AI Engineer (AWS) (all genders)
An AI engineer/consultant at adesso in Budapest who designs and delivers AWS-native, AI-powered contact center solutions using Amazon Bedrock (AgentCore), Amazon Connect, and serverless integrations, with Terraform/CDK-based DevOps delivery. The role includes end-to-end project ownership and advising customers on AI agent architecture.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Several years of hands-on AWS experience and knowledge of core AWS services (Lambda, ECS/EKS, EventBridge, SQS/SNS, DynamoDB, OpenSearch, S3, IAM, VPC)
- Practical experience with Amazon Bedrock, ideally including AgentCore (Agents, Action Groups, Memory, Knowledge Bases, Guardrails)
- Hands-on experience with Amazon Connect: contact flows, Amazon Lex, real-time analytics, external system integration
- Project experience with Infrastructure as Code (Terraform or CDK), CI/CD pipelines, and container platforms (ECS or EKS)
- Consulting and communication skills: explaining complex concepts to technical and non-technical audiences
- In-depth AI expertise and promotion of responsible AI use
- University degree in an IT field
- Fluent, confident English skills (spoken and written)
Nice to have
- Experience with LLM/agent frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
- Familiarity with compliance standards (GDPR, BSI, ISO 27001) and AWS certifications
Full description
YOUR ROLE
- Design intelligent contact center platforms:
You design and implement AWS-native contact center and AI agent solutions based on Amazon Bedrock AgentCore and Amazon Connect—from the initial concept through to stable production operations
- Design agent and conversation architectures:
You design agent-based architectures, including tool integration, persistent memory, multi-agent orchestration, and guardrails. You integrate Amazon Bedrock agents as virtual customer service representatives or AI copilots for service agents.
- Build contact flows and integrations:
You design intelligent contact flows in Amazon Connect, integrate Amazon Lex, real-time and post-call analytics, and connect external systems using AWS services such as Lambda, EventBridge, SQS/SNS, DynamoDB, and OpenSearch.
- Drive DevOps and delivery for AI agents:
You embed CI/CD, Infrastructure as Code (e.g., Terraform, CDK), automated testing, logging, and tracing (AWS X-Ray, CloudWatch, OpenTelemetry) into your architectures, ensuring secure, repeatable, and reliable deployments.
- Take end-to-end project ownership:
You support customers throughout the entire project lifecycle—from assessments and target architecture workshops to solution design and implementation—while taking responsibility for quality, scalability, and operational excellence.
- Advise and enable customers:
You translate concepts such as tool use, Retrieval-Augmented Generation (RAG) pipelines, session memory, and multi-agent delegation into clear decision-making guidance. You create architecture roadmaps and support customer teams through architecture reviews, coaching, and knowledge transfer.
YOUR PROFILE
- AWS expertise and architectural mindset:
You have several years of hands-on experience with AWS, understand the capabilities and limitations of core AWS services (e.g., Lambda, ECS/EKS, EventBridge, SQS/SNS, DynamoDB, OpenSearch, S3, IAM, and VPC), and design secure, scalable cloud architectures.
- Amazon Bedrock and LLM agents:
You have practical experience with Amazon Bedrock—ideally including AgentCore (Agents, Action Groups, Memory, Knowledge Bases, and Guardrails)—and understand what it takes to build and operate production-grade LLM and AI agent solutions. Experience with frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI is a plus.
- Contact center and Amazon Connect experience: