AI Delivery Engineer – AWS Bedrock

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with business users and process owners to map client workflows, defining use cases, delivery backlogs, and measurable acceptance criteria.

• Create early working prototypes and evaluate them using representative client data and user feedback.

• Design agent workflows, retrieval and grounding, tool calling, and APIs using Python, Amazon Bedrock, Bedrock AgentCore, and Bedrock Knowledge Bases.

• Integrate AI solutions with client systems utilizing AWS Lambda, Amazon SageMaker, and authorized data sources, ensuring authentication and permission-aware access via AWS IAM.

• Develop automated tests and AI assessments, and establish deployment pipelines, monitoring, and error handling procedures.

• Evaluate each solution against established release criteria for quality, safety, latency, reliability, and cost-effectiveness.

• Set up Amazon Bedrock Guardrails and collaborate with security, privacy, and risk specialists to transform requirements into technical controls, audit evidence, and human review processes.

• Work alongside client engineers to create documentation, runbooks, and facilitate knowledge transfer for the client team to manage the solution effectively.

• Contribute reusable components, evaluation assets, and implementation patterns to PwC’s engineering community, while adhering to client confidentiality and IP commitments.

• Assist in pursuits through technical demonstrations, feasibility studies, and delivery estimations.

• Partner with client teams to transition AI applications from discovery workshops to prototype and production release, including handoff procedures.

• Allocate approximately 70% of time to development on Amazon Bedrock and associated AWS services, and 30% interacting directly with client users and technical teams.

⛳️ Requirements

• Minimum of 4 years experience in building and deploying production software.

• At least 3 years of experience writing Python in a production environment.

• A minimum of 3 years of experience working on AWS, including AWS Lambda and AWS IAM.

• Over 1 year of experience creating applications that utilize LLMs, including retrieval, structured outputs, tool calling, or agent workflows.

• Demonstrated experience working directly with clients or business stakeholders to clarify requirements and showcase progress.

• Proficient in version control, automated testing, and deployment pipelines.

• Ability to travel up to 70%, typically from Monday to Thursday, including on-site engagements with clients.

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.

• Experience delivering solutions using Amazon Bedrock, Bedrock AgentCore, Bedrock Knowledge Bases, Bedrock Guardrails, or Amazon SageMaker.

• Proven experience developing at least one production application on AWS that interacts with a foundation model via Amazon Bedrock or another model API.

• Familiarity with building evaluation datasets, adversarial tests, or AI observability for production systems.

• Experience in enterprise search, document processing, or managing structured and unstructured data pipelines.

• Capability in developing tools or integrations using APIs or Model Context Protocol.

• Proficient in a second programming language such as TypeScript, Java, or Go.

• AWS Certifications, such as Solutions Architect – Professional or Associate, or Certified Generative AI Developer.

• Background in financial services, consumer markets, or technology, media, and telecommunications.

• Experience mentoring engineers.

🏝️ Benefits

• Annual discretionary bonus.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401k.

• Holiday pay.

• Vacation.

• Personal and family sick leave.

• Professional development opportunities.

• Flexible work arrangements.

• Competitive compensation.