Applied AI Solution Engineer Job at Bentley Systems (Philadelphia)

Applied AI Solution Engineer

The AI Business Solutions team is responsible for driving the adoption of Artifi...

Location

Ireland , Dublin

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

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

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

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture

Are you passionate about using data science to transform how businesses understa...

Location

United States , Seattle; New York

Salary:

167100.00 - 248700.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
5+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
PhD, or PhD and 4+ years of designing experiments and statistical analysis of results experience
Experience in A/B testing
Proficiency in Python and SQL
experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Track record of delivering end-to-end data science solutions from problem definition through production deployment

Job Responsibility

Design, develop, and deploy statistical models and machine learning pipelines to drive product improvements and business decisions
Work directly with customers during production pilots to design, build, and deploy AI solutions that demonstrate measurable business value
Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes on customer outcomes
Build ROI models and business case tools that quantify the value of Connect Customer AI for existing customers transitioning from Connect Customer Basic
Develop and maintain forecasting systems for demand prediction, capacity planning, and workforce optimization
Develop and apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale
Partner with applied scientists and software engineers to productionize models, ensuring reliability, monitoring, and operational excellence
Enable AI Velocity teams with reusable analytical assets, diagnostic notebooks, and scalable tooling that accelerate customer engagements
Build benchmarking studies and optimization frameworks that demonstrate value across customer cohorts
Own success metrics and create mechanisms to measure model performance, adoption, and business impact

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

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

Applied AI Engineer II

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusi...

Location

United States , Redmond

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 2+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience
Bachelor's Degree AND 5+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience
1+ year(s) of experience using low-code/no-code platforms (e.g., Dataverse, Power Applications)
1+ year(s) of experience managing and configuring artificial intelligence solutions (e.g., chatbots)
1+ year(s) of experience with programming/coding
Familiarity with Azure services (Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, or similar cloud-native technologies)
Experience with CI/CD pipelines, automated testing, and production observability
Understanding of data structures, algorithms, and system design fundamentals

Job Responsibility

Translate product specifications into AI service architectures — decompose business intent into agent workflows, data source integrations, and scalable service designs
Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, including multi-agent coordination, tool integrations, and agent lifecycle management
Develop and iterate on LLM-based solutions including prompt engineering, model selection, cost/token optimization, and RAG pipeline design
Build evaluation systems including rubrics, golden datasets, and judge agents to validate agent correctness and safety before production deployment
Write production-quality C# and Python with test-driven development, ensuring services meet reliability, performance, and security standards
Deploy services using CI/CD pipelines, feature flags, and staged rollouts with full production observability (tracing, logging, metrics)
Implement secure service patterns including RBAC, Managed Identities, and secrets management
Integrate agents with Azure data sources and cloud-native services to ground agent responses in real-time signals
Apply Responsible AI practices across all agent development, ensuring outputs are safe, fair, and compliant
Execute reliably within sprint and co-development commitments across ACES and partner engineering teams

Fulltime

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

Sr. Software Engineer - Applied AI

GEICO is seeking an experienced Sr. Software Engineer to join our Unified Commun...

Location

United States , Palo Alto

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering or applied machine learning experience
1+ years working with Generative AI or LLM-based systems in production
Strong experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
Proven track record building scalable, resilient, secure, and maintainable systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
History of delivering measurable business outcomes with AI solutions
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Applied AI Solution Engineer

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