Sr. AI Systems Architect (AI/ML), Brand Concierge

We are seeking a strategic and technically skilled Senior AI Systems Architect to bridge the gap between complex business needs and advanced AI system design. You will play a pivotal role in translating use cases into scalable, intelligent solutions—leading the design of agent-based workflows, data pipelines, and orchestration systems tailored to enterprise applications.

• →Translate business goals into AI architecture: Collaborate with customers and team members to understand needs, assess feasibility, and define system scope.
• →Design AI agents and orchestration workflows: Create end-to-end blueprints for multi-agent systems to support real-time, multi-turn interactions across business functions.
• →Define data and RAG architecture: Specify data requirements and retrieval-augmented generation (RAG) configurations to ensure context-aware, grounded responses.
• →Author technical specifications: Produce clear, detailed documentation for LLM-based solutions, including APIs, tools, prompt logic, and agent capabilities.
• →Collaborate across teams: Work with ML engineers, product teams, and customer collaborators to align implementation with technical and business strategy.
• →Ensure scalability and reliability: Design solutions that are modular, maintainable, and resilient across enterprise environments.
• →Lead POCs and solution validation: Guide prototype development, performance tuning, and feedback loops for continuous improvement.

• 10+ years in software architecture, enterprise AI engineering
• Experience designing and deploying AI/LLM systems (e.g., OpenAI, Claude, RAG stacks, vector databases)
• Strong understanding of conversational AI, agents, orchestration (LangChain, AutoGen, Semantic Kernel, etc.)
• Deep understanding of modern ML techniques and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models.
• Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker/K8s), and CI/CD
• Excellent communication and collaborator engagement skills

Preferred Qualifications

• Experience with multi-agent systems, tool calling, or autonomous workflows
• Understanding of enterprise data governance, security, and compliance
• Prior work with domain-specific AI solutions (e.g., finance, legal, HR, customer service)
• Bachelor's , Master’s, PhD in Computer Science, Engineering, or related field

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