[Remote] AI Delivery Engineer - AWS Bedrock

November 9, 2026

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Note: The job is a remote job and is open to candidates in USA. Kunai is hiring an AI Delivery Engineer to work on PwC’s client-facing generative AI team. The role builds AI applications on Amazon Bedrock and AWS, from discovery and prototyping through production release and handoff, while working directly with client users and technical teams.

Responsibilities

Map client workflows with business users and process owners, then define use cases, delivery backlogs, and measurable acceptance criteria
Build working prototypes early and test them against representative client data and user feedback
Develop 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 using AWS Lambda, Amazon SageMaker, and approved data sources, with authentication and permission-aware access through AWS IAM
Write automated tests and AI evaluations, and build deployment pipelines, monitoring, and error handling
Assess each solution against agreed release criteria for quality, safety, latency, reliability, and cost
Configure Amazon Bedrock Guardrails and work with security, privacy, and risk specialists to turn requirements into technical controls, audit evidence, and human review steps
Co-build with client engineers and provide documentation, runbooks, and knowledge transfer so the client team can operate the solution
Contribute reusable components, evaluation assets, and implementation patterns to PwC’s engineering community, within client confidentiality and IP obligations
Support pursuits through technical demonstrations, feasibility assessments, and delivery estimates

Skills

4+ years of experience building and deploying production software
3+ years of experience writing Python in production
3+ years of experience building on AWS, including AWS Lambda and AWS IAM
1+ year of experience building applications that use LLMs, including retrieval, structured outputs, tool calling, or agent workflows
Experience working directly with clients or business stakeholders to clarify requirements and demonstrate progress
Experience with version control, automated testing, and deployment pipelines
Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: <>
Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required
Delivery experience with Amazon Bedrock, Bedrock AgentCore, Bedrock Knowledge Bases, Bedrock Guardrails, or Amazon SageMaker
Experience building at least one production application on AWS that calls a foundation model through Amazon Bedrock or another model API
Experience building evaluation datasets, adversarial tests, or AI observability for a production system
Experience with enterprise search, document processing, or structured and unstructured data pipelines
Experience building tools or integrations using APIs or Model Context Protocol
Proficiency in a second language such as TypeScript, Java, or Go
AWS Certifications, such as Solutions Architect – Professional or Associate, or Certified Generative AI Developer
Experience in financial services, consumer markets, or technology, media, and telecommunications, which make up PwC's client base
Experience mentoring engineers

Benefits

Annual discretionary bonus
Medical benefits
Dental benefits
Vision benefits
401(k)
Holiday pay
Vacation
Personal and family sick leave
Professional development opportunities
Flexible work arrangements

Company Overview

Kunai is now part of the PwC network: ----- Kunai was born from experience. It was founded in 2015, and is headquartered in San Ramon, California, USA, with a workforce of 201-500 employees. Its website is

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