Data & Integration Architect – Voice AI / IVR

Expleo•Minneapolis, MN

1d•$101 - $111•Hybrid

About The Position

Are you passionate about designing complex integrations that power real‑world AI experiences? Trissential is hiring a Data & Integration Architect to join our client’s team and play a pivotal role in advancing enterprise‑scale Voice AI and IVR capabilities. This is a high‑impact opportunity where your architecture decisions directly enable AI‑driven customer interactions across telephony, cloud platforms, APIs, and data ecosystems. If you thrive in multi‑cloud environments, enjoy hands‑on architecture work, and want to shape how AI integrates with enterprise systems at scale—this role was built for you.

Requirements

7+ years of experience in integration architecture, solution architecture, or data engineering
Strong hands‑on experience designing enterprise‑scale integrations
Proven multi‑cloud integration experience (AWS, GCP, Azure, or similar)
Deep API integration expertise (REST, GraphQL, webhooks)
Experience designing batch and streaming data pipelines
Familiarity with enterprise platforms such as Databricks, SAP, or Salesforce
Solid understanding of AI/data integration and secure data exposure strategies
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Nice To Haves

Telephony, SIP, VoIP, or IVR platform experience (Avaya or similar)
Experience with data lakehouse platforms (Databricks or Snowflake)
Cloud networking knowledge (Direct Connect, Megaport, VPC peering)
Observability and tracing experience (OpenTelemetry, Splunk, etc.)
SaaS and third‑party vendor integration experience
Background working in regulated environments such as utilities or energy
Cloud or integration‑related certifications are a plus but not required

Responsibilities

Own and govern end‑to‑end integration architecture across telephony platforms, APIs, and enterprise data systems
Design and implement real‑time and batch data pipelines supporting AI and analytics workloads
Architect secure API integrations using enterprise patterns such as API gateways, OAuth 2.0, and event‑driven designs
Enable secure data exposure and transaction execution for AI platforms
Establish reusable integration patterns for vendor evaluation and production scalability
Serve as the primary technical liaison between internal teams and external AI/telephony vendors
Ensure observability, traceability, and auditability of integrations using modern tooling (e.g., OpenTelemetry)
Collaborate daily with architecture leadership, IVR teams, data, security, network, and infrastructure partners