Artificial intelligence integration for collaboration & communication Job at Airbus (Toulouse Area)

Advanced System Designer for Video and Artificial Intelligence Avionic Computer

Airbus Commercial Aircraft is looking for a Advanced System Designer for Video a...

Location

France , Toulouse

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Graduate degree in Engineering
Experience in Avionics Computer development and architecture (Hardware / Software)
Experience in GPU (for video processing and heavy computations)
Fluency in English (written and spoken)
Proven capacity for proactive, autonomous work, coupled with good organizational and rigorous execution skills
Good communication and stakeholder management abilities, demonstrating a collaborative and team-player mindset

Job Responsibility

Capture high-level functional needs to define and mature the Video and AI computer technical characteristics
Explore different technologies and products available on the market to support the identified needs
Derive and mature unambiguous technical specifications
Identify and perform trade-offs studies to target the best compromises
Identify and mitigate technical risks
Define the architecture for Video and AI avionic computers as part of the overall next-generation system architecture
Support preliminary resources allocation of targeted software applications hosted on the Video and AI computers
Identify integration constraints and sizing needs from the platform including integration with a new video network
Initiate Validation & Verification and Certification strategy
Proactively capture lessons learned and improvement opportunities from current programs to shape the development of future IMA-dependent aircraft platforms

What we offer

Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis
Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services
Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application
Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility
Flexible working arrangements

Fulltime

Software Developer (Artificial Intelligence)

Software Developer (Artificial Intelligence) - Oxford Economics, a leading econo...

Location

United Kingdom

Salary:

Not provided

Oxford Economics

Expiration Date

Until further notice

Requirements

2+ years of professional software engineering experience, shipping production code in modern cloud environments
software engineering fundamentals, clean code, testing, version control, code review, modular design and a feel for when to be pragmatic versus principled
strong proficiency in C#/TypeScript, with comfort working across the stack from APIs through to lightweight user interfaces
experience designing, deploying and operating cloud-native services on Azure and/or AWS, including CI/CD and infrastructure-as-code
demonstrable hands-on experience building with large language models, including prompting, function and tool calling, retrieval-augmented generation, and agent design
practical experience integrating with model APIs (e.g. Anthropic, OpenAI, Azure OpenAI), with a clear understanding of cost, latency, context windows and rate limits
familiarity with vector databases, embeddings and modern retrieval techniques, including semantic search, hybrid search and reranking
knowledge of LLM evaluation: Understand the differences between LLM testing vs traditional software
comfort working across multiple teams and domains, quickly building enough understanding of someone else's problem to develop something useful
a strong bias for shipping prototypes, you would rather get something working in front of users than polish it indefinitely

Job Responsibility

Design, build and ship production software that brings AI capabilities to OE's production teams including agents, retrieval-augmented generation (RAG) pipelines, conversational interfaces, internal tools and client-facing features
embed with delivery teams to understand their domain, identify high-leverage opportunities for AI, and translate them into working software that genuinely improves how they work
collaborate with Product Owners to establish business requirements and develop them into tangible deliverables, adapting based on the business needs
build and operate Model Context Protocol (MCP) servers and other integrations that connect frontier models to OE's data, systems and workflows, including Salesforce, Microsoft 365, Azure and our proprietary economic forecasts and datasets
take ideas from prototype to production end-to-end, owning the full software lifecycle: design, code, testing, CI/CD, observability, cost monitoring, evaluation and safe rollout
apply solid software engineering fundamentals, clean code, testing, modularity, performance, security, to AI-enabled systems, where quality and reliability matter just as much as anywhere else
experiment with new models, frameworks and techniques as they emerge, and form a strong, well-evidenced point of view on what is hype and what is worth betting on
design evaluation harnesses and feedback loops so we can measure whether our features are actually working, and keep improving them as models and data evolve
help shape OE's internal AI tooling, including Claude skills, internal MCP servers, shared libraries and the wider AI application framework
embed AI safety, security and responsible-use practices into everything you build, including data handling, prompt-injection defences, and alignment with ISO 27001 controls and OE's AI Acceptable Use Policy

What we offer

Private Healthcare
Employee Assistance Program
Enhanced Maternity and Paternity Leave
Workplace Nursery Scheme
Cycle to Work Scheme

Fulltime

Applied Artificial Intelligence Scientist III

The Applied Artificial Intelligence (AI) Scientist III is a subject matter exper...

