Azure AI Developer Job at Procentrix

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior .NET Developer (Azure & AI-Driven Engineering)

As a Senior .NET Developer, you will play a key role in designing and delivering...

Location

North Macedonia , Skopje

Salary:

Not provided

HSO

Expiration Date

Until further notice

Requirements

Strong expertise in C# and .NET (Core / .NET 6+)
Proven experience with Microsoft Azure, including services such as: Azure App Services, Azure Functions, Azure Storage & Azure SQL, Messaging services (Service Bus, Event Grid)
Experience with API development, integrations, and microservices architectures
Hands-on experience with GitHub and modern version control workflows
Practical experience using GitHub Copilot or similar AI development tools
Solid understanding of cloud architecture and distributed systems
Experience with CI/CD pipelines and DevOps practices
Familiarity with Docker and container-based deployments

Job Responsibility

Design, develop, and deliver robust, scalable solutions using C# and modern .NET technologies
Build and optimise cloud-native applications leveraging Microsoft Azure services
Collaborate with functional and technical teams across HSO to deliver end-to-end solutions
Apply best practices in software engineering (clean code, SOLID principles, design patterns)
Use GitHub Copilot and AI-assisted tooling to improve development efficiency and code quality
Contribute to solution architecture and technical design decisions
Implement integration patterns, APIs, and microservices-based architectures
Support DevOps practices, including CI/CD pipelines, automated testing, and monitoring
Mentor junior developers and actively contribute to knowledge sharing within the team

What we offer

Work on innovative, international projects
Continuous investment in your professional development and certifications
Access to the latest Microsoft technologies and AI-enabled tools
A collaborative culture focused on knowledge sharing and excellence
Clear career growth paths within a global organisation
Flexible working model supporting work-life balance

Fulltime

Principal Developer, AI & Developer Team

The Principal Developer leading AI and Developer teams will report to the VP of ...

Location

United States; Canada

Salary:

291000.00 - 437000.00 USD; CAD / Year

1Password

Expiration Date

Until further notice

Requirements

15+ years of experience in software engineering or solutions architecture
At least 5 years designing and implementing complex integrations in SaaS, identity, or cybersecurity
Deep technical knowledge of identity and access management standards and protocols (e.g., SAML, OIDC, SCIM, OAuth2, JWT, session termination patterns)
Hands-on experience building integrations with major cloud platforms (e.g., AWS, GCP, Azure) and/or security tools (e.g., SIEM, SOAR, IdPs)
Demonstrated ability to prototype and deliver working software in languages commonly used for integration (e.g., Go, Python, TypeScript)
Proven ability to work cross-functionally with Engineering, Product, and GTM teams to translate partner opportunities into technical outcomes
Strong communication skills with the ability to represent technical strategy to executives, partners, and customers

Job Responsibility

Define and prioritize integration paths with strategic partners across the identity, security, and developer ecosystem
Rapidly design and prototype advanced integrations such as MCP server connectors, ephemeral credential brokers, and agentic AI security workflows
Develop reusable reference architectures and integration blueprints
Partner closely with Engineering, Security, Product, and Business Development teams to translate integration opportunities into impactful product outcomes
Explore novel use cases around PAM-in-the-browser, confidential computing for session management, and AI-driven security automation
Represent 1Password’s integration vision in technical forums, with partners, and at industry events
Ensure all integrations meet high standards for security, performance, and maintainability

What we offer

Health benefits
Dental benefits
401k/RRSP
Generous paid time off
Equity grant
Incentive programs
Maternity and parental leave top-up programs
Retirement matching program
Free 1Password account
Paid volunteer days

Fulltime

Ai Engineer – Microsoft Fabric & Azure Ai Foundry (Contract)

We are looking for an experienced AI Engineer to lead the implementation of Azur...

Location

United States , New York City

Salary:

75.00 - 110.00 USD / Hour

Valtech

Expiration Date

Until further notice

Requirements

5+ years of experience in cloud engineering, AI engineering, or data platform architecture
Strong hands-on experience with: Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Data Services
Experience integrating AI workloads into enterprise analytics platforms
Proficiency in Python and/or C#
Experience with REST APIs, SDKs, and AI orchestration frameworks
Knowledge of: Vector databases, Retrieval-Augmented Generation (RAG), Prompt engineering, Model evaluation and monitoring
Familiarity with DevOps practices including GitHub Actions or Azure DevOps
Strong understanding of enterprise security and governance

Job Responsibility

Design and implement AI solutions using Microsoft Azure AI Foundry within an existing Microsoft Fabric architecture
Integrate AI services with Fabric components including: Data Factory, OneLake, Power BI, Lakehouse and Warehouse environments, Real-Time Analytics
Build and operationalize generative AI and machine learning workflows
Configure and manage: Azure AI Services, Azure OpenAI, Model deployment pipelines, Prompt orchestration and evaluation
Establish secure connectivity between Azure AI Foundry and enterprise data sources
Implement governance, RBAC, security, compliance, and cost management controls
Develop reusable AI pipelines, APIs, and automation frameworks
Collaborate with platform teams to ensure scalability, observability, and production readiness
Support CI/CD and Infrastructure-as-Code deployment patterns
Provide technical leadership and documentation for AI platform adoption

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior AI Engineer – Microsoft Fabric & Azure AI Foundry

We are looking for an experienced AI Engineer to lead the implementation of Azur...

