AI Product / Platform Lead (SME) Job at Randstad (Genève)

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Lead Developer / Tech Lead (AI) (SME)

Our enterprise clients are embedding AI deeply into core software systems, produ...

Location

Switzerland , Genève

Salary:

Not provided

Randstad

Expiration Date

May 31, 2026

Requirements

Strong background in software engineering and technical leadership
Experience leading development teams on complex systems
Exposure to AI-enabled systems or data-intensive platforms
Engineering excellence and craftsmanship
Strong ownership and accountability
Ability to balance speed with long-term maintainability
Comfortable operating in complex, enterprise environments

Job Responsibility

Define and enforce software engineering standards for AI-enabled systems
Lead architectural and technical design decisions
Review code, designs, and implementations across teams
Mentor and guide developers working on AI-integrated applications
Design and implement scalable backend and service architectures
Integrate AI models and platforms into production software
Ensure clean separation between application logic, AI services, and data layers
Drive reliability, performance, and maintainability of AI-enabled systems
Translate architectural designs into executable technical plans
Coordinate development activities across teams

!

Acquisition AI Integration Subject Matter Expert

The Acquisition AI Integration SME role focuses on integrating acquisition, cont...

Location

United States , California, MD; Arlington, VA; Pax River Naval Base

Salary:

145000.00 - 210000.00 USD / Year

KAIROS Inc

Expiration Date

Until further notice

Requirements

Expert level experience in NAVAIR acquisition and contract analytics systems
Excellent project management skills, with the ability to manage cross-functional teams
Strong communication and interpersonal skills, capable of leading technical discussions and driving alignment across teams.
Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues in a fast-paced environment.
Strong customer relations, analytics, documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently
Ability to multi-task and meet competing, deliverable deadlines

Job Responsibility

Acquisition AI Integration and Engineering Leadership
Support ongoing data, AI, and platform integration efforts with a specific focus on acquisition and contracting workflows for ACAT I and II programs into the latest NAWCAD War Room application and AI suites
Deliver AI-driven acquisition solutions that automate and optimize contract data processes, ensuring compliance with DoD and DON procurement standard
Provide SME feedback for integrating NAVAIR systems such as Program Management Tool (PMT) and Acquisition Management System (AMS)
Lead numerous product management related meetings and use latest Agile management best practices and enterprise tools
Technology Leadership: Lead multi-disciplinary hardware, software, AI, and data engineering teams focused on delivering capabilities and features described on the latest KAIROS EPAD technology roadmap.
Recommend and implement cutting-edge technologies and methodologies to improve KAIROS data automation processes and platform capabilities.
Cross-Functional Collaboration: Collaborate with engineering, manufacturing, and product teams to ensure successful design and implementation of enterprise platform and data-automation solutions across various applications.
Work closely with supply chain and operations teams to ensure material availability, cost efficiency, and process sustainability.
Lead training programs and knowledge sharing initiatives to build internal expertise.

What we offer

Medical Coverage
Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
Health Savings Account with Contribution by Employer
401K Plan with Employer Matching
Annual Discretionary Bonuses
Paid Time Off
Eleven (11) Paid Holidays
Certification reimbursement program
Tuition Reimbursement Program
Paid Parental Leave

Fulltime

Principal Product Security Engineer

Do you thrive at the intersection of cybersecurity and AI, with a passion for se...

Location

Australia

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Hands-on experience securing AI/ML systems, including models, data pipelines, and inference services
Experience in cloud security architecture and infrastructure for AI/ML workloads
Experience coding in Java, Javascript, Python, or Go, and at least one scripting language
Experience leading large-scale projects from start to finish
Adept experience providing SME knowledge and guidance to stakeholders and engineering functions
Proven experience in a technical leadership role within product security, with 2+ years of experience
Deep understanding of cybersecurity principles, threat landscape, and best practices
Strong knowledge of data security, privacy, encryption, and authentication methods
Experience with compliance standards such as ISO 27001, SOC 2, FedRAMP, or similar
Excellent leadership, communication, and interpersonal skills

Job Responsibility

Serve as the Technical SME, promoting automation, reviewing platform and service designs and architectures, and driving our security teams to equip the engineering partner teams with the latest tools, techniques, and methodologies to enhance AI security
Lead the charge in safeguarding our AI platforms and product experiences
Partnering across engineering, platform, infrastructure and privacy to foster a culture of secure and trustworthy AI that meets the highest industry standards

What we offer

Health and wellbeing resources
Paid volunteer days

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Sr. AI Lead Software Engineer

This is a great opportunity for an experienced senior level Software Engineering...

