Engineering Manager, Data/ai Job at Procurify

New

Senior Supply Chain Strategy Program Manager

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organ...

Location

United States , Redmond

Salary:

96500.00 - 188400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Supply Chain Management, Business, Engineering, or related field AND 3+ years experience in end-to-end supply chain processes (e.g., planning, sourcing, logistics, fulfillment) and working across functions to deliver program outcomes OR Bachelor's Degree in Supply Chain Management, Business, Engineering, or related field AND 4+ years experience in end-to-end supply chain processes (e.g., planning, sourcing, logistics, fulfillment) and working across functions to deliver program outcomes OR equivalent experience.
Experience in hyperscale tech or top‑tier supply chain consulting (cloud, semiconductor, hardware, or global ops).
Strong analytical + executive communication skills to translate complex technical/financial insights into clear recommendations.
Familiarity with digital supply chain technologies, including advanced analytics, automation, and AI/ML–enabled tools in supply chain.
Master's Degree in Supply Chain Management, Business, Engineering, or related field AND 5+ years experience in end-to-end supply chain processes (e.g., planning, sourcing, logistics, fulfillment) and working across functions to deliver program outcomes OR Bachelor's Degree in Supply Chain Management, Business, Engineering, or related field AND 7+ years experience in end-to-end supply chain processes (e.g., planning, sourcing, logistics, fulfillment) and working across functions to deliver program outcomes OR equivalent experience.

Job Responsibility

Lead end to end supply chain strategy development, shaping multiyear transformation roadmaps, strategic priorities, and translating them into clear program structures, success metrics, OKRs, and KPIs.
Conduct industry thought leadership, benchmarking, and gap analysis to identify structural constraints, performance gaps, cost drivers, and emerging risks
convert insights into actionable, business-value-aligned recommendations.
Develop and present business cases for capital, resourcing, and technology investments grounded in ROI, feasibility, and strategic alignment.
Drive integrated e2e workflow solutions by partnering with Product Management, Engineering, Operations, and Supply Chain teams across planning, sourcing, manufacturing, logistics, and spares.
Orchestrate cross-functional alignment, ensuring unified execution, dependency management, and shared accountability across Planning, Sourcing, Make, Deliver, Engineering, and Finance.
Advance digital and AI-First supply chain capabilities by defining requirements with Engineering and Data/AI teams and accelerating adoption of Agentic AI workflows, automation and analytics.
Lead scenario planning, resilience modeling, and risk-management frameworks to strengthen continuity, responsiveness, and informed decision-making.
Craft executive-ready narratives, decision frameworks, and prioritization mechanisms that simplify complexity and secure alignment and investment for key initiatives.
Own end‑to‑end program management and operating model design, establishing governance routines, capability-building mechanisms, change management plans, and cross-functional alignment in ambiguous environments.

Fulltime

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Data & AI Engineer

As a Data & AI Engineer at NTT DATA, you will design and implement scalable data...

Location

Belgium , Diegem

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3–7+ years in data/AI engineering (or equivalent impact) delivering production systems on Azure
Python (production code, packaging, testing)
PySpark
SQL
Databricks (Repos/Workflows, Delta Lake, Unity Catalog, MLflow)
Azure AI Foundry (projects, prompt/eval flows, model endpoints)
Azure AI Search (index design, vector embeddings, skillsets/indexers, semantic search)
Azure OpenAI (prompt design, grounding, safety filters, function/tool calling, evaluation)
Terraform (AzureRM + Databricks providers), modular patterns, pipelines, approvals
Git & CI/CD (Azure DevOps or GitHub), code reviews, trunk‑based or GitFlow

