AI Delivery Engineer – AWS Bedrock
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Job Description
AI delivery engineer building production generative-AI applications on AWS Bedrock for Kunai’s financial-services clients. Translating workflows into secure, tested solutions and enabling client engineering teams.
Responsibilities:
- Map client workflows with business users and process owners; define use cases, delivery backlogs, and measurable acceptance criteria
- Build working prototypes 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; build deployment pipelines, monitoring, and error handling
- Assess solutions against release criteria for quality, safety, latency, reliability, and cost
- Configure Amazon Bedrock Guardrails and collaborate with security, privacy, and risk specialists on technical controls, audit evidence, and human review steps
- Co-build with client engineers and provide documentation, runbooks, and knowledge transfer
- Contribute reusable components, evaluation assets, and implementation patterns to the engineering community within client confidentiality and IP obligations
- Support pursuits through technical demonstrations, feasibility assessments, and delivery estimates
- Spend approximately 70% of time building on Amazon Bedrock and related AWS services and 30% working with client users and technical teams
Requirements:
- 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 Monday through Thursday, including on-site work with clients
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical 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
- 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
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