Location

United States , Indianapolis

Salary:

Not provided

Beacon Hill

Expiration Date

Until further notice

Requirements

Must have 10+ years’ experience in full stack software engineering
Must have 5+ years’ experience as a software development lead
Must be able to serve as technical lead / SME across an organization’s AI tools and services
Must have experience delivering multiple AI use cases into production at scale
Must have a solid understanding and experience with generative AI in the software development space
Must be able to architect and deliver production-grade LLM-powered applications, including chat, document intelligence, and agentic workflows
Must be able to mentor onshore and offshore engineering teams on use of AI to improve code quality, architecture discipline, and delivery velocity
Must be able to design scalable, secure, cloud-native systems using Azure, Docker, Kubernetes, and event-driven architectures
Must be able to design and implement prompt engineering, evaluation frameworks, and observability for AI systems
Must be able to ensure enterprise standards for authentication, authorization, and system integration

Job Responsibility

Use experience with generative AI to design, build, and scale AI driven applications that deliver measurable business outcomes
Blend of hands-on architecture, development, coaching and mentoring, technical leadership, client-facing execution, and a strong emphasis on Azure-based AI platforms, LLM integrations, and agentic systems for fast AI experimentation pilots

GenAI Engineering Lead

We are seeking an exceptional and highly motivated GenAI Tech Lead to join our d...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions, with a specific focus on GenAI adoption and Agentic AI for business process automation
Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued
Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies
Proficiency with transformers, agentic frameworks, vector stores, and advanced search algorithms
Hands-on experience with Retrieval Augmented Generation (RAG) implementations
Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
Extensive experience with data analysis and manipulation using tools like SQL and Pandas
Proficiency in database technologies including Oracle, Postgres, or MongoDB
Proven experience in designing and implementing robust REST and WebSocket APIs

Job Responsibility

Strategic Leadership & GenAI Adoption: Drive the identification, evaluation, and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms. Actively design, develop, and implement AI/ML solutions within financial applications, with a strong emphasis on practical GenAI adoption. This includes hands-on coding, prototyping, and deploying GenAI solutions
Agentic AI for Business Process Automation: Lead the end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise. This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data
Chatbot Development: Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources and unstructured data, leveraging GenAI for natural language understanding and generation in complex conversational flows
Document Processing & OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models
Text-to-SQL Implementation: Develop and deploy solutions leveraging Large Language Models to facilitate Text-to-SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases
Data Analysis & Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps, incorporating GenAI and Agentic AI possibilities into discussions
System Enhancements & Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI and Agentic AI components seamlessly
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI and Agentic AI where they can offer innovative solutions

Fulltime

Enterprise AI Solutions Technical Lead

Act as the technical lead responsible for implementing enterprise customers’ req...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
5–7 years of hands-on experience in developing and deploying AI/ML models in production environments
Advanced proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Strong expertise in building advanced Generative AI (GenAI) and Natural Language Processing (NLP) applications using modern large language models and frameworks (e.g., Hugging Face, Langchain, OpenAI APIs, Agents Frameworks)
Experience with big data processing and distributed computing using Apache Spark or similar technologies
Proficiency in building, deploying, and managing AI, GenAI and big data applications on cloud platforms (e.g., AWS, Azure, GCP)
Experience with MLOps tools and techniques for versioning, CI/CD, monitoring, and scaling models

Job Responsibility

Translate customers’ requirements into actionable data science tasks and implementation plans
Lead the development, training, and deployment of AI models and data pipelines tailored to customer-specific requirements
Ensure models and AI components are scalable, efficient, and production-ready, with smooth integration into customer systems and enterprise platforms
Serve as the subject matter expert (SME) in machine learning, data science, and AI engineering practices
Provide hands-on technical guidance to data scientists, engineers, and MLOps teams, ensuring accurate and effective implementation
Lead technical squads through virtual collaboration, guaranteeing solutions are built to meet both customer expectations and technical standards
Validate model performance, data quality, and technical fit before solution handover
Collaborate with the Enterprise Tech Leads and Product Owners to review and confirm solution readiness based on business impact, feasibility, and model validation results
Provide input on task prioritization based on complexity, risk, and technical dependencies
Work alongside the Enterprise team to ensure implemented AI solutions meet business outcomes and address real customer needs

Select Country

AI Product / Platform Lead (SME)

Randstad

Location:
Switzerland , Genève

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 11, 2026

Expiration:
May 31, 2026

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