Associate AWS Bedrock Engineer

IN_ Associate_ AWS Bedrock Engineer_D&A_Advisory_PAN India

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.*Why PWCAt 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 about us.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: A career within….

Responsibilities:
Key Responsibilities:
-    Design, develop, and deploy AI/ML applications using AWS Bedrock foundation models.
-    Integrate foundation models into business workflows, APIs, and applications.
-    Collaborate with data scientists, engineers, and product teams to operationalize AI/ML solutions.
-    Implement secure, scalable, and cost-optimized infrastructure using AWS services.
-    Build and maintain CI/CD pipelines for ML model deployment and versioning.
-    Monitor application performance and optimize for low latency and high availability.
-    Manage access, policies, and governance related to Bedrock-enabled applications.
-    Stay updated with AWS Bedrock features and industry best practices.
Required Skills and Experience:
-    Strong hands-on experience with AWS services including AWS Bedrock, Lambda, API Gateway, S3, IAM, CloudFormation, and CloudWatch.
-    Experience integrating foundation models and AI/ML APIs into production systems.
-    Proficiency in Python or other relevant programming languages used in AI/ML workflows.
-    Knowledge of machine learning concepts, model training, deployment, and inference.
-    Familiarity with containerization (Docker) and orchestration (ECS, EKS).
-    Understanding of security best practices in cloud-native AI applications.
-    Experience with infrastructure as code (IaC) tools like Terraform or AWS CloudFormation.
-    Strong problem-solving skills and collaborative mindset.
Mandatory skill sets:
AWS Bedrock
Preferred skill sets:
AWS Bedrock
Years of experience required:
2-5
Education qualification:
B. Tech/MBA/MCA / M. Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Bedrock

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Experience Level

Senior Level