AI Applications Solution Engineer Job at Microsoft Corporation (Hong Kong)

Solution Engineer - Cloud & AI Applications

Are you insatiably curious, deeply passionate about the realm of Cloud & AI and ...

Location

United States , Multiple Locations

Salary:

85100.00 - 169800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience
OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience
OR 3+ years technical pre-sales or technical consulting experience
OR equivalent experience
Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience
4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
Proficient on Agentic framework, AI Management & Security (e.g., Gen AI Ops, Sentinel, Responsible AI, orchestrator, monitoring)
Skilled with 1 or more frameworks, tools, languages (e.g., GitHub, Copilot Studio, VS Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, AI Assisted Dev Tools)
Understanding of full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)

Job Responsibility

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.
Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).
Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft through thought leadership in developer communities and customer forums
Embody our culture and values

Fulltime

Cloud & AI Solution Engineer - AI Apps

Are you insatiably curious, deeply passionate about the realm of AI & applicatio...

Location

United Kingdom , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, or a related field or equivalent work experience
Experience in technical pre‑sales, consulting, and customer‑facing architecture engagements
Proven ability to influence both technical and business decision‑makers
Strong track record leading complex customer architecture and technical pre‑sales engagements
Trusted technical advisor across Modern Database, AI Applications, and Data Platforms
AI Application Architecture
Full‑Stack & Cloud‑Native Development
Databases & Data Architecture
Hands‑on delivery of Proof of Concepts, Minimum Viable Products, and rapid prototypes, with direct contribution in architecture design sessions, hackathons, and customer validations—consistently converting concepts into scalable, production‑ready solutions.

Job Responsibility

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms
Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products
Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET)
Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring)
Represent Microsoft through thought leadership in developer communities and customer forums

Fulltime

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
A bachelor's degree in computer science, data science, or a related field is required
Strong proficiency in programming languages such as Python and Java
Experience with AI frameworks like TensorFlow and PyTorch
Strong analytical and logical thinking skills to tackle complex problems
Ability to work effectively with cross-functional teams
Familiarity with cloud platforms is often beneficial

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design, develop, and deploy state-of-the-art generative AI models
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

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

AI Solution Engineer

Whitehall Resources are currently looking for an AI Solution Engineer.

Location

Salary:

Not provided

Whitehall Resources Ltd

Expiration Date

Until further notice

Requirements

10+ years in Data Engineering, AI/ML, Generative AI, Agentic AI, NLP, Analytics, and Enterprise Solution Delivery
Min 3 years in Azure Databricks stack (Unity Catalog, Databricks Genie, Databricks Mosaic AI, Foundational LLM Models, Lakebase, Delta Tables, SQL, Model Serving, Databricks Auto ML, Databricks Apps/Agent Apps)
Build strong cross functional ways of working across Data & AI, IT, Digital and business teams so delivery is aligned, practical and business-led
Keep the internal and external customer experience at the center of data, analytics and AI delivery, with focus on reliable outcomes and decision support
Continuously build capability in modern data, analytics and AI practices and actively share knowledge with peers and business users
Apply structured problem solving to simplify complex data, process and technology issues and remove barriers to execution
Identify practical opportunities to improve business performance using modern data platforms, analytics, automation, GenAI and embedded AI capabilities
Adjust priorities and delivery approach in a dynamic business environment while maintaining governance, quality and business continuity
Develop AI assistants, agents, prompts, retrieval flows and evaluation methods
Build and integrate models, APIs, workflows and data driven solution components

Job Responsibility

To design, develop, deploy, govern, and continuously improve enterprise AI, Generative AI, Agentic AI, Machine Learning, and Intelligent Automation solutions across the organization
The Senior AI Engineer is accountable for building scalable AI platforms, AI agents, RAG architectures, LLM powered applications, ML Ops capabilities, and AI governance frameworks
The role is also accountable for building and maintaining AI ready data foundations through modern Data Engineering practices, ensuring trusted, governed, scalable, and reusable data products within the enterprise Lakehouse architecture using Databricks, Fabric, and Azure technologies
Design and build AI solutions
Support model and solution validation
Integrate AI into business workflows
Maintain and improve AI solutions
Follow responsible AI and data governance requirements

Azure Apps and AI Solution Engineer

Are you curious, passionate about building intelligent applications, and ready t...

