AI Platform Architect

About the role

Seeking an AI Platform Architect with 3+ years of hands-on experience designing and implementing AI/ML or Generative AI solutions in enterprise environments.

Responsibilities

• Define end-to-end architecture for enterprise AI solutions including LLM-based applications, RAG, agentic workflows and model orchestration services.
• Design secure, scalable, maintainable and cost-effective AI blueprints across cloud, hybrid and on-premises environments.
• Architect prompt orchestration, contextual grounding, embeddings, vector database integration, retrieval quality, hallucination controls and traceability.
• Embed security-by-design and responsible AI controls covering IAM, API protection, auditability, logging, monitoring, data leakage and prompt injection mitigation.
• Define MLOps/LLMOps, CI/CD, deployment, observability, evaluation framework, production readiness checklist and reusable AI reference architectures.

Requirements

• 3+ years hands-on experience designing and implementing AI/ML or Generative AI solutions in enterprise environments.
• Strong experience with LLMs, prompt engineering, RAG, agent workflows, embeddings, vector databases and API-based AI services.
• Strong cloud architecture knowledge across Azure, AWS or GCP, plus microservices, APIs, distributed systems and event-driven architecture.
• Experience with Python, modern AI/ML frameworks, DevOps, MLOps/LLMOps, CI/CD, infrastructure automation, documentation and architecture governance.
• Familiarity with AI governance, model risk management, responsible AI standards, security reviews, red teaming, guardrails and adversarial testing.
• Experience integrating AI into ITSM, observability, knowledge systems, workflow engines and regulated enterprise environments.

Pay

$90,000-$110,000 a year