Your new company
Havi, a global leader since ****, employs over 10,000 people and serves customers in more than 100 countries.
Specializing in the food service industry, Havi provides innovative supply chain and logistics solutions, including analytics, planning, distribution, and freight management.
Havi Supply Chain Tech Hub 's diverse teams collaborate seamlessly across locations and functions, embodying a spirit of integrity and creativity to serve their customers in the best way possible.
Your new role
As an AI Solution Architect within the Intelligent Automation CoE, you will provide end-to-end solution designs that combine Intelligent Automation (RPA, workflow, agentic applications), Data & Analytics (domain data products, semantic layers, metrics, BI), and AI enablement (gateway, RAG, guardrails) to deliver measurable business outcomes.
It owns non-functional requirements (NFRs), security-by-design principles, and integration patterns across various Supply Chain and GBS domains.
Operating as the technical linchpin within each domain triad — Domain Product Owner, IA Pod Lead, and Solution Architect — the role ensures that delivery teams and vendors build solutions aligned with enterprise standards, enabling consistency, scalability, and long-term value.
You will be responsible for:
Domain solution architecture
Lead solution design for priority use cases (e.G., Freight ETA copilot, AP/PO exception automation, Contract Q&A)
Produce end-to-end views (process, data, integration, security, run)
Define NFRs (latency, throughput, resiliency, RTO/RPO, cost targets)
Ensure NFRs are testable and tied to KPIs
Patterns & standards
Publish and maintain reference patterns: API façade, eventing, warehouse/semantic layer access, RAG topology, secrets/KMS, observability
Codify data contracts and schema-evolution rules with Data Enablement & Governance
Enforce lineage and DQ gates for Tier-1 data
Security & compliance by design
Embed privacy/PII controls, masking/pseudonymisation, data residency, and LLM egress allow-lists
Ensure Legal/HR use cases apply stricter controls and human-in-the-loop where required
Build-time and run-time enablement
Guide IA pods and analytics engineers through implementation
Review PRDs/SDDs and sign off design-to-build readiness
Define operability: SLOs, dashboards, alerts, runbooks, failure modes
Participate in post-incident reviews and cost/performance tuning
Governance & reviews
Run or support the Design Authority cadence
Drive architecture compliance
Maintain the integration/catalog of services and re-usable components
Partner with PMO to align sequencing/dependencies
Partner with AI Platform & Safety for evals/guardrails
Partner with EPAM for platform readiness
Vendor management & acceptance
Translate designs into clear acceptance criteria
Review deliverables for compliance with patterns, security, and NFRs
Sign off go-live readiness
What will you need to succeed
Academic Background in Computer Science, Information Systems, Software/Data Engineering, Data/Analytics (or related field);
Certifications in TOGAF, Snowflake, Databricks, dbt (Fundamentals), ISO *****, and Cloud Security (would be a pus);
+8 years of experiencie in Solution/Enterprise/Data Architecture or Engineering roles;
+3 years designing data/analytics or IA solutions at scale ;
Experience withdata and analytics stack (including warehouse/lakehouse, ELT/ETL, dbt, semantic layers, BI, MDM concepts, data contracts, lineage and observability);
Proven experiencie delivering in Supply Chain, or adjacent domains (orders, shipments, lanes, cost-to-serve and OTIF);
Exposureto AI (such as RPA, workflow orchestration, event-driven patterns, exception handling and runbooks);
Integration expertise across APIs, iPaaS, eventing and streaming, with focus on performance, resilience, security, cost, and zero-trust/data-egress controls;
Strong architectural documentation and diagramming (delivers crisp verbal briefings for executive and engineering audiences);
Hands-onexperiencie working in Cloud (Azure, AWS, GCP) and API/iPaaS platform;
Comfortable managing vendors (SOWs, SLAs and acceptance criteria);
Familiarity with AI enablement for consumes (including LLM gateways, RAG architectures (embeddings, vector stores, chunking, caching), evaluation and guardrails (no custom LLM training));
Able to review code and SQL (when needed) and to lead design reviews and audits;
Able to right-size architecture for Lean vs Balanced delivery models;
Pragmaticmindset, balancing speed vs control;
Strong collaboration skills (promotes cross-team problem-solving, adapts quickly, anticipates risks, empowers teams, and builds lasting partnerships);
Excellentcommunication skills – Fluency in English.
What the company can offer you
Have the opportunity to join a cross-functional team in an international company with a multicultural working environment!