Artificial Intelligence (AI) Developer - Structural Job at Walter P. Moore and Associates

Analyst, Data Engineering, Digital & Artificial Intelligence Department

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field
5+ years of professional experience in machine learning and deep learning
Demonstrated experience building and deploying AI agents and agentic workflows
Hands-on experience with large language models (LLMs) and generative AI technologies
Proficiency in Python and relevant ML/DL frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
Deep understanding of LLMs and their optimization for enterprise use cases
Working knowledge of ontologies, knowledge graphs, and semantic technologies
Familiarity with cloud-based AI tools, particularly within the Microsoft Azure ecosystem
Strong analytical and problem-solving skills with attention to detail

Job Responsibility

Design and implement generative AI agents using large language models (LLMs)
Develop agentic workflows where AI agents collaborate seamlessly across business processes
Leverage state-of-the-art LLMs to create custom generative AI solutions tailored to business needs
Optimize AI agents for performance, reliability, and scalability within enterprise environments
Build and integrate ontologies and knowledge graphs into AI workflows to enhance data organization, retrieval, and reasoning
Apply semantic technologies to enable AI agents to operate within structured business contexts
Work closely with data analysts, data scientists, and application developers to integrate AI agents into end-to-end solutions
Utilize tools like Microsoft Semantic Kernel to enable seamless AI collaboration across workflows
Stay updated on advancements in generative AI, multi-agent systems, and related technologies
Explore innovative techniques and tools to improve AI agent capabilities and performance

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Gen AI Solution Developer

The Markets Intelligence team focuses on developing commercial insights from int...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced expertise in machine learning, deep learning, and artificial intelligence, with a proven track record of developing complex AI-driven solutions
Strong proficiency in Python, preferred experience in web frameworks like FastAPI or Flask
Proven experience building or designing chatbots (a portfolio or links to examples are highly encouraged)
Demonstrated ability to effectively communicate and collaborate with technical and non-technical stakeholders (e.g., Sales, Trading, MQA)
Markets experience highly preferred
Deep familiarity with prompt engineering, context window optimization, and evaluation frameworks
Good understanding of agentic architectures, including planning, reasoning, and multi-agent collaboration, preferred knowledge in LangChain, LangGraph etc.
Experience integrating chatbots or AI systems into CRM systems, websites, or mobile applications
Knowledge of AI/ML pipelines or data labeling processes
Experience in Data Analytics and its distribution via Chatbots.

Job Responsibility

Collaborate cross-functionally with diverse teams including Sales, Trading, Market Quantitative Analysis (MQA), and Technology to design, develop, deploy, and manage the full lifecycle of Generative AI chatbot solutions
Design and implement chatbot flows, scripts, and user interactions across platforms (e.g., internal messaging apps)
Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines using embedding models, vector databases, and context management techniques
Build and utilize agentic frameworks that enable multi-step reasoning, planning, and tool orchestration for end-to-end AI workflows
Integrate chatbots and AI pipelines with a variety of data sources, including structured (SQL, APIs, CRMs) and unstructured (text, PDFs) back-end systems
Use data analysis to create better models of human behavior and other complex systems
Stay current with the evolving Gen AI ecosystem, including AI/ML trends and best practices in conversational design and automation.

Fulltime

PhD Student AI Innovations

How do you imagine the car of the future - intuitive, connected, personal? And w...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in computer science, business informatics, industrial engineering or a related field
extensive knowledge in the field of artificial intelligence, data analysis, statistics, human machine interface and user experience required
sound programming skills, preferably in Python, C++, R, MATLAB
strong initiative, willingness and ability to work in a team and structured way of working
strong communication and presentation skills
English language level B2 and German language level C1

