As a Platform Architect in Evolent's Platform Engineering & Operations (PEO) organization, you will be responsible for designing, implementing, and maintaining the cloud and infrastructure platforms that Evolent's applications run on. This role involves strategic thinking to solve high impactful organizational issues with expertise in major cloud platforms, specifically Microsoft Azure.
Why This Role Matters
Evolent is transforming how it builds and operates infrastructure under a refreshed Platform Engineering & Operations operating model, grounded in four principles: Architecture First, Automation by Default, Reliability is a Shared Responsibility and Golden Paths Over Custom Solutions. You will turn approved designs into provisioned, automated, and documented platforms, and you will do it transparently, through formal handoffs, Office Hours reviews, and documentation your peers can actually rely on.
Agentic AI: Platform Engineering is moving toward agentic AI as a standard part of how the organization works. As agentic AI transforms the way we work, we expect our engineers to be at the forefront of that change, designing and building intelligent solutions rather than simply consuming them. This builder mentality is a core attribute we assess from the first conversation.
What You'll Be Doing
- Provision and change infrastructure exclusively as code, so that every environment is reproducible, reviewable, and free of manual drift.
- Reverse engineer the applications and infrastructure you inherit: trace dependencies, integrations, and data flows end to end until you can explain how a system actually works.
- Design and build agentic AI solutions for platform, delivery, and operations work: identify the toil worth automating, then build, evaluate, and harden the agent that removes it.
- Build security and compliance into the delivery path: least-privilege access, secrets handling, policy-as-code guardrails, and audit evidence produced by design rather than assembled under deadline.
Scope note: This role works inside one PEO function and partners across the others. Platform Architecture defines and approves standards, DevOps provisions and delivers, Site Reliability Engineering operates production, Platform Enablement & Automation builds golden paths and guardrails, Database Administration owns data platforms, and Cloud Network Services owns the foundational cloud fabric and network. Hiring manager: add any boundary specific to your team here.
What You'll Need to Be Successful
- Demonstrates humility, openness to feedback, and a team-first mindset.
- Comfortable with a high level of transparency, surfacing risks and mistakes early.
- Ability to create high-quality technical diagrams and documentation.
- Deep knowledge of agentic AI concepts: agents and tool use, orchestration, context and retrieval, evaluation, guardrails, and the limits of each. This is one of the most important requirements for the role, because every person in Platform Engineering & Operations is expected to become a builder of agentic AI solutions rather than only a user of them.
- Excellent written and verbal English communication skills with the ability to communicate effectively with technical and business stakeholders.
- Demonstrated ability to reverse engineer application architecture: take an unfamiliar application and the infrastructure under it, trace its components, dependencies, and data flows.
- Working fluency in Infrastructure as Code and Configuration as Code. Terraform and Ansible are Evolent's standard tooling.
- Lead the design and implementation of scalable, secure, and resilient workloads on the Azure platform
- Maintain overall cloud organization and standards such as the Azure Landing Zone architecture, the Azure Well Architected Framework, and Enterprise Policy Governance.
- Implement cloud security measures and controls set by Senior and Principal team members from regulatory compliance frameworks such as HITRUST & CIS.
- Proficiency with tools such as Azure Portal/CLI, Azure Advisor, Azure Policy, Azure Resource Graph, and VS Code.
- Analyze existing cloud architectures and recommend optimizations for cost efficiency, scalability, resiliency, and performance.
Nice to Have (Preferred)
- Experience applying agentic AI concepts, whether through professional experience, personal projects, academic work, or other relevant initiatives: what it does, the choices you made, what failed, and what you would change.
- Proficiency in a scripting or programming language used for automation and tooling, such as Python, Go, PowerShell, C#, or Bash.
- Experience in a regulated environment, for example healthcare and HIPAA, SOC 2, or similar.
Certifications (Preferred)
- Relevant Azure certifications preferred, for example AZ-104 or AZ-305, AI-500 or AB-100
- ISC2 Certified in Cybersecurity
Academic Qualification
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or an equivalent combination of education, training, and experience.