Solution Architect AI Agents AWS (m/f/d)

DISCLOSURE Dedicate intelligent agentic AI solutions for customer processes: You design and implement agentic solutions for the automation, support and optimization of business processes based on Amazon Bedrock AgentCore and other AWS-native AI services – from the first idea to stable operation in production. Agent and Process Architectures: You develop agent-based architectures including tool integration, memory persistence, multi-agency orchestration as well as trail guards and integrierst Bedrock agents as digital process assistants, decision supporters or autonomous sub-process engineers in existing customer processes. Design process flows & system integrations: You create intelligent processes, agent workflows and toolchains, integrate knowledge sources, RAG pipelines, specialist applications and analytics components, and integrate external systems via AWS services such as Lambda, EventBridge, SQS/SNS, DynamoDB or OpenSearch. DevOps & Delivery for AI agents: You anchor CI/CD, Infrastructure as Code, e.g. Terraform or CDK, automated testing, and logging and tracing, e.g. AWS X-Ray, CloudWatch or OpenTelemetry, in your architectures and keeps you safe, reproducible deployment of agentic applications in production-related and productive customer environments. End-to-end project responsibility: You accompany customers across the entire lifecycle – from process analysis, potential assessments, assessments and target image workshops to architectural and design phases to implementation – and take responsibility for the quality, scalability and operational safety of the developed agentic process solutions. Accompanying customers comprehensively: You translate concepts such as tool-use, RAG pipelines, session memory or multi-agent delegation into understandable decision-making bases, start architecture roadmaps and support teams through reviews, coaching and knowledge transfer. In particular, you advise customers what processes are suitable for agentic automation, such as agents are safely embedded in existing workflows and how departments, IT and operation jointly develop sustainable solutions.

AWS expertise and architectural understanding: You have several years of practical experience with AWS, know the peculiarities and limits of central services such as Lambda, ECS/EKS, EventBridge, SQS/SNS, DynamoDB, OpenSearch, S3, IAM, VPC, and develop scalable, secure cloud architectures for production-ready AI, agent and process automation solutions. Bedrock & LLM Agents: You have worked with Amazon Bedrock – ideally with AgentCore, such as Agents, Action Groups, Memory, Knowledge Bases and Guardrails – and know what production-ready operation of LLM and agent solutions means. Knowledge of frameworks such as LangChain, LlamaIndex, AutoGen or CrewAI is a plus. You understand how agentic systems use tools, manage context, delegate tasks and are safely embedded in existing process and system landscapes. Process understanding and agentic automation: You bring practical experience in the analysis, modeling and optimization of business processes and understand how agentic tools can support, automate or partially autonomously execute processes. You can identify suitable applications for Agentic AI, evaluate benefits, feasibility and risks and translate technical requirements into feasible technical solutions. DevOps, IaC and Container Skills: You have project experience with Infrastructure as Code, e.g. Terraform or CDK, CI/CD pipelines and container platforms, e.g. ECS or EKS, and anchor testing, observability and security guide rails in your delivery processes. Knowledge of compliance, such as GDPR, BSI or ISO 27001, and AWS certifications are desirable. Ideally, you have experience in reproducible, monitored and safely transferring AI and agent solutions to productive customer environments. Consulting competency and communication: You can explain complex technical issues to the address, testify to workshops, reviews and management presentations. You advise customers on identifying suitable processes, evaluating automation potentials and introducing agentic solutions at the interface of specialist, IT and operation. AI competence: You have advanced AI expertise, actively shape their responsible use in your area of responsibility and act as an enabler for customers and internally at adesso. This brings you a good understanding of Responsible AI, Guardrails, Evaluation, Monitoring, Prompt and Tool Design as well as the safe handling of business data. Language knowledge: Very good German and good English skills

Stay healthy and fit: We promote the health of our adessi with sporty grants such as discounted fitness memberships, takeover place for, for example, Badminton, Padel Tennis or Football and regular screenings. Find your work-life balance: our time-out program and flexible work models help you to optimally reconcile work and private life. Time for the family: Our goal is to unite the two worlds – family and working life. For this we support our adessi best with numerous offers, such as child holiday care, kita collaborations, parent-child offices or events where the whole family is welcome. Learning and balancing with us: With more than 400 training offers and our digital learning platform we support your continuous development. Experience real team spirit: Joint events, Welcome Days, company runs or the sponsor system strengthen our cohesion and let you be part of the team from the outset. Commitment rewarded: Your commitment pays off – with premiums for recommendations, lectures, the support of graduate work as well as attractive benefits via our Corporate Benefits portal. Be mobile and flexible: JobRad offers, grants for the German ticket and the ability to work mobile from the EU country for up to two months offer you maximum flexibility. Safe in your future: Our in-house, independent insurance consultant and broker alleato has always provided you with individual solutions for retirement or health insurance. .