Job Responsibility

Researching the current state of the art in the areas of embedded LLMs, SLMs, edge-to-cloud deployments, multimodal LLMs and action models
deriving legislative, safety-critical and geographical requirements for processing data in the automotive context, e.g. on the basis of use cases
developing architectural concepts for data processing onboard and in-cloud, taking into account hardware requirements, implementing an assistant that processes static and dynamic driver-vehicle environment information including acoustic, haptic and visual input as well as a framework and a software architecture
implementing and applying the concepts on defined hardware, conducting empirical investigations as well as evaluating and classifying the concepts
documenting and preparing research results for internal stakeholders and the scientific community

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
special conditions for the purchase and leasing of vehicles
free seminars on scientific work and interdisciplinary qualifications
participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Ops Performance Manager - Data & Ai Focus

OPS Performance Manager - Data & AI Focus (m/w/d). We love what we do – from day...

Location

Salary:

Not provided

condor

Expiration Date

Until further notice

Requirements

University degree in Data Analytics, Business Informatics, Aviation Management, Engineering, or a comparable field of study
Solid experience in data analysis and visualization, ideally with Power BI, SQL, Python, or R
Passion for artificial intelligence and hands-on experience with GPTs, machine learning approaches, or workflow automation
Strong ability to translate complex data into clear, actionable insights
Structured, analytical, and results-oriented working style with a high degree of ownership and initiative
Excellent English communication skills, both written and spoken

Job Responsibility

Independently identify areas for improvement and develop data-driven solutions to sustainably enhance operational performance
Develop and implement AI-driven analytical methods (e.g., predictive analytics, GPT-powered tools, or process automations) to support data-informed operational decisions
Build, maintain, and continuously improve interactive dashboards and reports in Power BI to visualize performance indicators, process stability, and operational efficiency
Analyze large and complex operational datasets (e.g., punctuality, rotation stability, turnaround performance, irregularities) to identify trends, root causes, and optimization opportunities
Design and maintain data interfaces and automation workflows (e.g., using Python, Power Automate, or API-based systems)
Prepare executive-level presentations with clear insights and actionable recommendations for senior management
Lead and support special projects related to digital transformation and the advancement of data-driven decision-making processes

What we offer

Atmosphere - through a friendly and motivated team and flat hierarchies
Excitement - through an interesting and varied job in a fascinating industry
Further development - through competent induction as well as training and development opportunities
Benefits - through attractive travel discounts and social benefits in addition to industry-standard compensation

Senior Data Scientist - AI Modeling

As a Senior Data Scientist - AI Modeling at Baxter, you will work on creating an...

Location

United States

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field
4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production
Software development experience
Experience with healthcare data and working in a HIPAA regulated environment preferred
Experience with varying database structures and large datasets preferred
Experience with modern data science tools, such as Spark, Scala, Python, Databricks
Experience in Microsoft Azure cloud environment is preferred
Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau)
Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers
Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables

Job Responsibility

Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences
Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services
Predictive and generative AI Modeling
Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems)
Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights
Prepare data for effective model training
Develop, train, and evaluate predictive AI models using various tailored to specific problems
Continuously refine and optimize models for performance, scalability, and efficiency
Deploy models into production environments and supervise their performance
Identify opportunities where generative AI models can add value

What we offer

Comprehensive medical and dental coverage starting on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident
Employee Stock Purchase Plan (ESPP) with discount
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days based on length of service
Family and medical leaves of absence
Paid parental leave

Fulltime

AI Research Lab Research Associate

We are currently seeking highly qualified interns to accelerate research towards...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with Agentic AI and Generative AI workflows - desired

Job Responsibility

Conduct research and come up with solutions with a fast turnaround time
Build the software and applications for Neural Networks and Machine Learning
Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
Provide thought leadership and technical influence both internally and externally to HPE
Collaborate with HPE Labs research teams as well as external partners
Work in alignment with HPE's broader innovation community.

What we offer

Health & Wellbeing benefits including physical, financial and emotional wellbeing support
Personal and professional development programs
Unconditional inclusion and flexibility to manage work and personal needs.

