Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
🏢 About PwC
As an AI Delivery Engineer on PwC’s client-facing Generative AI team, you work alongside client teams to turn business problems into AI applications that people use every day. You join a multidisciplinary delivery pod and take work from first discovery workshop through prototype, production release, and handoff to the client’s own engineers. 70% of your time is spent building on Amazon Bedrock and related AWS services, 30% working directly with client users and technical teams.
🎯 The Role
As an AI Delivery Engineer on PwC’s client-facing Generative AI team, you work alongside client teams to turn business problems into AI applications that people use every day. You join a multidisciplinary delivery pod and take work from first discovery workshop through prototype, production release, and handoff to the client’s own engineers. 70% of your time is spent building on Amazon Bedrock and related AWS services, 30% working directly with client users and technical teams.
✅ Key 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
📌 Required Qualifications
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
Ability to travel up to 70%, typically M - Th, including on-site work with clients
Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience
⭐ Desirable Experience
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
The salary range for the Senior Engineer is 135 - 170k. The salary range for the Staff Engineer is 164 - 220k. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
🛂 Visa & Eligibility
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: https://pwc.to/H-1B-Lottery-Policy.
