AI Solutions Architect

• Lead the end-to-end architecture and implementation of multi-agent AI systems using frameworks such as LangChain, LangGraph, and Model Context Protocol (MCP)
• Design planner-executor patterns, sub-agent hierarchies, tool orchestration, retry logic, memory/context handling, and token optimization strategies
• Develop scalable agentic workflows supporting enterprise automation and reusable AI capabilities
• Architect and optimize enterprise-grade RAG pipelines using vector databases such as pgvector and Qdrant
• Implement hybrid retrieval, semantic search, re-ranking, and intelligent chunking strategies
• Ground AI agents using structured and unstructured enterprise knowledge sources
• Design scalable reference architectures and AI solution blueprints for enterprise customers
• Translate complex business requirements into scalable AI roadmaps and reusable platform accelerators
• Support regulated and consumer-facing enterprise environments
• Build event-driven microservices architectures leveraging Kafka, PostgreSQL, vector databases, and Kubernetes
• Design cloud-native deployment topologies optimized for high-throughput AI inference workloads
• Develop APIs and Back End services using FastAPI, Node.js, Spring Boot, or similar frameworks
• Establish AI engineering best practices across training, fine-tuning, prompt management, evaluation pipelines, drift detection, and rollback strategies
• Build structured evaluation frameworks and observability tooling for production AI systems
• Ensure scalability, reliability, and governance across the Agentic Development Lifecycle (ADLC)
• Implement observability and monitoring solutions using Prometheus, Grafana, OpenTelemetry, and distributed tracing frameworks
• Track agent reasoning, tool calls, token consumption, and quality metrics
• Enable auditability, compliance, and human-in-the-loop governance
• Create reusable AI engineering patterns, skills, sub-agents, evaluation harnesses, and platform components
• Standardize reusable development frameworks across multiple product and business lines
• Drive adoption of AI-assisted development tooling including Claude Code, Playwright MCP, Cursor, and related agentic engineering tools
• Support AI-enhanced planning, code generation, testing, and release validation workflows
• Partner with sales, presales, and customer success teams on enterprise AI initiatives
• Lead technical discovery sessions, workshops, architecture reviews, and AI roadmap discussions
• Support solution positioning and enterprise AI transformation initiatives

We are seeking an experienced AI Solutions Architect to lead the design, architecture, and delivery of an enterprise-scale Agentic AI platform. This individual will drive the technical vision for multi-agent AI systems, Retrieval-Augmented Generation (RAG), MCP-based tool integrations, and scalable microservices architecture that enables enterprises to compose, govern, and operate domain-specific AI agents at scale. The ideal candidate will have deep expertise in enterprise AI architecture, distributed systems, cloud-native engineering, and production-grade LLM platforms. This role requires both hands-on technical leadership and the ability to collaborate closely with engineering, product, presales, and enterprise stakeholders., * 8+ years of software engineering and solution architecture experience

• 3+ years of hands-on experience designing and deploying LLM-based or Agentic AI systems in production environments
• Deep expertise with LangChain, LangGraph, Retrieval-Augmented Generation (RAG), MCP/AI tool orchestration, Prompt engineering, Context engineering, Token optimization
• Strong programming experience in Python and TypeScript (Java preferred)
• Experience building scalable microservices using FastAPI, Spring Boot, Node.js, or related frameworks
• Hands-on experience with AWS, Azure, or GCP, Kubernetes, Docker, Terraform, CI/CD pipelines
• Strong understanding of MLOps, AI model lifecycle management, evaluation framework, drift detection, AI observability
• Proven enterprise solution architecture experience translating business requirements into scalable AI solutions