Fulltime

Automation Group Manager

The Automation Group Manager is accountable for management of complex/critical/l...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of relevant experience in Banking, Financial Services
2-3 years of Managerial experience
Proficiency in data analytics and automation tools including SAS, Tableau, Appian, Xceptor, and other low-code/no-code automation platforms
Strong understanding of Artificial Intelligence (AI) concepts and AI programming principles
Demonstrates consistent track record of having worked as a Program or Project Manager, or working on large, strategic cross-functional projects
Strong business analysis competency with historic success in shaping opportunities via conceptual thinking and abstract problem-solving capabilities
Strong analytical and problem-solving skills, appreciation of the enterprise data vision
Experience creating and being a champion for a positive risk culture
Experience creating and executing against frameworks that improve the quality and value of data
Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms

Job Responsibility

Strategic Team & Program Leadership: Manages multiple teams and functional areas, ensuring appropriate staffing, and provides overall direction, coordination, and completion for complex programs and projects
Compliance & Risk Management: Oversees compliance with ITeSS processes and procedures, manages policy and procedure adherence, contributes to defining standards, and ensures appropriate risk assessment and control in business decisions
Operational & Control Optimization: Evaluates complex, critical, and high-risk issues to develop long-term control designs and automation solutions that reduce manual processes and associated risks
Innovation & Efficiency Driving: Assesses innovation opportunities, identifies new sources of growth and efficiency, optimizes business and operating models, and simplifies organizational structures to enhance operational efficiency
Cross-Functional Collaboration & Influence: Collaborates extensively with business and function managers to identify opportunities for growth, processing competence, and cost optimization
Project Planning & Execution: Develops, maintains, and manages rigorous project plans, including resource requirements, relationship management, and task management
Executive Communication & Best Practices: Develops compelling executive presentations to persuade decision-makers and develops and shares best practices and lessons learned across the enterprise
Mumbai Automation Site Lead: Serves as the Lead for the Mumbai location within the USPB COO organization

Fulltime

New

Senior Counsel, Privacy, AI & Data Responsibility

Mastercard is committed to balancing innovation while ensuring legal compliance ...

Location

United Kingdom , London

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Law degree required
Membership to a Bar (if permitted by law)
Solid expertise in the EU AI Act and other AI and data protection legal frameworks (e.g. GDPR, CCPA) globally
Good understanding of AI technologies, incl. Generative AI and fundamental rights considerations
Track record advising independently on Artificial Intelligence projects, products or solutions
Experience in drafting and negotiating AI and data-driven contract requirements
Ability to drive solutions that balance risk and innovation
Ability to lead process improvement and collaboration with various types of stakeholders (business, lawyers, data scientists, third parties such as customers and vendors)
Superior time management, planning, and organizational skills
Strong analytic capabilities, and written and oral communication skills

Job Responsibility

Analyze Cybersecurity solutions considering AI law requirements with the aim of identifying the relevant process and infrastructure requirements to ensure compliance with applicable privacy, cyber, AI and data protection laws globally
Lead the identification of business requirements inside the Cybersecurity space to streamline AI assessments, policies and processes for compliance with applicable AI laws, incl. EU AI Act
Develop contract structures that address privacy and AI governance requirements, including the review and negotiation of applicable language in agreements with affiliates, vendors, and customers to ensure compliance with global privacy, cyber, and AI regulations
Increase awareness among business clients, global privacy, legal, and AI governance teams regarding privacy, cybersecurity, and AI compliance as they relate to Mastercard Cybersecurity solutions—through targeted training, documentation, and cross-functional initiatives
Partner with stakeholders on all AI-related matters to implement legal, technical, operational and administrative requirements for Mastercard's AI-powered Cybersecurity solutions and uses stemming from evolving AI regulations globally
Serve as the first point of contact on Cybersecurity business questions with respect to applicable AI laws

Fulltime

Artificial Intelligence (AI) Developer - Structural

Walter P. Moore and Associates

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 25, 2025

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