Location

United States , New York City

Salary:

160000.00 - 220000.00 USD / Year

Valtech

Expiration Date

Until further notice

Requirements

5+ years of experience in cloud engineering, AI engineering, or data platform architecture
Strong hands-on experience with: Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Data Services
Experience integrating AI workloads into enterprise analytics platforms
Proficiency in Python and/or C#
Experience with REST APIs, SDKs, and AI orchestration frameworks
Knowledge of: Vector databases, Retrieval-Augmented Generation (RAG), Prompt engineering, Model evaluation and monitoring
Familiarity with DevOps practices including GitHub Actions or Azure DevOps
Strong understanding of enterprise security and governance

Job Responsibility

Design and implement AI solutions using Microsoft Azure AI Foundry within an existing Microsoft Fabric architecture
Integrate AI services with Fabric components including: Data Factory, OneLake, Power BI, Lakehouse and Warehouse environments, Real-Time Analytics
Build and operationalize generative AI and machine learning workflows
Configure and manage: Azure AI Services, Azure OpenAI, Model deployment pipelines, Prompt orchestration and evaluation
Establish secure connectivity between Azure AI Foundry and enterprise data sources
Implement governance, RBAC, security, compliance, and cost management controls
Develop reusable AI pipelines, APIs, and automation frameworks
Collaborate with platform teams to ensure scalability, observability, and production readiness
Support CI/CD and Infrastructure-as-Code deployment patterns
Provide technical leadership and documentation for AI platform adoption

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

New

Python - Gen AI Developer

We are seeking a highly skilled and motivated Python/Generative AI Developer to ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
8+ years of professional experience in software development, with a strong focus on Python
Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX
Experience with Google ADK or similar Google AI/ML platforms and SDKs
Strong front-end development skills, particularly with React, for building interactive user interfaces
Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques
Solid understanding of machine learning principles, algorithms, and data structures
Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models
Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Job Responsibility

Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch)
Integrate Generative AI capabilities into existing systems and develop new AI-powered applications
Build and maintain dynamic and responsive chat interfaces for Generative AI solutions using React, incorporating features such as HTTP streaming for real-time updates, asynchronous processing for efficient user experience, secure file upload capabilities, and advanced chat formatting
Conduct research and stay up-to-date with the latest advancements in Generative AI, natural language processing, and machine learning
Optimize and fine-tune AI models for performance, scalability, and efficiency
Develop robust data pipelines for training, evaluation, and deployment of AI models
Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions
Ensure the responsible and ethical deployment of AI models, adhering to best practices and regulatory guidelines
Write clean, maintainable, and well-documented code, adhering to software development best practices
Participate in code reviews, contribute to architectural discussions, and provide technical guidance

Fulltime

Senior Azure AI Platform Engineer

We’re partnering with a rapidly growing, private equity–backed technology compan...

Location

United States , Park Ridge

Salary:

130000.00 USD / Year

Strategic Employment Partners

Expiration Date

Until further notice

Requirements

6+ years of software engineering experience
Strong hands-on experience with C# and .NET
Experience building or integrating AI/ML solutions in production environments
Cloud experience (Azure preferred
AWS/GCP acceptable)
Strong experience with REST APIs and modern backend architecture
Comfortable working in a hybrid environment (3 days onsite weekly)

Job Responsibility

Build and integrate AI-powered capabilities into a .NET application stack
Develop backend services and APIs using C#/.NET
Design and implement cloud-native components and microservices in Azure
Integrate Azure AI / OpenAI (or similar cloud AI services) into real-world workflows
Partner with product and business teams to translate AI ideas into production-ready solutions
Help establish patterns and best practices for scalable, secure AI adoption

Fulltime

Principal Software Engineer - Azure AI Translation & Language Team

Do you want to build a foundational platform that powers global AI experiences a...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, or related field AND 6+ years of software development experience with coding in languages including, but not limited to, C, C++, C#, Java, or Rust OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Lead the design and implementation of large-scale, distributed systems that power Azure AI translation and language services
Define and evolve platform architecture for high availability, scalability, and performance across global deployments
Drive improvements in reliability, fault tolerance, and operational excellence for mission-critical services
Build and enhance core infrastructure components such as service orchestration, workload management, and data pipelines
Establish best practices for service observability, monitoring, alerting, and incident response
Collaborate with partner teams (including applied science and product teams) to enable robust and scalable service integrations
Mentor engineers and set a high bar for system design, code quality, and engineering rigor across the team

Fulltime

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Azure AI Developer

Job Description

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