AI Solution Architect & Integration Owner - Immediate joiners only

BU / FUNCTION DESCRIPTION

We are building a new AI Transformation center which will integrate into parts of ADITRAC (Accelerated Digital Transformation Center) and becoming our strategic advisory and technology partner for solving complex challenges in the journey of achieving your digital objectives. We work with all the business functions within Transportation Solutions and Sensors BU to drive Digitalization and create AI-driven solutions.

Our set-up is based on 3 main pillars to drive and deliver digitalization:

• Consulting and digital / AI advisory: Partner with each function to better understand challenges and design state-of-the-art solutions and agents
• AI Solutioning and Technology center: Mastering all technical disciplines and solutions
• Project Management and Security: Ensuring delivery on time and budget and with the necessary security levels.

ROLE OBJECTIVE

Design and deliver the end-to-end AI solution architecture, including model behavior, evaluation, integration, deployment, reliability, and cost - so the solution (or agent) is correct, safe, scalable, and operationally sustainable.

RESPONSIBILITIES

End-to-End Solution Architecture

• Select solution patterns: classical ML vs LLM vs hybrid, retrieval-augmented generation (RAG), orchestration, AI agents (if appropriate).
• Define system architecture: APIs, services, event flows, data interfaces, identity and access.
• Define non-functional requirements: latency, availability, scalability, resilience.

Model Behavior, Quality & Evaluation (explicit ownership)

• Own model/prompt behavior and quality: define evaluation strategy and acceptance thresholds.
• Implement evaluation: offline tests, golden datasets, regression testing for prompts/models.
• Own error analysis and failure mode mitigation (hallucinations, bias, data leakage, prompt injection risks).
• Define safe completion behavior for GenAI: guardrails, filters, and escalation paths.

Integration & Deployment Ownership

• Build/oversee integration into its applications and business workflows.
• Own the deployment approach (CI/CD, environment configuration, secrets, feature flags).
• Ensure observability: logging, metrics, tracing, model/prompt versioning.

Security, Privacy, Compliance-by-Design (technical)

• Ensure proper data handling, encryption, access controls, and least privilege.
• Ensure compliance requirements translate into technical controls (e.g., retention, PII handling).

Key Deliverables

• Solution architecture (HLD/LLD), interface contracts, integration plan
• Model/prompt strategy and evaluation plan (metrics, thresholds, test suites)
• MVP/pilot reference implementation + production deployment design
• Monitoring dashboards: latency, cost, errors, quality signals
• Runbooks: incident response, rollback plan, version management
• Security & privacy technical design notes (controls, data paths)

Decision Rights (owns the call)

• Technical architecture and build-vs-buy decisions (within agreed governance and project-lead)
• Model/prompt selection and evaluation gates for release readiness
• Integration approach and production readiness from a technical standpoint

Key Interfaces

• Collaborate with application owners / platform teams (cloud, DevOps, endpoint teams)
• Security engineering, IAM, network teams
• Data role training data, quality, lineage, and governance
• Business SMEs for evaluation scenarios and acceptance tests

EDUCATION/KNOWLEDGE

Bacholor degree: Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, Applied Mathematics or Engineering (with strong CS content)

QUALIFICATIONS & EXPERIENCE

Artificial Intelligence & Machine Learning

Model evaluation techniques (precision/recall, ROC, grounding metrics)

Overfitting, generalization, bias, and robustness

Understands LLM concepts:

• Prompt engineering
• Finetuning vs promptonly approaches
• Failure modes (hallucination, prompt injection)

Software Architecture & Engineering

• Distributed systems concepts
• API design and integration patterns
• Microservices, eventdriven architectures
• Observability (logging, metrics, tracing

3+ years of overall experience

MOTIVATIONAL/CULTURAL FIT

• Innovation demeanor Problem solving
• Proactive
• Working in a fast paced and dynamic environment
• Passion for technology
• Self development
• Results driven
• Clear and concise communication both locally and globally