AI Architect

Overview

Payrate: $85.00 - $90.00/hr.

We are seeking an AI Architect - Agentic Platforms to define the architectural foundations that power enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations, agent registries, scoring/evals infrastructure, grounding patterns, and multi-agent orchestration platforms. The AI Architect provides deep technical leadership across engineering, product, data science, security, and cloud teams to ensure that agents are built safely, consistently, and with enterprise-grade reliability, performance, and observability.

This role combines expertise in large-scale AI systems, distributed cloud architecture, and modern agentic frameworks.

• Define and maintain the enterprise reference architecture for agentic platforms (agentic framework, tools, MCP, registries, evals, orchestration, grounding, observability).
• Establish architectural standards and best practices for agent design, tool integration, safety, telemetry, versioning, and lifecycle management.
• Provide architectural leadership for agentic platform engineering teams, ensuring scalability, resiliency, performance, and operability.
• Design and guide integration with semantic layers, embeddings, vector search, knowledge models, and enterprise data products to enable grounded agent behavior.
• Drive architectural direction for low-code/no-code agent-building platforms, ensuring governance, consistency, and ease of adoption.
• Partner with cloud, security, product, and enterprise architecture teams to align agentic platform designs with AI governance and Responsible AI (RAI) principles.
• Define and support agentic SDLC through patterns for evals, safety tests, regression gates, monitoring, and benchmarking.
• Evaluate new agentic frameworks, open-source standards, and orchestration tools to guide build vs buy platform decisions.
• Provide hands-on architectural guidance across engineering and data science teams, enabling scalable, secure, and cost-efficient agent deployment.
• Translate complex business needs into clear technical design patterns and platform capabilities that accelerate agent development.

• Experience in cloud and distributed systems architecture focused on scalability, reliability, observability, and performance.
• 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, Lang Chain, Lang Graph, llama
  
  Index, Auto Gen, 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 architecture.
• 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.

The typical base pay for this role across the U.S. is $85.00 - $90.00/hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience.

Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus.

Sick leave and mobile phone reimbursement provided based on state or local law.