AI Engineer — AI Platform Engineering

You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn grow and thrive. At Verizon we power and empower how people live work and play by connecting them to what brings them joy. We do what we love driving innovation creativity and impact in the world. Our V Team is a community of people who anticipate lead and believe that listening is where learning crisis and in celebration we come together lifting our communities and building trust in how we show up everywhere & always. Want in Join the #VTeamLife.

What youll be doing...

As an AI Engineer - Platform Engineering you will serve as a core contributor to Verizons enterprise AI Platformthe mission-critical infrastructure facilitating intelligent request routing across the Consumer Business and Global Network & Technology (GN&T) organizations.

You will be responsible for the end-to-end lifecycle of 35 production services encompassing architectural design implementation deployment monitoring and iterative enhancement including participation in the technical on-call rotation.

This role requires a results-oriented engineer dedicated to delivering high-impact solutions including intelligent model routing the Verizon Agent SDK Model Context Protocol (MCP) integrations robust evaluation pipelines and the DevSecOps automation necessary to ensure secure and reliable agent deployments.

You will be responsible for the following but not limited to:

• Building the AI Gateway. Develop model-agnostic routing services across Google Vertex (Gemini) AWS Bedrock (Claude) OpenAI and open models (Phi Gemma). Implement health-aware load balancing automatic failover cost-performance routing JWT authentication multi-tenant routing rate limiting and quota enforcement. Build token management services (pre-request estimation post-response logging per-BU cost attribution via PostgreSQL and BigQuery).

• Contributing to the Agent Development Platform. Build core modules of the Verizon Agent SDK (Python primary TypeScript secondary) with pre-integrated LLMOps FinOps logging memory and MCP tool gateway. Deliver Agent Registry components registration versioning capability discovery lifecycle management Agent Card schema. Build MCP Tool Gateway integrations: translation layer Apigee connectivity output validation chain-of-thought tracing per tool call.

• Owning platform reliability SLOs alerting runbooks and incident response for your services (MTTD <15 min MTTR <60 min). Write IaC (Terraform/Pulumi) for K8s cluster provisioning across GCP and AWS. Build ETL/CDC pipelines from per-namespace PostgreSQL to BigQuery/Athena for usage analytics and FinOps dashboards. Participate in on-call rotation.

• Shipping continuous evaluation and DevSecOps. Building the Agent DevSecOps pipeline: ArgoCD deployment manifests canary rollout controllers (5% 25% 100%) and auto-rollback triggers on accuracy dips or error spikes. Implement continuous evaluation pipelines: automated benchmarking simulation harnesses and RLAIF feedback loops.

What were looking for

AI Engineer with a track record of maintaining high-availability services and establishing robust operational frameworks. You possess deep expertise in large language model (LLM) infrastructure transitioning complex research into scalable production environments with maintainable high-quality code with a strong commitment to developer experience you ensure that SDKs and APIs are intuitive versioned and resilient. You are highly proficient in Kubernetes and multi-cloud architectures demonstrating the strategic judgment to determine when to build internal solutions versus leveraging third-party platforms.

Youll need to have:

• Bachelors degree or four or more years of work experience.

• Four or more years of relevant experience required demonstrated through work experience and/or military experience.

• Experience in Python programming (production-grade code testing packaging).

• Experience insoftware engineering with production systems at scale.

• Experience with LLM or AI infrastructure model serving inference APIs or agent frameworks.

• Experience with Kubernetes: deployments services ingress HPA secrets.

• Experience with API design: REST/gRPC JWT/OAuth2 rate limiting versioning.

• Experience with cloud platforms (GCP and/or AWS): compute networking IAM managed databases.

• Experience with PostgreSQL and Redis in production.

• Experience with CI/CD tooling: GitHub Actions ArgoCD Docker.

Even better if you have one or more of the following:

• A Masters degree in Computer Science or AI/ML.

• Experience with LLM serving frameworks (LLM Gateway vLLM TrueFoundry).

• Experience with distributed systems patterns: eventual consistency idempotency circuit breakers retry with backoff.

• Experience with TypeScript or Go in production.

• Experience with Istio service mesh (VirtualService mTLS).

• Experience building developer tools SDKs CLIs or developer portals.

• Experience with agentic AI patterns (ReAct tool calling multi-agent orchestration).

• Experience with MCP (Model Context Protocol) MCP servers tool schema design.

• Experience with OpenTelemetry observability.

• Experience with CDC/ETL tooling (Debezium BigQuery).

• Experience with security engineering (zero-trust SPIFFE/SPIRE OPA).

• Certifications: CKA/CKAD AWS or GCP Cloud certifications.

If Verizon and this role sound like a fit for you we encourage you to apply even if you dont meet every even better qualification listed above.

In this hybrid role youll have a defined work location that includes working from home and a minimum of three days per week in the office which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

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Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status disability or other legally protected characteristics.

Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon. From health and wellness benefit options including: medical dental vision short and long term disability basic life insurance supplemental life insurance AD&D insurance identity theft protection pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan up to 8 company paid holidays per year and up to 6 personal days per year paid parental leave adoption assistance and tuition assistance plus other incentives weve got you covered with our award-winning total rewards package. Depending on the role employees have the opportunity to receive compensation in the form of premium pay such as overtime shift differential holiday pay allowances etc. Newly hired employees receive up to 15 days of vacation per year which grows with additional service. For part-timers your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles your compensation will be adjusted to reflect your hours.

The salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101000.00 - $194000.00.