Location

United States , Los Angeles

Salary:

135136.00 - 216218.00 USD / Year

L.A. Care Health Plan

Expiration Date

Until further notice

Requirements

Master's Degree
At least 6 years of professional experience developing and deploying machine learning and AI solutions in enterprise or healthcare environments
Demonstrated experience leading full AI solution lifecycles – from problem definition to deployment and monitoring
Proven successful experience developing predictive models using structured and unstructured healthcare data (e.g., claims, encounters, eligibility, provider, quality metrics)
Experience with Python (Pandas, Scikit-learn, PySpark), distributed data frameworks (Spark), and MLOps concepts
Strong collaboration and mentorship experience, including guiding junior data scientists and analysts
Experience integrating AI solutions into production environments in collaboration with IT or Data Engineering
Experience with version control (Git) and model documentation best practices
Experience building and deploying models in production using MLOps frameworks and cloud platforms
Advanced programming skills in Python, including libraries for data processing, modeling, and analytics (e.g., Pandas, Scikit-learn, PySpark)

Job Responsibility

Design, train, validate, and deploy complex AI and ML models to address enterprise use cases across departments such as Health Services, Payment Integrity, Quality Improvement, Finance, and Provider Network Management
Lead all phases of the AI solution lifecycle – from problem framing and data engineering through model design, validation, and operational integration
Implement production-grade ML pipelines using modern MLOps practices, ensuring scalability, reproducibility, and continuous model performance monitoring
Serve as a subject matter expert in responsible and explainable AI, ensuring model fairness, transparency, and compliance with regulatory and ethical standards
Partner with business and technology leaders to identify and prioritize new AI use cases that align with the organization’s transformation strategy
Translate business challenges into well-structured analytical problems and lead cross-functional teams through data discovery, feature engineering, and algorithm development
Work directly with cloud-based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets
Mentor and coach staff, providing technical guidance, code reviews, and knowledge sharing
Document all model design assumptions, data sources, evaluation metrics, and deployment protocols for transparency and reproducibility
Communicate complex technical results in accessible, actionable ways for both executive and operational stakeholders

What we offer

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Fulltime

Artificial Intelligence (Ai) Engineer

We are looking for an Artificial Intelligence (AI) Engineer to join a machinery ...

Location

United States , Irvine

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7+ years of experience in AI engineering, machine learning, automation, or related solution development roles
Strong hands-on experience with Microsoft Power Platform, including Power Apps and Power Automate
Practical experience with Copilot Studio or the broader Microsoft Copilot ecosystem
Demonstrated ability to create AI agents, automated workflows, or intelligent business process solutions
Experience designing and delivering full end-to-end solutions, from requirements through implementation
Solid background in API integration and event-driven automation patterns
Strong communication skills with the ability to work directly with business stakeholders and technical teams

Job Responsibility

Collaborate with departments such as HR, Finance, and Marketing to uncover high-value AI opportunities and define solution goals
Convert business needs into technical designs for agent-based applications and intelligent workflow solutions
Build and enhance AI agents using Copilot Studio along with Microsoft Power Platform technologies
Develop automated, multi-step processes through Power Automate and connected enterprise integrations
Produce architecture documentation and implementation plans that support secure, scalable deployment
Provide technical direction and day-to-day guidance to distributed engineering resources, including offshore team members
Deliver working solutions within short engagement cycles while maintaining quality and business alignment
Lead initiatives from early prototype stages through enterprise deployment and operational readiness
Present proposed designs and completed solutions to architecture, security, and cloud governance stakeholders

What we offer

medical, vision, dental, and life and disability insurance
401(k) plan

Intermediate Software Engineer - Artificial Intelligence

We’re looking for a passionate Intermediate Software Engineer specializing in Ar...

