2 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Define platform-agnostic multi-agent architectures, conversation and workflow standards, naming conventions, guardrails, and release practices.
- Design orchestrator and sub-agent structures, handoff protocols, context passing, fallback behaviors, and cross-platform communication using MCP and A2A.
- Lead the design and delivery of agents for pipeline queries, opportunity updates and creation, forecasts, approval workflows, and AI-generated content.
- Define governed tool, API, and connector contracts for enterprise systems and prohibit direct database access, free-form SQL, and plaintext credentials.
- Implement RBAC, DLP, prompt-injection defenses, output validation, and audit logging standards.
- Own agent versioning, regression testing, staged production rollouts, human approval gates, and production promotion sign-off.
- Mentor the mid-level engineer through architecture guidance, reviews, and onboarding.
- Translate business needs into technical scope and acceptance criteria with sales and sales operations stakeholders.
Requirements
- Typically 7+ years of experience in software, automation, or integration engineering.
- Track record of shipping production AI agents or agentic workflows used by real users.
- Production experience with multi-agent orchestrator/sub-agent architectures on at least one agentic engine such as Copilot Studio, n8n, Dify, Azure AI Foundry, Amazon Bedrock Agents, or LangGraph.
- Deep expertise in agentic engineering plus broad knowledge of CRM, ERP, Microsoft 365, and cloud data platforms.
- Understanding of orchestrator/sub-agent design, prompt engineering, RAG, tool/function calling, MCP, agent memory, and evaluation.
- Ability to assess platform strengths and limitations and design agents accordingly.
- Proficiency with REST, JSON, webhooks, OAuth 2.0, service principals, APIs, connectors, and MCP servers.
- Knowledge of identity and RBAC, Entra ID, DLP, secrets management, environment and solution lifecycle, and CI/CD for agents.
- Understanding of GDPR and EU data residency for agent data handling.
- Proven ability to mentor engineers and uphold quality standards.
- Strong architecture decision record, conversation and workflow specification, and runbook documentation skills.
- Fluent written and verbal English with the ability to lead technical and business discussions.
- Microsoft PL-400, AI-102, AWS, or platform-specific certifications are a plus.
- Production experience across multiple agent platforms is a strong plus.
Tech Stack
Categories
About HRS
HRS is a Cologne-based, privately held business-travel technology company founded in 1972. It provides enterprise platforms to manage hotel lodging, meetings, and workforce travel—sold as Lodging-, Meeting-, and Workforce-as-a-Service—plus integrated payment and booking via its Connect and Copilot products. The group also operates an SMB hotel platform in Germany, Austria and Switzerland and a B2B vacation-rental unit, serving multinational corporations and hotel chains.