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

New

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

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

Cloud Solution Architect - Cloud & AI Data Platform

As a Cloud Solution Architect (CSA) for Cloud & AI Data Platform, you will suppo...

Location

United States , Multiple Locations

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
OR equivalent experience
Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties

Job Responsibility

Act as the technical service leader and SME on the entire lifecycle of Success Program services focused on Cloud & AI Data Platform
This includes aligning service architecture and design with business priorities and requirements, orchestrating build and deployment, managing updates, and supporting change adoption
Demonstrate thought leadership and subject matter expertise across AI service components, developing IP, influencing design and delivery quality, and enabling others through strategic guidance
Lead technical engagements across design, build, and operations, removing blockers and accelerating adoption of Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure SQL, Microsoft Fabric, Azure AI Foundry, MLOps, Azure Machine Learning, and data governance platforms
Drive positive Customer Satisfaction and become a trusted advisor, providing feedback & insights from customers/partners as you develop and expand impactful relationships with customer and partner architects, C-level Technical Decision Makers (TDMs), and business stakeholders
Provide direction to TDMs and build the bridge between TDMs and Business Decision Makers (BDMs)
Develop opportunities to drive Customer Success business results and help Customers get value from their Microsoft investments
Support team technical skilling on Microsoft data & AI platforms based on area demands & Customer Success goals, share expertise in relevant communities, contribute to IP creation & reuse, and connect gaps and patterns across business and technology areas
Partner with other CSAs, CSAMs, and Product Groups to drive unified delivery and technical excellence

Fulltime

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Gurugram

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring
Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
Lead as SME in the area of ML/AI/Gen AI
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy
Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines

Fulltime

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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