AI Architect

Join Vonage and help us innovate cloud communications for businesses worldwide!
Why this role matters:

The AI Center of Excellence (AI CoE) partners with product and business units across Vonage to design, build, and operationalize AI capabilities. We provide reference architectures, shared services, and best practices; drive innovation through proofs-of-concept; and ensure responsible, secure, and cost-effective AI at scale.

A hands-on AI Architect who can align business goals with pragmatic, production-ready AI solutions. You'll set technical direction, build reusable patterns, and help teams ship reliable, safe, and measurable AI features.

Your key responsibilities:
Lead AI solution architecture for BU initiatives: choose patterns (API vs fine-tune vs RAG/agents), data flows, guardrails, and SLOs.
Spend ~50–60% hands-on: reference implementations, retrieval pipelines, prompt/agent libraries, evaluation harnesses, sample apps.
Define the target-state AI platform and drive adoption via ADRs, playbooks, templates, and reviews (CoE/architecture board).
Partner with Security, Privacy, Data, and Legal on responsible-AI controls (PII handling/redaction, prompt-injection defenses, abuse filtering).
Operationalize AI: CI/CD for prompts/agents/tools, feature flags, canary/rollback, observability, incident playbooks.
Establish measurement: offline/online evals, test sets, A/Bs, HITL workflows, cost/latency/quality dashboards.
Coach and unblock global teams; review designs/code; champion modern AI patterns (tool use, agentic flows, streaming, memory).
What you'll bring

Required:

BSc in CS or related (MSc a plus).
10+ years building distributed systems (Node.js, Python, Go, or Java); 5+ years applied AI/ML (LLMs or conversational AI).
Depth in LLM/RAG architectures (embeddings, retrieval, chunking, routing, tool-calling/agents, prompt engineering).
Cloud: AWS (e.g., Bedrock, EKS/ECS/Lambda, S3) and/or GCP Vertex AI; IaC (Terraform).
Data & messaging: Kafka, relational & NoSQL, caching.
Containers/Kubernetes; microservices; REST/gRPC/GraphQL; secure API design.
Excellent communication; influence without authority across a matrix org.
Familiarity with governance frameworks and secure data use (e.g., alignment with NIST AI RMF / ISO-style controls).

Experience we consider a plus:

Vector search (Pinecone, OpenSearch/Elastic, pgvector); feature stores.
Frameworks: LangChain, LlamaIndex, DSPy; PyTorch/TensorFlow for glue work.
QA & eval: RAGAS, DeepEval, synthetic data, red-teaming.
Realtime/voice (SIP/WebRTC), streaming inference, low-latency design.
How you'll benefit:
Private Medical Insurance
Pension
Ericsson Care Line (EAP)
Advanced Study Fund
Food Card
Gym
Discretionary Time Off (DTO)
Volunteer Time (VTO)
Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process

#LI-JB1

There's no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you.

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Who we are:

Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today.

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.