Location

Canada , Toronto

Salary:

128000.00 - 222400.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 6+ years technical pre-sales or technical consulting experience OR equivalent experience
Hands-on experience designing production-grade, intelligent applications on Azure using AI Foundry, cloud-native app platform services (AKS, Container Apps, App Service), with the ability to guide customers through end-to-end AI application modernization decisions
Hands‑on experience building and shipping generative AI workloads on Azure, including RAG architectures, multi-agent orchestration, LLM engineering fundamentals (chunking/embedding strategy, hybrid search, reranking, eval-driven development), and integration with Azure AI Search
Solid understanding of end‑to‑end AI application architecture concepts, including model selection, prompt engineering, tool calling and MCP (Model Context Protocol), content safety, observability, and responsible AI practices
Experience building and deploying cloud-native applications across the Azure app platform—AKS, Container Apps, App Service, and Functions—and integrating AI capabilities via API Management, Copilot Studio, and GitHub Copilot to support intelligent, enterprise-scale workloads
Ability to guide customers through application and AI platform modernization decisions, balancing architecture, governance, cost, and performance considerations to enable AI‑ready and enterprise‑scale outcomes

Job Responsibility

Solid technical foundation designing and modernizing Cloud & AI solutions on Azure, partnering with customers to move from legacy environments to secure, scalable cloud‑native architectures
Ability to lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions
Experience influencing technical decision makers (architects, platform leads, engineering managers) by translating complex architecture into clear, defensible solutions
Solid understanding of hybrid and cloud‑native architectures, including networking fundamentals (virtual networks, secure connectivity, routing, performance considerations)
Knowledge of Azure security and compliance principles, including identity, networking security, data protection, and alignment to regulatory and compliance frameworks
Hands‑on technical mindset with the ability to design, validate, and explain architectures, not just describe services
Proven collaboration skills working with customers, partners, engineering teams, and account stakeholders to deliver outcomes
Commitment to continuous learning, leveraging Microsoft training resources, hands‑on labs, and certifications to deepen Cloud & AI expertise
Drive technical sales by using technical demos, proof of concepts, and technical architecture accelerators to influence solution design and enable deployments
Lead architecture sessions and technical workshops to accelerate Cloud & AI adoption

Fulltime

AI Solution Engineer

We are seeking a highly skilled Applied AI Engineer with 4–10 years of software ...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Hands-on RAG development including retrieval systems, chunking, indexing, evaluation, and pipeline orchestration
Experience with NotebookLM, RAG tooling, notebooklm-py, or similar retrieval libraries
Strong experience with Claude / Anthropic APIs, Claude Code, or equivalent LLM provider APIs
Proficiency with vector databases: Pinecone, Chroma, Weaviate, or similar
Strong understanding of embedding-based retrieval, indexing strategies, and vector search
Practical experience with LangChain or other AI orchestration frameworks
Experience building AI agents/workflows beyond simple chatbots
Strong Python development skills—Python-first tooling
Demonstrated experience shipping production-grade AI systems
Ability to work directly with non-technical stakeholders and explain technical concepts clearly

Job Responsibility

Design, build, and deploy RAG (Retrieval-Augmented Generation) pipelines using modern retrieval frameworks and vector databases
Build LLM-powered applications using APIs such as Claude / Anthropic or equivalent LLM stacks
Develop AI workflows using LangChain or similar orchestration frameworks for chaining, tool use, and multi-step reasoning
Build AI agents and workflow automation systems capable of autonomous, multi-step task execution
Implement vector storage, embedding pipelines, indexing strategies, and retrieval architectures
Work with business stakeholders to translate ambiguous requirements into actionable AI engineering solutions
Implement governance components—logging, monitoring, cost controls, and safe-execution patterns
Collaborate with cross-functional teams (engineering, product, data, and business teams)
Contribute to architecture discussions, design reviews, and technical decision-making
Ship production-ready AI systems with strong testing, observability, and reliability

Fulltime

Applied AI Solution Engineer

The AI Operations & Enablement team serves as the engine for Bentley Systems' in...

Location

United States , Philadelphia

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

5+ years experience in a hands-on, technical role such as Software Engineer, Application Developer, or a similar position, with a portfolio of projects you have successfully delivered
Passionate about using technology to solve business problems
Comfortable recommending the right tool for the job, whether it's configuration, integration, or custom code
Solid understanding of software development lifecycle (SDLC) best practices
Ready to embrace new development practices using AI copilots and digital teammates
Cloud Proficiency developing and deploying applications on major platforms (Azure or GCP), with experience in containerization and serverless computing

Job Responsibility

Select the best-fit technologies, from custom code to enterprise platforms to quantify business impact and directly shape our technology roadmaps
Build everything from autonomous AI agents to the intuitive UIs that drive their adoption, shipping and iterating on new solutions to solve real business problems
Own solutions from idea to production
Empower our business teams to operate the systems you built, creating lasting value and impact
Own the technical architecture and implementation
Engage directly with operational teams across the business to conduct user acceptance testing (UAT), gather feedback, and ensure the solution meets their needs
Collaborate with our central platform teams to consume their services and leverage their infrastructure

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life

Fulltime

Select Country

AI Applications Solution Engineer

Job Description

Job Responsibility

Requirements

Looking for more opportunities?