experience in enterprise application architecture and integration is preferred.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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