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senior lead software engineer

ASUS COMPUTER INTERNATIONAL

<div></div><div>Job Description Overview:
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.
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.
Essential Duties and Responsibilities:
<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> 
Knowledge and Skills:</div> 
<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> 
</div>Required Qualifications:
Years of Education
Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field. 
<ul><li>
</li></ul> 
Work Experience<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> 
Working Conditions:
<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% travel, domestic/international</li></ul><div></div><div> 
$164,000 - $237,000 annually is the estimated pay range for this role working in Boston, Massachusetts office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k). 
 
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.</div> 
About the ASUS Robotics &amp; AI Center
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.
 More About ASUS
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>

Senior Computer Vision Engineer

Cisco

The application window is expected to close on: 08/10/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
 
This is remote role based out of the US.
 
The successful applicant may be performing work in FedRAMP High or IL-5 environments, and therefore, must be a U.S. Person (i.e. U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee). This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.
 
MEET THE TEAM
 
At Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and more intuitive with technology that simply works.
 The SRE Engineering Enablement org at Meraki supports our CI Platforms, Developer Environments, tools, automation and processes that facilitate developers’ day to day work for over 2,000 engineers. We support the entire software development lifecycle (SDLC), including core developer tools and environments, build tools, code review, artifact management, CI, education, and documentation. Our customers are all engineers at Meraki.
 
YOUR IMPACT
 
As a Lead Site Reliability Engineer, you will architect, build, and evolve the developer experience for Meraki's Cloud Engineering teams. You will work within a team distributed across the US and UK and collaborate with other teams across SRE and Cloud Engineering. Your decisions will shape the day to day operations of Meraki's cloud, and enable our engineers to easily, safely, and confidently experiment on and build great products!
 
<ul>
<li>Lead the design and evolution of critical infrastructure for building, testing, and deploying our cloud applications.</li>
<li>Take the lead on complex problem resolution and debugging of internal and vendor-supplied tools.</li>
<li>Influence and drive operational excellence within the organization.</li>
<li>Learn and understand the priorities and practices of other engineering teams to design systems that work for them.</li>
<li>Partner with engineering leadership to define roadmaps, reporting on productivity gains and platform health to the SVP level.</li>
<li>Lead complex troubleshooting, perform blameless postmortems, and champion sustainable on-call practices across the organization.</li>
</ul>
MINIMUM QUALIFICATIONS
 
<ul>
<li>Bachelor's degree and 8+ years of relevant experience, or Master's degree and 6+ years of relevant experience or equivalent related work experience</li>
<li>Have a software development background with 5+ years experience coding with languages like Ruby or Python.</li>
<li>Rapid technical adoption experience, evaluating and adopting new technologies with quick turnaround to address critical production gaps or security vulnerabilities.</li>
<li>Experience mentoring and providing technical oversight for a team</li>
<li>Experience with systems at scale, managing and operating distributed systems at a scale of 1,000+ nodes or high-concurrency environments with an owner/operator mindset.</li>
<li>Automation experience in configuration-as-code and infrastructure automation.</li>
<li>Have experience with modern Unix/Linux operating systems/distributions.</li>
</ul>
PREFERRED QUALIFICATIONS
 
<ul>
<li>Experience in a hybrid cloud environment (we deploy to bare metal, container orchestration, and managed cloud services).</li>
<li>Experience building and supporting tools for a quickly growing engineering organization (2,000+ and growing).</li>
<li>Background in containerization.</li>
<li>Familiarity with DORA and SPACE published DevOps measurement metrics.</li>
<li>Believe that development and operations are best carried out in close co-operation; all our teams are developers, and own what they create.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Message to applicants applying to work in the U.S. and/or Canada:
 
The starting salary range posted for this position is $163,600.00 to $234,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
 
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
 
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
 
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
The applicable full salary ranges for this position, by specific state, are listed below:
 
New York City Metro Area: 
$183,800.00 - $303,100.00
 
Non-Metro New York state& Washington state: 
$163,600.00 - $269,800.00
 <ul>
<li>For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.</li>
</ul>
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Lead Site Reliability Engineer, Engineering Enablement (Remote)

