AI Delivery Engineer – AWS Bedrock

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $135k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Kunai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.

📋 Description

• 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 • Work alongside client teams to take AI applications from discovery workshop through prototype, production release, and handoff • Spend approximately 70% of time building on Amazon Bedrock and related AWS services and 30% working directly 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 M - Th, 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume