Programmers.io · 15 hours ago
AI Architect
Programmers.io is seeking an AI Architect – Agentic Platforms to define the architectural foundations that power client’s enterprise agent ecosystem. This role involves designing and governing the architecture for agent-based integrations and providing technical leadership across various teams to ensure reliable AI systems.
Responsibilities
Designing and governing the architecture for agent-based integrations, agent registries, scoring/evals infrastructure, grounding patterns, and multi-agent orchestration platforms
Providing deep technical leadership across engineering, product, data science, security, and cloud teams
Ensuring that agents are built safely, consistently, and with enterprise-grade reliability, performance, and observability
Rapidly building AI-driven prototypes, proofs of concept, and demo-ready product experiences
Defining and governing enterprise architecture standards, patterns, and reference architectures
Understanding of MCP servers, tool calling, registries, eval pipelines, agent observability, and multi-agent orchestration
Integrating APIs and enterprise systems into agentic platforms and workflows
Qualification
Required
10+ years' experience in cloud and distributed systems architecture focused on scalability, reliability, observability, and performance
7+ years designing enterprise AI/ML systems; 1+ years hands-on with GenAI, agentic workflows, RAG, LLM-based integrations, or multi-agent systems
Strong expertise with agentic frameworks and tooling (MCP, LangChain, LangGraph, LlamaIndex, autogen, crewai, Agent sdk, OpenAI SDK etc)
Hands-on experience in modern software development and engineering practices
Proven experience integrating APIs and enterprise systems into agentic platforms and workflows
Ability to rapidly build AI-driven prototypes, proofs of concept, and demo-ready product experiences
Experience defining and governing enterprise architecture standards, patterns, and reference architectures
Deep understanding of MCP servers, tool calling, registries, eval pipelines, agent observability, and multi-agent orchestration
Hands-on experience with Azure and GCP, including Kubernetes, containerization, identity, networking, CI/CD, and API platforms
Familiarity with AIOps/MLOps stacks (MLflow, model registries, vector DBs, semantic layers, feature stores, monitoring)
Strong knowledge of security, compliance, risk, and Responsible AI (RAI) considerations for enterprise agent systems
Demonstrated ability to partner across engineering, data science, product, and security teams to deliver complex AI platform architectures
Company
Programmers.io
IBM i is evolving. And so are we.
H1B Sponsorship
Programmers.io has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
Funding
Current Stage
Late StageRecent News
linkedin.com
2025-12-12
linkedin.com
2025-12-08
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