Artificial Intelligence Engineer

Job Summary – AI Engineering LeadResponsibilities / Experience – Lead service rationalization and decomposition across complex enterprise ecosystemsDesign and build API-first, event-driven architecturesContribute hands-on to domain services, integrations, and POCsEnable service reuse through catalogs, standards, and governanceDrive incremental legacy modernization (strangler pattern)Partner across global teams to influence a platform-first mindsetBuild systems ready for AI agents, automation workflows, and future integrations Qualifications/Required Skills: 1. Strong Engineering & Architecture Execution (10+ years)Deep hands-on experience building and delivering production-grade systems in enterprise environmentsExpertise in microservices, APIs (REST/GraphQL), event-driven architecture (Kafka), and cloud platforms (AWS/Azure/GCP)Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset 2. Service Decomposition & Enterprise ModernizationStrong experience with domain-driven design (DDD), service decomposition, and distributed system designHands-on track record breaking down monoliths/fragmented systems into reusable service layersExperience leading modernization efforts using incremental approaches (e.g., strangler pattern) with a focus on reuse, scalability, and clean service boundaries 3. MCP Servers & Gen AI / Agent-Based SystemsProven experience building MCP server-based solutions and Gen AI agents from concept through productionStrong understanding of designing systems for an agentic, AI-driven ecosystemAbility to integrate AI into service architectures and make platforms “agent-ready” for future automation and intelligence4. Experience designing observability strategies: distributed tracing, structured logging, metrics dashboards 5. Deep understanding of zero-trust architecture, API security, and identity federation6. Hands-on experience with CI/CD pipeline design, GitOps workflows, and release engineering7. Ability to make and communicate well-reasoned architectural trade-offs.Preferred Skills:Expertise with Claude Code or similar AI-assisted development toolsExperience building service catalogs / internal developer platformsBackground in highly distributed, multi-region enterprise environmentsExposure to AI-driven automation workflows at scaleBehavioral Skills:Excellent Communication skills and collaboration skillsAbility to propose and implement improvements in the systemAbility to work with cross-functional stakeholders