Senior Solution Architect with Agentic AI

Technology stackTechnology stackAWS, AWS Bedrock AgentCore, LangGraph, Strands, AutoGen, CrewAI, OpenAI APIs, Large Language Models, Retrieval Augmented Generation (RAG), Python, MCP, A2A, IAM, Cedar, Open Policy Agent (OPA), Observability Platforms, Distributed Systems, Kubernetes, Cloud Native ArchitectureProject overviewThe project focuses on building a next generation agentic AI platform that enables autonomous agents to collaborate, access enterprise tools, and execute complex workflows in a secure and governed environment. The solution combines advanced orchestration frameworks, LLM powered applications, runtime controls, observability, and cloud native infrastructure to support production scale AI capabilities. TeamMedium team (10-20 people)You will work with solution architects, AI engineers, platform engineers, cloud specialists, security experts, and product stakeholders.

The team operates in a highly collaborative environment where architectural decisions are reviewed across multiple domains to ensure scalability, governance, and business alignment. Position overviewWe are looking for a Senior Solution Architect with strong experience in Agentic AI systems, LLM application architecture, and cloud platforms. You will define architecture standards, design scalable agent ecosystems, and guide the implementation of enterprise grade AI solutions with a focus on governance, observability, security, and operational excellence.

ResponsibilitiesDevelop architecture blueprints for enterprise scale agentic AI platformsDefine agent orchestration patterns, multi agent collaboration models, memory management approaches, and runtime execution strategiesDesign agent to tool and agent to agent integration frameworks using MCP, A2A, function calling, and related protocolsEstablish LLM application architecture standards including RAG pipelines, prompt engineering, context management, model routing, and output evaluationDesign governance frameworks for autonomous systems including authorization, identity management, policy enforcement, and auditabilityLead architecture decisions for runtime environments, integration gateways, observability solutions, and evaluation frameworksDefine monitoring, tracing, quality assurance, and safety evaluation approaches for agentic systemsCollaborate with engineering, security, and

platform teams to align architecture decisions with enterprise requirementsPresent architecture proposals and technical strategies to architecture review boards and governance committeesProvide technical leadership and guidance throughout the solution lifecycleRequirements6+ years of software architecture experience2+ years of experience architecting production grade LLM powered applications or agentic AI systemsHands on production experience with at least one agent orchestration framework such as LangGraph, Strands, AutoGen, CrewAI, or an equivalent solutionExperience designing platform level agent to tool integration layers consumed by multiple agents, products, or teamsExperience architecting at least two of the following domains for agentic systems: Runtime and execution environments, Tool and gateway integrations, Identity and policy enforcement, Observability and evaluation

platformsExperience defining architecture standards and making architecture level technology decisionsExperience presenting solutions during architecture reviews, governance reviews, design boards, or equivalent forumsStrong understanding of cloud architecture principles, preferably within AWS environmentsKnowledge of modern LLM application architecture, including RAG, prompt engineering, model orchestration, and evaluation methodologiesNice to haveHands on experience with AWS Bedrock AgentCore, including Runtime, Gateway, Registry, Policy, Evaluation, and Observability capabilitiesExperience with policy as code frameworks such as Cedar or Open Policy Agent (OPA)Familiarity with MCP and A2A protocol specificationsExperience working within enterprise, regulated, or highly governed environmentsExperience designing agent identity solutions and non human identity federation modelsKnowledge

of agent governance, compliance, and security frameworksExperience supporting large scale AI platform initiatives across multiple business domains

What We Offer:

• Vacation days: Up to 26 business days per year.10 illness/special days off per year (fully paid, no medical papers needed) for all contract typesHealth and life insurance (Luxmed)MyBenefit platform with Multisport optionInternal psychological support serviceEnglish language classes from the first working dayAccess to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid optionTech Skills Mentoring ProgramOpportunities to develop as a public speaker, mentor, or technical interviewerFully paid idle (bench) when not involved in a projectCertification reimbursement (AWS, GCP, Microsoft, etc.)