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary 
We're looking for a Lead Director of Software Engineering who thinks like a founder, executes like a principal engineer, and leads like someone who's done it at the highest levels of the industry. You will set the bar &mdash; and then raise it.
What You'll Actually Do<ul><li>
Drive technical strategy across a multi-team engineering organization (50&ndash;150+ engineers), setting architectural standards, defining engineering excellence benchmarks, and personally reviewing and elevating the work.</li><li>
Operational Efficiency. Every system design decision you make should start with the question: How to create10x leverage? You will actively embed LLMs, generative AI, agentic workflows, and ML-powered automation into the engineering lifecycle, not just as experiments, but as production-grade differentiators.</li><li>
Own delivery at velocity. You ship. You are accountable for outcomes, not roadmaps. You hold your teams to the same standard.</li><li>
Partner at the executive level &mdash; with Product owners, Data Engineers, and Health care business leaders &mdash; translating business strategy into engineering bets with precision and conviction.</li><li>
Be the technical voice in the room You call out architectural debt, push back on infeasible timelines, and advocate for the right engineering investment.</li></ul>
Required Qualifications<ul><li>
10+ years of progressive software engineering experience, including 5+ years leading large-scale engineering organizations. You have built and scaled systems that serve tens of thousands of users. You know what happens when your system goes down.</li><li>
Deep, hands-on technical foundation in distributed systems, cloud-native architectures, and modern backend engineering at scale.</li><li>
Proven AI platform ownership. You have deployed production AI systems - not POCs, not demos, not limited to prompt engineering. You understand model deployment pipelines, vector databases, RAG architectures, LLM orchestration, inference optimization, and responsible AI principles.</li><li>
Track record of engineering transformation. You have migrated monoliths to microservices, modernized legacy platforms under real business pressure, and lived the consequences of every architectural decision you've made.</li></ul> 
Preferred Qualifications<ul><li>
Healthcare or highly regulated domain experience &mdash; You have navigated HIPAA, CMS compliance, PHI data handling development.</li><li>
Platform engineering ownership &mdash; You have built or led internal developer platforms, engineering productivity tooling.</li></ul>
Education
Minimum<ul><li>
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a closely related technical discipline &mdash; or equivalent demonstrated engineering depth through work history, open source portfolio, or verifiable technical contribution at scale.</li></ul>
Preferred<ul><li>
Master's degree (M.S. or M.Eng.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Graduate-level training in algorithms, distributed systems, statistical learning, or systems design gives us confidence in your technical ceiling.</li></ul>
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 10/02/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Lead Director, Software Engineering

<div></div><div>Job Description Overview:
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.
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.
Essential Duties and Responsibilities:
<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> 
Knowledge and Skills:
</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> 
Required Qualifications:
Years of Education
<ul><li>Bachelor's degree or higher in computer science, information security, or a related field.</li></ul> 
Work Experience<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. 
<li>
</li></ul><div> 
Preferred Qualifications:</div> 
<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> 
Working Conditions:
</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% travel, domestic/international</li></ul><div></div><div> 
$164,000 - $237,000 annually is the estimated pay range for this role working in Boston, Massachusetts office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k). 
 
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.</div><div></div><div> 
About the ASUS Robotics &amp; AI Center</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> 
More About ASUS</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

Plymouth Rock Assurance

<div>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.

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.
You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:
<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.
</li></ul>Required Qualifications:
<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>
Preferred Qualifications:
<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>
Salary Range:
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.
Perks and Benefits:
<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>
About the Company

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;

#LI-SM1</div>

Sr. Artificial Intelligence Engineer

The Home Depot

Position Summary We are seeking an experienced Principal Mechanical Engineer to provide technical leadership in the development of complex electromechanical automation systems. This role will lead the architecture, design, and commercialization of innovative products from concept through production, while partnering across engineering disciplines and business functions to deliver reliable, manufacturable, and cost-effective solutions. The ideal candidate combines deep mechanical engineering expertise with strong systems thinking, exceptional technical judgment, and a proven ability to lead cross-functional product development efforts. As a senior technical leader, you will influence engineering strategy, mentor technical talent, and help establish world-class engineering practices that enable organizational growth and innovation. Key Responsibilities Apply extensive experience to bring complex electromechanical products from concept through commercialization, balancing product performance, reliability, manufacturability, serviceability, and cost objectives. Define product and system requirements while driving alignment across mechanical, electrical, embedded software, controls, manufacturing, quality, supply chain, and field service teams. Lead strategic, cross-functional product development programs from initial concept, technical planning, and architecture through product launch, manufacturing ramp-up, and field deployment. Develop comprehensive product validation strategies, including proof-of-concept prototypes, engineering validation, design verification, system validation, and reliability testing. Provide technical leadership in the design of innovative mechanisms, structural systems, and integrated electromechanical assemblies, applying strong engineering judgment and mechanical intuition to solve complex technical challenges. Drive Design for Manufacturing (DFM), Design for Assembly (DFA), Design for Serviceability (DFS), Design for Reliability (DFR), and cost optimization initiatives to ensure successful transition from development into production and long-term product support. Make and influence critical technical decisions involving system architecture, engineering tradeoffs, technology selection, risk management, and development priorities while ensuring alignment with business strategy and customer needs. Establish and maintain high standards for engineering excellence, product reliability, maintainability, safety, regulatory compliance, and overall design quality throughout the product development lifecycle. Collaborate with suppliers and manufacturing partners to evaluate technologies, resolve technical challenges, improve quality, and optimize production readiness. Mentor and develop mechanical engineers through technical coaching, design reviews, knowledge sharing, recruiting, interviewing, and career development initiatives. Strengthen organizational capability by improving engineering processes, development infrastructure, design documentation, product lifecycle management practices, and operational excellence as the company scales. Serve as a trusted technical advisor to engineering leadership, influencing long-term technology strategy and product roadmaps. Required Qualifications Bachelor's degree in Mechanical Engineering or a related engineering discipline; Master's degree preferred. 10+ years of mechanical engineering experience developing complex electromechanical products, with demonstrated success leading products from concept through commercialization. Deep expertise in mechanical design, machine design, precision mechanisms, structural analysis, materials selection, and manufacturing processes. Proven experience leading cross-functional engineering teams and influencing technical decisions across multiple disciplines. Strong understanding of product development methodologies, stage-gate processes, systems engineering principles, and technical risk management. Extensive experience with Design for Manufacturing (DFM), Design for Assembly (DFA), Design for Serviceability (DFS), Design for Reliability (DFR), tolerance analysis, and cost optimization. Experience developing and executing verification and validation plans, including prototype evaluation, design verification, system validation, and reliability testing. Proficiency with modern 3D CAD platforms (such as SolidWorks, Creo, NX, or Inventor) and engineering analysis tools. Excellent communication skills with the ability to present complex technical concepts to engineering teams, executive leadership, suppliers, and customers. Preferred Qualifications Experience developing automation equipment, robotics, material handling systems, industrial machinery, or other complex electromechanical systems. Knowledge of motion control systems, sensors, pneumatics, servo systems, and controls integration. Experience supporting new product introduction (NPI), manufacturing ramp-up, and supplier development. Familiarity with PLM systems, FMEA, GD&amp;T, DFMEA/PFMEA, statistical analysis, and reliability engineering methodologies. Experience working in fast-paced, high-growth product development organizations.

Robotics Automation Mechanical Engineer

West Monroe

<div><div>Are you ready to make an impact?</div><div>
<h3 class="jobSectionHeader">
Applied AI Engineer/Architect</h3>

West Monroe is seeking an Applied AI Engineer/Architect 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.
<h2 class="jobSectionHeader">
What You Will Do</h2>
<h3 class="jobSectionHeader">Client Delivery</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">Business Development</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">Practice Development</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">What You Will Bring</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> 


</div><div><div><div><div>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). 
 
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.</div></div>
Seattle or Washington, D.C.
$236,300 - $277,700 USD</div><div>
Los Angeles
$247,500 - $291,000 USD</div><div>
New York City or San Francisco
$258,800 - $304,200 USD</div><div>
A location not listed above
$225,000 - $264,500 USD</div></div><div> 
<h3 class="jobSectionHeader">
Other consultancies talk at you. 
At West Monroe, we work with you.</h3>

We&rsquo;re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.

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.

At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what&rsquo;s next.

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. 


West Monroe is an Equal Employment Opportunity Employer 
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.

Please review our current policy regarding use of generative artificial intelligence during the application process.

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.</div></div>

Applied AI Engineer/Architect

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