Join Exadel as an Enterprise AI Platform Architect and shape the future of intelligent, scalable systems powered by autonomous agents. Lead the evolution from traditional LLM workflows to secure, enterprise-grade AI, where innovation meets real-world impact.
Why Join Exadel
Exadel is an AI-first global tech company with 25+ years of engineering excellence, 2,000+ professionals, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people - ambitious, collaborative, and constantly evolving.
About the Client
Our client is a global cloud software leader in corporate compliance and investor relations. Their platform supports thousands of companies in building trust through transparency, simplified reporting, and effective stakeholder communication.
What You’ll Do
- Architect multi-agent collaboration patterns (Supervisor-Worker, Planner-Executor, Swarm, Human-in-the-loop) capable of planning, reasoning, and safe execution
- Build the core platform supporting model orchestration across multiple providers (OpenAI, Anthropic, Bedrock, Azure, Vertex), including model gateways, prompt versioning, and execution guards
- Define and implement protocols for agent-to-agent (A2A) and agent-to-system communication, establishing Model Context Protocol (MCP) standards for tool-use
- Collaborate with frontend teams to implement AG-UI or ChatKit protocols, creating "UI tools" that allow AI to interact directly with the application interface
- Implement and optimize retrieval architectures, transitioning from basic semantic search to hybrid, vector, and knowledge-graph-enhanced retrieval (GraphRAG)
- Design safe "leave-and-layer" modernization patterns, exposing legacy enterprise functionality to AI agents through wrapper APIs, event-driven workflows, and integration gateways
- Architect long-term memory solutions (e.g., Graphiti, Cognee) to persist facts, observations, and user preferences across sessions
- Implement governance including prompt/output validation, policy-as-code enforcement, role-based access control, and secure handling of PII
- Establish tracing standards using OpenTelemetry, LangSmith, or LangFuse to transform the "black box" of agent loops into transparent, debuggable workflows
- Define automated metrics for measuring response quality, reasoning reliability, hallucination rates, and task success rates
- Coach architects, engineers, and technical leads, embedding governance and AI best practices into platform design from day one.
- Support sales and solution teams with credible architecture guidance, participating in technical positioning for high-value strategic opportunities
What You Bring
- 10+ years of overall experience, with at least 4 years in a dedicated Architect, Lead, or Principal role designing distributed enterprise SaaS platforms
- 5+ years of experience architecting on major cloud providers, with direct deployment experience in Azure AI Foundry, or AWS Bedrock, or GCP Vertex AI
- Expert-level engineering foundation in Python (3.13+ preferred), asynchronous programming and microservices architecture
- Proven experience with containerized deployment, MLOps pipelines, and the operational realities of production AI (failure handling, fallback patterns)
- 3+ years of hands-on experience building and deploying production-grade LLM applications.
- Minimum of 1.5 years specifically building autonomous agents and stateful AI interactions, moving well beyond basic prompting or simple RAG
- Deep hands-on experience with LangGraph (preferred), LangChain, LlamaIndex, Semantic Kernel, or similar graph-based orchestration frameworks
- 2+ years of experience with Vector Databases (Pinecone, Weaviate, Qdrant) or Graph Databases (Neo4j)
Nice to Have
- Active experimentation or professional implementation of Model Context Protocol (MCP) or A2A messaging standards
- Proven track record of designing knowledge-graph-grounded AI applications
- Active contributions to the LangChain/LangGraph ecosystem or other major AI frameworks
- Direct experience implementing Prompt Shields, Guardrails for Bedrock, or AI Content Safety gateways
English Level
Upper Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.