2745 - Solutions Architect – AgenticAI Sys & Platforms

Title: Solutions Architect – Agentic AI Systems & Scalable Platforms

Experience

Location

Job Summary:

Must Have Skills:

Core Competencies

• Distributed System Design:

  Proven leadership in architecting resilient, scalable platforms for high-concurrency agent orchestration and state management

• AI/ML System Integration:

  Strong experience designing AI/ML integration layers with support for multi-model orchestration, fallback strategies, and cost optimization

• Event-Driven Orchestration:

  Expertise in implementing event-driven orchestration workflows, including human-in-the-loop decision points and rollback mechanisms

• Observability Architecture:

  Hands-on with observability architecture, including monitoring, tracing, debugging, and telemetry for AI systems

• Security-First Design:

  In-depth knowledge of zero-trust security architectures, with RBAC/ABAC and fine-grained access control for sensitive operations

Technical Proficiencies

• Programming: Python (async frameworks), TypeScript/JavaScript (modern frameworks), Go
• Container Orchestration: Kubernetes, service mesh architectures, serverless patterns
• Real-time Systems: WebSocket protocols, event streaming, low-latency architectures
• Infrastructure Automation: GitOps, infrastructure as code, automated scaling policies
• Performance Engineering: Distributed caching, query optimization, resource pooling

Platform Integration Skills

• API Gateway Design: Rate limiting, authentication, multi-provider abstraction
• Workflow Orchestration: State machines, saga patterns, compensating transactions
• Frontend Architecture: Micro-frontends, real-time collaboration features, responsive data visualization
• Persistence Strategies: Polyglot persistence, CQRS patterns, event sourcing
• Track record of effective collaboration with AI/ML engineers, Data Engineers, Backend Developers, and UI/UX teams on complex platform delivery, a lead by doing attitude towards resolving issues and technical roadblocks.
• Demonstrated ability to produce architecture diagrams and maintain technical documentation standards
• Excellent communication and stakeholder management, especially with senior and executive leadership

Nice to Have Skills:

• Experience with real-time systems (WebSockets, event streaming, low-latency protocols)
• Exposure to polyglot persistence, event sourcing, CQRS patterns
• Experience with multi-tenant SaaS platforms and usage-based billing models
• Knowledge of hybrid cloud deployments and cost attribution for AI compute workloads
• Familiarity with compliance frameworks, audit trail design, and encryption strategies
• Exposure to frontend architectures like micro-frontends and real-time dashboards
• Experience with infrastructure as code (IaC) and performance tuning for distributed caching

Role & Responsibilities:

• Architect and lead development of scalable, distributed agent orchestration systems
• Design abstraction layers for multi-model AI integration with efficiency and fallback logic
• Develop event-driven workflows with human oversight, compensating transactions, and rollback paths
• Define observability architecture, including logging, tracing, metrics, and debugging for AI workflows
• Implement zero-trust and fine-grained security controls for sensitive data operations
• Create and maintain technical artifacts, including architecture diagrams, standards, and design patterns
• Act as technical liaison between cross-functional teams and executive stakeholders
• Guide engineering teams through complex solutioning, issue resolution, and performance optimization
• Drive documentation standards and ensure architectural alignment across the delivery lifecycle

Key Skills: