sr. ai developer

sr. artificial intelligence engineer Jobs in Boston

sr. artificial intelligence engineer

senior software engineer

ASUS COMPUTER INTERNATIONAL

<div></div><div><p><b>Job Description Overview:</b>
</p><p>The ASUS Robotics &amp; AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building the perception systems that allow our UAVs and other autonomous platforms to understand and operate in complex, real-world environments.</p><p>
We are looking for a hands-on engineer with practical experience taking computer vision algorithms from prototype to production, a strong foundation in 3D geometry and multi-sensor data, and a passion for making the math, the algorithms, and the code work together on real hardware. The ideal candidate thrives at the intersection of computer vision, robotics, and embedded systems, and is motivated by the challenge of delivering robust perception under the constraints of real-world autonomy.</p><p><b>
Essential Duties and Responsibilities:</b><b>
</b></p><ul><li>Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.</li><li>
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.</li><li>
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce accurate, low-latency situational awareness.</li><li>
Optimize algorithms for deployment on resource-constrained edge and embedded compute platforms.</li><li>
Characterize and quantify the performance of perception components through simulation, lab testing, and real-world field testing.</li><li>
Collaborate with robotics, software, and hardware teams to integrate perception components into the broader autonomy stack.</li><li>
Write clean, maintainable, and well-documented source code adhering to modern software development practices.</li><li>
Work in a cross-functional team that takes ownership of the full software lifecycle.</li></ul><div><b><br>
Knowledge and Skills:</b></div><br>
<div></div><ul><li>
Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).</li><li>
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.</li><li>
Proficiency in C++ and Python, with a commitment to writing clean, well-architected code.</li><li>
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.</li><li>
Experience deploying perception software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.</li><li>
Experience with robotics, autonomous systems, or real-time perception applications is a plus.</li><li>
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.</li><li>
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required</li></ul><div><b><br>
</b></div><p><b>Required Qualification</b><b>s</b><b>:
</b></p><p><b>Years of Education
</b></p>Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.<br>
<ul><li>
</li></ul><p><br>
<b>Work Experience</b></p><ul><li>
5+ years of industry experience developing and deploying computer vision or perception software.
</li><li>Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.</li><li>
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as PyTorch or TensorFlow.</li></ul><p><b><br>
Working Conditions</b><b>:</b>
</p><ul><li>Typically working in an office environment</li><li>
This is an IN-OFFICE position in Boston, MA (3 days in office / 2 days work from home)</li><li>
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time</li><li>
Travel requirements: 10%<i> travel</i><i>, domestic/international</i></li></ul><div></div><div><i><br>
$164,000 - $237,000</i><i> annually is the estimated pay range for this role working in </i><i>Boston</i><i>, </i><i>Massachusetts</i><i> office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our </i><i>comprehensive employee</i><i> benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k).</i><br>
<br>
<i>ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.</i></div><p></p><p><b><br>
About the ASUS Robotics &amp; AI Center</b></p><p>
The ASUS Robotics &amp; AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.</p><p>
 <b>More About ASUS</b></p><p>
ASUS is a global technology leader that provides the world&rsquo;s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&amp;D experts, the company is world-renowned for continuously reimagining today&rsquo;s technologies. Consistently ranked as one of Fortune&rsquo;s World&rsquo;s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.</p></div>

Senior Computer Vision Engineer

Plymouth Rock Assurance

<div><p>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.</p>
<p>
</p><p>The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
</p><p>You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.</p>
<p>
</p><p><b>Key Responsibilities:</b></p>
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.<b>
</b></li></ul><p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>5+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
<p><b>Salary Range:
</b></p><p>The pay range for this position is $135,000 to $200,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
</p><p></p><p><b>Perks and Benefits:</b></p>
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
<p>About the Company</p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;</i></p>
<p>
#LI-SM1</p></div><p></p>

Sr. Artificial Intelligence Engineer

Workday

<div><p><b>Your work days are brighter here.<br>
</b></p><br>
<p>We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.<br>
</p><p></p><br>
<br>
<br>
<p><b>About the Team<br>
</b></p><br>
<p><b>About the Role<br>
</b></p><br>
<p>Maintains the relationships and monitors performance of information technology vendors contracted for the delivery of outsourced services. Public (AWS, Azure, GCP) analysis of actuals to budget / forecast, analyze key areas of waste and optimization, and utilization rates. Extract and analyze large scale data within cloud billing and usage, to support senior engineering and financial partners in decision making. Describe and implement opportunities for price optimizations initiatives with public cloud vendors including Reserved Instances (RIs) and Monthly Savings Plans. Identification, implementation, and maintenance of AWS Key Performance Indicators. Extract and analyze sophisticated datasets using well optimized SQL queries, Python and R. Configure analytics platforms Looker and Portal Lightdash to create dashboards and reports to provide business insights and drive business development. Monitor service level objectives by building Grafana dashboards to track metrics like service status. Create alerts for significant changes in key metrics for teams to address anomalies in time.
</p><p></p><p>Salary Range: $161,300 - $241,900<br>
</p><br>
<p><b>About You<br>
</b></p><br>
<p><b>Basic Qualifications
</b></p><p>Master's degree in Data Science, Data Analytics or related field.
</p><p>Completion of a university level course, research project, internship, or thesis in Public cloud GCP BigQuery data analysis;
</p><p>Completion of a university level course, research project, internship, or thesis in Cloud data machine learning modeling;
</p><p>Completion of a university level course, research project, internship, or thesis in Cloud data visualization using Python and SQL;
</p><p>Completion of a university level course, research project, internship, or thesis in Extracting and processing large-scale datasets using SQL queries and Python; and
</p><p>Completion of a university level course, research project, internship, or thesis in Configuring analytics platforms comparable to Looker to build dashboards and create reports.<br>
</p><p><br>
<b>Workday Pay Transparency Statement<br>
</b></p><br>
<p>Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here .<br>
</p><p></p>Primary Location: USA.MA.Boston<br>
<p></p><p><br>
<br>
<b>Our Approach to Flexible Work<br>
</b><br>
</p><p>Workday uses a hybrid Flex Work Model. Most roles require at least 50% in-person time each quarter in a Workday office or with customers, prospects, or partners, with specific expectations varying by role, team, country, and business needs.<br>
</p><br>
<p>Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.<br>
</p><br>
<p>Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
</p><p>Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.<br>
</p><br>
<p>Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.<br>
</p><br>
<p>If you require a reasonable accommodation, you should open a People Guide Request (current employees only), or you may email accommodations@workday.com, as far in advance as possible.<br>
</p><br>
<br>
<p><b>Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
</b></p><p>At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.<br>
</p><p></p><p>Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.<br>
</p><p></p><p>In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</p></div>

Sr Cloud Engineer

WilmerHale

<div><div><p>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.</p>
<p><b>
About the Role</b></p>
<p>
Responsible for the design, implementation, and maintenance of Microsoft Fabric artifacts including Lake House, Warehouse, Semantical Models, Pipelines, Notebooks, Reports, etc. Serve as an advisor to PowerBI report developers, providing guidance on dimensional modeling and tabular design best practices.</p>
<p><b>
What You Will Be Doing</b></p>
<ul>
<li>Responsible for ensuring alignment between the data analytics platforms (Data warehouse) environment and business requirements</li>
<li>Extends existing and creates new MS Fabric data solutions using the full breath of components available withing that platform. Using DAX scripting languages, tables, relationships, and roles in Semantic Models and the full depth of Lake House and Warehouse components currently hosted inside MS Fabric</li>
<li>Collaborate with a team of BI Engineers to identify and implement a path forward in leveraging AI assisted BI development in MS Frabric</li>
<li>Creates and delivers end-user training and documentation and provides second-line support to power users who develop reports on behalf of their departmental colleagues</li>
<li>Lead application deployments, upgrades, and patch planning</li>
<li>Participate and contribute to daily scrum meetings</li>
<li>Maintains awareness of technology developments and makes recommendations to the Manager, Data Analytics Services</li>
<li>Participate in software licensing and support agreement discussions</li>
<li>Assists with resolution of escalated incidents and participates in problem management activities. Assumes ownership of level 3 support and troubleshooting of assigned data solutions</li>
<li>Assists in evaluating the business relevance and requirements of projects under consideration</li>
<li>Maintain existing data solutions, design and build from the ground up new data solutions including data warehousing dimensional models</li>
<li>Mentor junior developers</li>
<li>Assumes additional responsibilities as assigned</li>
<li>Demonstrates a strong commitment to professionalism, delivering high-quality service, and maintaining a positive, solution-oriented (&ldquo;can-do&rdquo;) approach. Effectively supports internal departments, external clients, and vendors through clear, courteous communication via electronic correspondence, telephone, and in-person interactions.</li>
</ul></div><div>Required Skills
</div>
<div><p><b>What You Will Bring to This Position</b></p>
<ul>
<li>Hands-on experience with <b>Microsoft Fabric</b> (Lakehouse, Warehouse, Data Factory, Real-Time Intelligence)</li>
<li>Intermediate knowledge in developing Azure Data Factory pipelines to copy data from and to various sources and targets such as MSSQL, SharePoint and Excel is desirable .Experience in design, build, and management of scalable ETL/ELT data pipelinesExperience with <b>SQL</b> (T-SQL preferred) and basic <b>Python or PySpark</b> for notebook-based transformations</li>
<li>Experience with Devops version control and CI/CD for BI assets</li>
<li>Ability to configure and manage CI/CD (Continuous Integration/Continuous Delivery) in Microsoft Dev Ops, supporting Azure Data Factory and Microsoft SQL Stack (SSIS, SSAS, SSRS) is preferred</li>
<li>Working knowledge in performing data processing using Azure Data Factory, Azure Keyvault, Azure Logic Apps, Azure Storage Accounts is desirable</li>
<li>Excellent analytical skills, including the ability to perform advanced research that involves interpretation and analysis of data from a variety of sources</li>
<li>Translation of business questions and requirements into reports, views, and SQL queries</li>
<li>Expert knowledge of data warehouse architecture, data design patterns and data transformation best practices in environments of medium to large volume of data</li>
<li>Advanced hands-on experience with T-SQL, data warehouse concepts including dimensional modeling</li>
<li>Proficiency in <b>Power BI </b>&mdash; report development, semantic modeling, and deployment pipelines</li>
<li>Strong problem-solving and tenacity in creating solutions for complex and performant data challenges while handling hundreds of millions of records</li>
<li>Intermediate to advance knowledge of DAX Scripting Language</li>
<li>Knowledge in at least one scripting language for predictive analytics and data visualization. (R or Python) is a plus</li>
<li>Hands on expertise with implementation of MS Fabric Semantic Model orMS Analyses Services Cube using the Tabular model in a medium to large enterprise is required</li>
<li>Manages and maintains Power BI/Fabric gateways, including installation, configuration, user access, and troubleshooting data source connectivity issues</li>
<li>Demonstrates intellectual curiosity, and a self-directed approach to problem-solving. Takes initiative researching, experimenting, and troubleshooting before escalating blockers</li>
<li>Good knowledge of server hardware, server storage and other infrastructure, client/server applications, and server utilities</li>
<li>Expert knowledge of SQL Server 2016/2019/2022 and strong T-SQL skills is required</li>
<li>Strong discipline in following SQL coding styles which improves code readability and supportability</li>
<li>Experience supporting a 24x7 production environment</li>
<li>Ability to work effectively with both users and technical staff in team-oriented environments</li>
<li>Excellent oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel</li>
<li>Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures</li>
<li>Working knowledge of Information Technology Infrastructure Library (ITIL), Microsoft Operations Framework, ISO 9000 or similar process discipline is preferred</li>
<li>Remains open to technological change as generative AI becomes more integrated into the firm&rsquo;s practice, actively develop comfort with new tools, and adapt how work is performed to support efficiency and innovation</li>
</ul></div><div>Required Experience
</div><div><ul><li>3-6 years&rsquo; experience in data analysis and data warehousing, with significant specialization in one or more areas of the above-mentioned areas of technology required</li>
<li>1+ year of direct hands-on experience with at least two Microsoft Fabric item types: Lakehouse, Warehouse, Pipelines, or Semantic Models required</li>
<li>2 years of DAX scripting experience required</li>
<li>Experience with legal financial data models is a plus</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>Bachelor&rsquo;s degree in computer science or related field; or equivalent work experience</li>
</ul>
<p><b>Why Join Us?</b></p>
<ul>
<li>A values‑driven firm that fosters collaboration and respect</li>
<li>The hiring range for this position is $150,000 - $185,300 annually, with final compensation based on experience, qualifications and internal equity.
</li><li>This position is eligible for a Hybrid Schedule</li>
<li>Medical, dental, and vision insurance
</li><li>401(k) with company match and profit-sharing options</li>
<li>Paid time off and holidays</li>
<li>For additional information about our benefits, please click here</li>
</ul>
<p><b>Our Commitment</b></p>
<p>
Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
</p><p>For more information about Equal Employment Opportunity, please click here.</p>
<p>
#L1-KB1</p>
<p>
#L1-Hybrid</p>
<p>
This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.</p>
</div>
<div>Job Location
</div><div>Boston, Massachusetts, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>150,000.00 - 185,300.00 USD</div></div>

Senior Business Intelligence Engineer

West Monroe

<div><div><p><b>Are you ready to make an impact?</b></p></div><p></p><div>
<h3 class="jobSectionHeader"><b>
Applied AI Engineer/Architect</b></h3>
<p>
West Monroe is seeking an <b>Applied AI Engineer/Architect</b> to lead the design and delivery of enterprise AI solutions that solve complex business challenges. This role serves as the technical AI leader across client engagements and West Monroe assets, defining AI architectures, guiding implementation teams, and helping clients make informed decisions about when to leverage large language models (LLMs), deterministic automation, platform-native AI capabilities, or traditional software engineering approaches. As a Senior Architect, you will provide deep technical expertise, contribute to business development efforts, and help advance West Monroe's AI capabilities through reusable assets, thought leadership, and mentorship.</p>
<h2 class="jobSectionHeader"><b>
What You Will Do</b></h2>
<h3 class="jobSectionHeader"><b>Client Delivery</b></h3>
<ul><li>Lead the architecture and delivery of enterprise AI solutions, including model selection, retrieval strategies, workflow orchestration, evaluation frameworks, observability, guardrails, and human oversight.</li>
<li>Design and implement AI-enabled applications using LLMs, agents, retrieval augmented generation (RAG), tool integrations, and secure production deployment patterns.</li>
<li>Define semantic models, ontologies, business objects, metadata strategies, permissions, and data contracts that enable reliable AI reasoning and enterprise workflows.</li>
<li>Advise clients on AI strategy, technical feasibility, data readiness, model selection, governance, responsible AI practices, and implementation roadmaps.</li>
<li>Partner with application, data, and cloud engineering teams to integrate AI capabilities into production systems, APIs, data platforms, security architectures, and operational workflows.</li>
<li>Establish AI evaluation methodologies using benchmark datasets, regression testing, red-team scenarios, quality metrics, and release criteria to ensure reliable and measurable outcomes.</li>
<li>Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.</li>
<li>Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.</li>
</ul><h3 class="jobSectionHeader"><b>Business Development</b></h3>
<ul><li>Serve as a trusted technical advisor during pursuits, helping shape AI strategy, solution architecture, and delivery approaches for complex client opportunities.</li>
<li>Support proposals, client presentations, and executive discussions by articulating AI capabilities, tradeoffs, risks, and business value.</li>
<li>Build credibility in the marketplace through deep expertise in enterprise AI architecture and emerging technologies.</li>
</ul><h3 class="jobSectionHeader"><b>Practice Development</b></h3>
<ul><li>Develop reusable AI frameworks, accelerators, evaluation methodologies, and reference architectures that strengthen West Monroe's AI offerings.</li>
<li>Mentor engineers and architects while sharing technical expertise across project teams.</li>
<li>Stay current on frontier AI models, enterprise agent architectures, hyperscaler AI platforms, governance expectations, and secure deployment practices.</li>
<li>Contribute to thought leadership, internal capability building, and innovation initiatives that expand West Monroe's Applied AI practice.</li>
</ul><h2 class="jobSectionHeader"><b>What You Will Bring</b></h2>
<ul><li>7+ years of experience in software engineering, data engineering, machine learning, applied AI, or technical architecture, including recent hands-on AI engineering experience.</li>
<li>Proven experience building production AI solutions using LLMs, AI agents, RAG, prompt engineering, AI evaluation frameworks, observability, MLOps, or machine learning platforms.</li>
<li>Strong Python development skills and proficiency in at least one additional enterprise technology stack such as TypeScript, Java, C#, or modern data engineering frameworks.</li>
<li>Experience with one or more leading AI ecosystems, including Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Microsoft Fabric, or comparable platforms.</li>
<li>Strong understanding of cloud architecture, APIs, identity and access management, security, data engineering, application integration, and production deployment practices.</li>
<li>Knowledge of semantic modeling, ontology design, knowledge representation, data governance, and enterprise AI architecture.</li>
<li>Ability to communicate AI concepts, technical tradeoffs, and implementation risks effectively to executive stakeholders, business leaders, architects, and engineering teams.</li>
<li>Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.</li>
<li>Ability to travel 25 to 50%.</li>
<li>A commitment to inclusion and diversity, and openness to new ideas and perspectives.</li>
<li>Ability to work permanently in the United States without sponsorship.</li></ul><br>
<p></p>
<p>
</p></div><div><div><div><div><p>Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below).<br>
<br>
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company&rsquo;s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.</p></div></div><p>
Seattle or Washington, D.C.</p><p>
$236,300 - $277,700 USD</p></div><div><p>
Los Angeles</p><p>
$247,500 - $291,000 USD</p></div><div><p>
New York City or San Francisco</p><p>
$258,800 - $304,200 USD</p></div><div><p>
A location not listed above</p><p>
$225,000 - $264,500 USD</p></div></div><p></p><div><br>
<h3 class="jobSectionHeader"><b>
Other consultancies talk at you.</b><br>
<b>At West Monroe, we work with you.</b></h3>
<p>
We&rsquo;re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.</p>
<p>
The combination of business and technology is not new, but how we bring them together is unique. We&rsquo;re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.</p>
<p>
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what&rsquo;s next.</p>
<p>
You&rsquo;ll feel the difference in how we work. We show up personally. We&rsquo;re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn&rsquo;t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.</p><br>
<p></p>
<p><b>
West Monroe</b><b> </b><b>is an Equal Employment Opportunity Employer</b><br>
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.</p>
<p>
Please review our current policy regarding use of generative artificial intelligence during the application process.</p>
<p>
If you are based in California, we encourage you to read West Monroe&rsquo;s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.</p></div></div>

Applied AI Engineer/Architect

Foley

<div><p>We are looking for a Staff Data Engineer to design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of reliable data pipelines, shape our enterprise data architecture, and establish high standards for how data is modeled, governed, and accessed across the organization.</p><p>
This is a highly strategic and hands-on technical leadership role. You will be the most senior data engineering voice on the team, partnering closely with Engineering, Product, Analytics, and business stakeholders to ensure our data systems are scalable, trusted, and built for long-term impact.</p><p>
The ideal candidate combines strong data architecture depth with practical execution. They should be able to operate independently, navigate ambiguity, and make sound technical tradeoffs in a fast-moving environment.</p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><h3 class="jobSectionHeader"><b>
Data Architecture and Strategy</b></h3><ul><li><p>
Lead the design and evolution of Foley&rsquo;s enterprise data architecture</p></li><li><p>
Contribute to the ongoing development of our Enterprise Data Model</p></li><li><p>
Define standards and best practices for data modeling, storage, access, and reliability</p></li><li><p>
Drive architectural decisions that balance scalability, maintainability, and performance</p></li></ul><h3 class="jobSectionHeader"><b>
Pipeline Development and Execution</b></h3><ul><li><p>
Design, build, and maintain scalable data pipelines across internal systems, vendor platforms, and the data warehouse</p></li><li><p>
Improve data quality, observability, and reliability across core workflows</p></li><li><p>
Optimize data workflows for efficiency and long-term operational health</p></li><li><p>
Support both batch and event-driven or CDC-based pipeline patterns</p></li></ul><h3 class="jobSectionHeader"><b>
Data Modeling and Governance</b></h3><ul><li><p>
Own schema design and warehouse modeling strategy, including dimensional and normalized approaches where appropriate</p></li><li><p>
Help define and implement data governance best practices, including RBAC</p></li><li><p>
Ensure shared definitions, documentation, and trust in core business data</p></li></ul><h3 class="jobSectionHeader"><b>
Cross-Functional Technical Leadership</b></h3><ul><li><p>
Serve as a thought partner to Engineering, Product, Analytics, and business teams</p></li><li><p>
Translate technical complexity into clear recommendations and tradeoffs</p></li><li><p>
Raise the bar for data engineering practices across the organization</p></li><li><p>
Help the company make better decisions through strong, accessible data foundations</p></li></ul><h3 class="jobSectionHeader"><b>
Innovation and Continuous Improvement</b></h3><ul><li><p>
Identify opportunities to improve workflows through automation, tooling, and thoughtful use of AI</p></li><li><p>
Experiment pragmatically with new technologies and scale what works</p></li><li><p>
Build systems and guardrails that enable teams to move faster without sacrificing quality</p></li></ul><h1 class="jobSectionHeader"><b>
Who You Are</b></h1><ul><li><p>
Strong experience building and maintaining production ETL/ELT pipelines</p></li><li><p>
Experience working across both batch and streaming / CDC / event-driven data environments</p></li><li><p>
Proven ability to design scalable warehouse schemas and data models in a layered architecture</p></li><li><p>
Deep knowledge of database architecture and distributed data systems</p></li><li><p>
Experience with cross-system entity resolution and complex data modeling</p></li><li><p>
Experience implementing data governance standards, including RBAC</p></li><li><p>
Strong software engineering fundamentals, including reliability, backend systems, and data processing</p></li><li><p>
Ability to operate at a Staff level, setting direction and influencing across teams</p></li><li><p>
Strong experience with Python, SQL, and AWS data tooling including Redshift, Glue, Lambda, S3 and Data Orchestration (e.g. Airflow).</p></li></ul><h2 class="jobSectionHeader"><b>
Nice-to-Haves</b></h2><ul><li><p>
Experience supporting ML or LLM-related pipelines in production</p></li><li><p>
Familiarity with multi-step agent orchestration frameworks such as LangGraph</p></li><li><p>
Experience partnering with Data Science teams to operationalize data products</p></li><li><p>
Experience helping organizations introduce AI-enabled workflows in a thoughtful, production-oriented way</p></li></ul><h1 class="jobSectionHeader"><b>
You Might Thrive in This Role If You</b></h1><ul><li><p>
Think in systems and tradeoffs, not just tools</p></li><li><p>
Enjoy solving ambiguous data problems and turning them into scalable solutions</p></li><li><p>
Can communicate clearly with both technical and non-technical stakeholders</p></li><li><p>
Take ownership and raise the bar for those around you</p></li><li><p>
Are curious about using AI and automation to improve how work gets done, while maintaining strong technical standards</p></li></ul><p><b>
Location: </b>This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel for team collaboration and company events.</p><h1 class="jobSectionHeader"><b>
About us</b></h1><p>
At Foley, we&rsquo;re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We&rsquo;ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer.</p><p>
As we continue to grow, we&rsquo;re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that&rsquo;s passionate about building great products and supporting customers. Our core values &mdash; <b>Teammateship, Grit, and Innovation</b> &mdash; guide everything we do. Whether we&rsquo;re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success.
</p><p><b>Benefits</b><br>
Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program.</p><p><b>
Equal Employment Opportunity</b>
<br>
Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.</p><p><b>
Reasonable Accommodations</b>
<br>
If you require a reasonable accommodation during the application or interview process, please contact us at <b>careers@foley.io</b></p><p><b>
Employment Status</b>
<br>
Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment.</p><p><b>
Massachusetts Applicants:</b> It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p><p><b>
Privacy Policy:</b> Please see our Applicant Privacy Policy for more information on how Foley processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.</p><p>
Compensation Range: $180K - $210K</p></div>

Staff Data Engineer

<div></div><div><p><b>Job Description Overview:</b></p><p>
The ASUS Robotics &amp; AI Center is seeking a Platform Security Engineer to join our global research and development team. This role contributes to the security posture of our cloud-based platform, spanning application hardening, infrastructure security, and the day-to-day practices that keep our systems secure as they scale.</p><p>
We are looking for an engineer with hands-on experience in application and cloud security, a proactive mindset for identifying and mitigating risk, and the ability to collaborate effectively across a multidisciplinary engineering team. The ideal candidate is a strong individual contributor who is eager to deepen their expertise in security architecture while working alongside experienced engineers across our Boston and Taipei offices.</p><p><b>
Essential Duties and Responsibilities:</b><b>
</b></p><ul><li>Contribute to application and infrastructure security across the platform, supporting production launch and long-term scaling.</li><li>
Help harden authentication (OAuth/session handling) and API authorization patterns, including multi-tenant access control.</li><li>
Configure and maintain IAM policies, service accounts, and least-privilege access controls across cloud infrastructure.</li><li>
Secure data flows including file uploads, signed URLs, database access, and secrets management.</li><li>
Set up and maintain security monitoring, logging, and alerting systems.</li><li>
Build and maintain security tooling integrated into CI/CD pipelines, including SAST, DAST, and dependency scanning.</li><li>
Perform regular security assessments, dependency audits, and penetration testing.</li><li>
Support incident response and contribute to root cause analysis.</li><li>
Collaborate with the engineering team on secure development practices and help document security controls and incident response procedures.</li></ul><div><b><br>
Knowledge and Skills:</b>
</div><ul><li>Familiarity with cloud security on GCP or equivalent platforms, including IAM, VPC, IAP, Secret Manager, and Cloud Armor.</li><li>
Solid understanding of OAuth, session security, and multi-tenant authorization patterns.</li><li>
Experience with security scanning tools (SAST, DAST, dependency scanning) and integrating them into CI/CD workflows.</li><li>
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
</li><li>Excellent written and verbal communication skills in English</li></ul><div></div><p><b><br>
Required Qualification</b><b>s</b><b>:
</b></p><p><b>Years of Education
</b></p><ul><li>Bachelor's degree or higher in computer science, information security, or a related field.</li></ul><p><b><br>
Work Experience</b></p><ul><li>
8+ years of experience in application or infrastructure security roles.</li>
Hands-on experience securing production web applications, preferably in Node.js/Next.js environments.<br>
<li>
</li></ul><div><br>
<b>Preferred Qualifications:</b></div><br>
<div></div><ul><li>
Experience with Terraform security hardening is a plus.</li><li>
Strong verbal and written communication skills, including the ability to document security controls clearly.</li><li>
Penetration testing experience is a plus.</li><li>
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.</li></ul><div><b><br>
Working Conditions</b><b>:</b>
</div><ul><li>Typically working in an office environment</li><li>
This is an IN-OFFICE position in Boston, MA</li><li>
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time</li><li>
Travel requirements 10%<i> travel</i><i>, domestic/international</i></li></ul><div></div><div><i><br>
$164,000 - $237,000</i><i> annually is the estimated pay range for this role working in </i><i>Boston</i><i>, </i><i>Massachusetts</i><i> office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our </i><i>comprehensive employee</i><i> benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k).</i><br>
<br>
<i>ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.</i></div><div></div><div><b><br>
About the ASUS Robotics &amp; AI Center</b></div><div>
The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.</div><div></div><div><b><br>
More About ASUS</b></div><div>
ASUS is a global technology leader that provides the world&rsquo;s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&amp;D experts, the company is world-renowned for continuously reimagining today&rsquo;s technologies. Consistently ranked as one of Fortune&rsquo;s World&rsquo;s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.</div></div><div></div>

Senior Platform Security Engineer

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