Job Responsibility

Build reliable batch/stream pipelines in Databricks (Python/PySpark, SQL) with Delta Lake and Unity Catalog
Implement best practices for code quality, testing, documentation, lineage, and cost‑efficient performance
Design and deliver GenAI solutions using Azure AI Foundry (projects, prompt flow/evaluation), Azure OpenAI (chat/completions, tool/function calling), and Azure AI Search (indexing, vector search, semantic ranking) with robust RAG patterns
Instrument evaluation, grounding, safety checks, and quality metrics for AI features
Use MLflow for experiment tracking, model packaging, and deployment
standardize environments and feature stores where relevant
Build CI/CD for data and AI workloads (e.g., Azure DevOps/GitHub Actions) and implement monitoring & observability (logs, metrics, drift)
Provision Azure and Databricks resources with Terraform (modular design, workspaces/state, policies, service principals, Key Vault)
Apply RBAC, secrets management, data masking, and governance (Unity Catalog / Purview) with privacy‑by‑design and compliance best practices
Partner with product owners, architects, and SMEs to translate use‑cases into simple, secure, cost‑aware solutions

Fulltime

New

Data/AI Engineer

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the To...

Location

Canada , Toronto

Salary:

Not provided

Modoras Accounting Syd

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience
or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI
Proven track record of designing, building, and scaling distributed, production-grade systems
Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio)
Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments
Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm)
2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini
Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering
Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift
Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark)

Job Responsibility

Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems
Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS)
Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants
Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring
Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs
Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards
Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings

What we offer

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

New

Global Account Manager – Life Sciences

Integrated within the Key Account Management organization and in close collabora...

Location

Belgium , Etterbeek

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

4 to 6 years of experience in B2B complex sales, ideally in consulting, IT services, engineering or software for Life Sciences clients
Previous exposure to GSK, Philips, or other large pharma/medtech organizations
Experience managing strategic or difficult accounts, with proven recovery achievements
Strong business development skills: stakeholder mapping, entity opening, cross-sell, upsell
Comfortable navigating matrixed and regulated organizations
Interest in regulatory and technical topics (GxP, digital, automation, data)
Strong communication and coordination skills
able to lead transversal teams
Analytical mindset with P&L and KPI tracking capabilities
Master’s degree in business or engineering

Job Responsibility

Define and execute a strategic plan to stabilize, recover, and grow the GSK and Philips accounts
Rebuild relationships with key stakeholders across both organizations: C-Level, Procurement, IT, R&D, Quality, Regulatory, Manufacturing
Identify quick-win opportunities to restore trust and progressively increase market share
Lead or support responses to RFI/RFPs in coordination with technical and delivery teams
Establish long-term trusted advisor positioning with decision-makers
Understand sector-specific challenges: GxP, MES/LIMS, tech transfer, data/AI, automation, compliance, digital transformation
Propose relevant, scalable solutions leveraging Group capabilities (IT, Data/AI, Engineering, Quality, ACT...)
Monitor market trends, competition, and client evolutions to continuously adjust strategy
Coordinate all internal actors (business, delivery, recruiters, experts) working on GSK and Philips
Ensure effective collaboration between brands and business units involved

What we offer

Meritocratic culture and international career opportunities
Clear career path with personalized development routes
Access to our internal academy with over 250 training modules
Community engagement and frequent internal events
Strong CSR commitment through initiatives like WeCare Together
Work in a multicultural environment with over 110 nationalities

Fulltime

Senior Technical Writer

As Wiremind scales to meet enterprise customer needs, we want to improve our doc...

Location

France , Paris

Salary:

Not provided

Wiremind

Expiration Date

Until further notice

Requirements

5–10 years of experience as a Technical Writer / Documentation Specialist / Knowledge Manager
Experience with complex B2B products (SaaS platforms, business tools, data-driven software…)
Strong hybrid Tech x Product profile with a Product-first mindset
Ability to understand technical topics and translate them for non-technical audiences
Education: ideally an engineering background
Fluent French & English (professional level required) with the ability to produce high-quality written content in both languages
Excellent writing and synthesis skills
High autonomy and strong attention to detail