Location

Canada

Salary:

100350.00 - 111500.00 CAD / Year

Tucows

Expiration Date

Until further notice

Requirements

Bachelor's degree in software engineering, computer science, or related field, with strong proficiency in Python and Golang
3+ years of professional software engineering experience in production environments
Solid understanding of modern AI/ML/LLM concepts, particularly transformer-based and open-source models
Hands-on experience with frameworks such as TensorFlow, Hugging Face, or similar
Experience using open-source models (e.g., LLaMA, Mistral, Mixtral) in real-world applications
Strong foundation in software design principles and service-oriented architecture
Experience contributing to scalable system and component-level architecture
Ability to design and build RESTful APIs for model serving and AI-enabled workflows
Understanding of API best practices, including versioning, security, and error handling
Working knowledge of relational and/or SQL databases and data modeling for AI use cases

Job Responsibility

Design and build AI-driven features for our domain services platform using Python and Golang
Integrate and fine-tune open-source models with cutting-edge architectures via tools like Ollama
Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services
Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features
Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models
Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team
Implement software solutions with intelligent features, helping teams automate tedious and repetitive tasks

Fulltime

Svp - Artificial Intelligence Lead Engineer - Banking Technology

Citi's Banking Technology organization is seeking an exceptional full stack hand...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on experience in engineering and executing scalable enterprise solutions
Expert-level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark)
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N)
Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems
Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems
Demonstrated experience in designing and implementing robust APIs for AI services
Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews
Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects

Job Responsibility

Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security
Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick time to value
Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement
Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies
Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services
Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance

Fulltime

Director, Artificial Intelligence

Reporting to the Senior Director, IT, the Director – Artificial Intelligence and...

Location

Canada , Saint-Augustin-de-Desmaures

Salary:

Not provided

Biscuits Leclerc Ltd

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Relevant senior-level experience (approximately 10+ years), including significant experience in a manufacturing or industrial environment
Demonstrated experience deploying AI solutions into production (beyond proof-of-concept)
Strong understanding of AI concepts (including generative AI and advanced analytics) and data governance
Ability to connect AI solutions to manufacturing operational challenges (quality, yield, predictive maintenance, optimization)
Solid experience managing complex projects and prioritizing initiatives based on business value
Inspirational leadership and ability to influence multidisciplinary, technical and non-technical teams
Excellent communication, knowledge-sharing, and change management skills
Strategic mindset, critical thinking, and ability to challenge the status quo

Job Responsibility

Define and lead the company's overall artificial intelligence strategy, aligned with the IT vision and business priorities
Identify, prioritize, and deploy concrete AI use cases that generate measurable gains (productivity, quality, cost reduction, safety, decision-making)
Develop clear and realistic AI roadmaps, including required investments, resources, timelines, and expected benefits
Act as a strategic AI advisor to senior management, operational teams, and external partners
Ensure responsible, ethical, and secure use of AI, including governance, compliance, cybersecurity, and risk management
Define and monitor performance indicators to demonstrate the business value created by AI initiatives
Promote AI adoption through communication, training, and change management support for teams
Collaborate with Business Intelligence and IT teams to ensure alignment between data foundations, analytics, and AI initiatives, without replacing their operational responsibilities
Lead, hierarchically or functionally depending on the initiative, internal teams and external partners involved in AI, data, and advanced analytics projects
Oversee the entire lifecycle of AI initiatives: ideation, proof of concept, industrialization, deployment, and continuous improvement

Fulltime

Artificial Intelligence (AI) Engineer

We are looking for a skilled Artificial Intelligence (AI) Engineer to join our t...

Location

United States , Tampa

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in machine learning frameworks, including TensorFlow, PyTorch, Scikit-Learn, and Keras
Familiarity with large language models (LLMs) and retrieval-augmented generation (RAG) pipelines
Strong programming skills in Python or C#
Knowledge of secure coding practices and data protection regulations
Ability to work with various datasets, including structured and unstructured data from databases, APIs, and other sources
Excellent problem-solving skills and the ability to develop practical solutions to complex challenges
Strong communication skills to effectively collaborate with technical and non-technical teams
A commitment to continuous learning and staying informed on emerging AI tools and trends

Job Responsibility

Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras
Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance
Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows
Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets
Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards
Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements
Participate in coding reviews and testing processes to ensure high-quality deliverables
Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards
Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

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Artificial intelligence integration for collaboration & communication

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Job Responsibility

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