AWS Gen AI Engineer - Senior Associate

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 AWS Gen AI Engineer - Senior Associate, you will be at the forefront of developing innovative software solutions to drive digital transformation and enhance business performance. Within our Technology Consulting practice, you will combine technical experience with creative thinking to design, code, and test applications that transform industries and deliver exceptional user experiences. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work even when the path forward isn’t clear.

In this role at PwC Acceleration Center India, you will leverage 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, using critical thinking to break down complex concepts. Your role will involve interpreting data to inform insights and recommendations, while upholding professional and technical standards. This is an opportunity to grow your skills and make a significant impact within a dynamic and supportive environment.

Responsibilities

- Developing innovative software solutions to drive digital transformation and enhance business performance

- Designing, coding, and testing applications that deliver exceptional user experiences across industries

- Utilizing Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD) methodologies to improve software quality

- Implementing microservices architecture and enterprise application integration for scalable solutions

- Conducting code reviews and debugging to maintain coding standards and software integrity

- Collaborating with teams to analyze business requirements and translate them into functional software designs

- Managing application lifecycle and software project planning to meet client needs and expectations

- Leveraging programming languages such as Java, Python, and JavaScript to develop robust applications

- Building meaningful client connections and anticipating the needs of teams and clients

- Navigating complex situations to grow personal brand and deepen technical skills

What You Must Have

- At least a Bachelor's degree

- At least 4 years of experience

- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering

- Demonstrating proficiency in Acceptance Test Driven Development (ATDD)

- Utilizing Continuous Integration/Continuous Delivery (CI/CD) methodologies

- Excelling in programming languages such as Python, Java, or C++

- Applying analytical thinking to solve complex software engineering challenges

- Navigating client relationships with effective communication and client management skills

- Leveraging experience in enterprise application architecture and integration

- Design and develop generative AI applications using Amazon Bedrock, Bedrock AgentCore, and foundation models.

- Build and optimize RAG pipelines using Bedrock Knowledge Bases with agentic retrieval, smart parsing, and multi-modal content support.

- Develop custom ML models using SageMaker (training, fine-tuning, and deployment via JumpStart and HyperPod).

- Implement prompt engineering, optimization, and fine-tuning workflows; leverage Intelligent Prompt Routing for cost optimization.

- Configure and manage Bedrock Guardrails for content safety, PII filtering, and hallucination mitigation with Automated Reasoning checks.

- Design data ingestion pipelines connecting enterprise sources (S3, SharePoint, Confluence, Google Drive, OneDrive, Web Crawler) to Knowledge Bases.

- Conduct model evaluation, benchmarking, and A/B testing across foundation models.

- Integrate GenAI capabilities into production applications using orchestration frameworks (LangChain, LlamaIndex, Strands Agents).

- Provide technical guidance to associates on AI/ML best practices.

Travel Requirements

Job Posting End Date