Senior AI Architect

Summary:
The AI Enablement team at /84.51 is seeking an AI Architect Agentic Platforms to define the architectural foundations that power s 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.
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, Lang Chain, 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.

Key Responsibilities:
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 s AI governance and 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.

Note to Vendors:
Top 3 skills: software developer cloud architect, and AI capabilities
Soft Skills Needed: this role is on the sr side, so we are wanting someone to lead a team and work with stakeholders, coordination to drive solution. Someone who is a strong leader.
Project person will be supporting: Agentic platform
Team details ie. size, dynamics, locations: combo of full time and contractors, this has very broad exposure in terms of visibility, looking for 6-month CTH
Work Location (in office, hybrid, remote): prefer hybrid/onsite or relo to cinci if offered -3 days office would be ok.
Is travel required: no
Required Working Hours: EST 9-5
Interview process and when will it start: ASAP - next week. 2 step process, team of architects will start interviews.
Prescreening Details: Manual, 3 questions
When do you want this person to start: ASAP - first week of February.

Other Helpful Notes:
This architect will focus on creating and architecting next gen innovation
Someone who can be productive with AI side of things. Architect who has google, google agent stack, software development experience, CICD
We need someone with experience with AI and new technology
50% hands on and 50% architect