Job Responsibility

Document features, workflows, screens, business rules, and core concepts
Clarify user journeys, best practices, and usage guidelines
Maintain a clear documentation structure and reusable templates
Keep French and English versions aligned and up to date
Explain RM and optimization concepts and how CAYZN supports them
Make complex topics understandable (logic, parameters, outcomes)
Produce explainable content to support trust and adoption
Ensure consistency across French and English
Build a self-service knowledge base (FAQ, how-to, troubleshooting)
Define information architecture (categories, tags, glossary)

What we offer

Access to WellPass at a preferential rate to maintain your well-being
A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)
An annual budget for your IT equipment
A partnership with the People & Baby network of inter-company nurseries to help with childcare for children aged 0 to 3

Fulltime

New

AI Solution Architect (Insurance) - Agentic AI & Azure

The AI Solution Architect role at NTT DATA focuses on designing innovative AI sy...

Location

United States , Remote

Salary:

204105.00 - 285700.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years in solution architecture or enterprise technology roles (e.g., architect, principal engineer, platform lead)
3+ years delivering solutions for the insurance domain (P&C, Life, Health, or Reinsurance) in a carrier, MGA/MGU, broker, or consulting context
2+ years architecting or building LLM/GenAI applications in production or regulated enterprise settings
2+ end‑to‑end Azure‑hosted AI solutions delivered (from design to deployment) with measurable adoption
Bachelor’s degree in Computer Science, Engineering, Data/AI, or related field
Ability to travel 30%

Job Responsibility

Design end‑to‑end agentic solutions on Azure, from interaction to orchestration to observability
Define multi‑agent patterns that collaborate across underwriting, claims, and servicing
Apply Azure OpenAI, prompt orchestration, tool/skills calling, memory, and planning patterns
Establish autonomy guardrails, human‑in‑the‑loop checkpoints, and decision traceability
Build LLM‑driven reasoning + retrieval for document‑intensive flows (FNOL, submissions, endorsements, SIU, etc.)
Deliver conversational and task agents that integrate with core insurance platforms and data
Use Azure AI Studio, Azure OpenAI, Azure Cognitive Search, Functions, Logic Apps, Service Bus
Design secure integrations with policy admin, claims, billing, CRM, and document management systems
Implement RAG patterns using Azure data and search services with content safety and observability
Architect to insurance regulatory requirements (privacy, retention, auditability)

Fulltime

Principal Product Manager

We’re building next generation AI-powered skilling experiences that help people ...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Bachelor's Degree in Computer Science, Engineering, Human Computer Interaction, Data/AI, or related technical field or equivalent practical experience AND 12+ years of product leadership with enterprise SaaS/platform experience OR equivalent experience
6+ years experience improving product metrics for a product, feature, or experience in a market
6+ years experience disrupting a market for a product, feature, or experience
6+ years of experience end to end product management experience shipping largescale, cross functional products or platforms
6+ years of experience leading product teams building consumer products
6+ years of experience in machine learning and/or AI
4+ years experience taking a product, feature, or experience to market

Job Responsibility

Set the North Star – Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios
translate it into clear success metrics
Turn Insight into Product – Use qualitative and quantitative research to uncover unmet needs and convert them into crisp scenarios, roadmaps, and MVPs
Lead the Portfolio – Prioritize data informed investments
make tradeoffs across content, platform, telemetry, cost/latency, privacy, and compliance
Build AI First Experiences – Partner with Design and Engineering to ship LLM powered features (recommendations, coach, pathways, assessment) that are usable, accessible, and trustworthy
Raise the Bar on Quality – Establish measurement for engagement, learning outcomes, credential attainment, reliability, and performance
iterate based on evidence
Launch and Grow – Collaborate with Product Marketing and field teams to craft narratives, land launches (e.g., major events), and drive adoption and retention
Win with Partners – Work with internal/external partners (e.g., content providers, platform teams) to expand catalog depth, credentials, and enterprise integrations

Fulltime

Engineering Manager, Data/ai

Procurify

Location:
Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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