director - cloud platforms & agent infrastructure

systems engineer

network engineer

project engineer

quality engineer

software engineer i

ai engineer

Realign

<div>Boston, Massachusetts 02108 Posted March 2nd, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role - Agentic AI Engineer</div><div>
Location - Boston, MA (ONSITE)</div><div>
Experience &ndash; 5+</div><div>
Type - Full Time</div><div> 
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul>
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Proficiency in Python and modern AI/ML frameworks, AWS
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</ul><div></div><div> 
Roles &amp; Responsibilities</div><ul>
Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</ul><div></div><div> 
Key Responsibilities</div><ul>
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
Instrument agents with CloudWatch metrics, spans, and traces; enable audits
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</ul><div></div><div> 
Required Skills &amp; Experience</div><ul>
Strong problem-solving and strategic thinking abilities
Strong collaboration skills in research-driven environments
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Proficiency in Python and modern AI/ML frameworks
Proficiency in vector databases and embedding models for retrieval tasks
Experience with Data Connectors and API gateways that support seamless communication between systems
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms</ul> 

Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Agentic AI Engineer-6

Dynatrace

<div><h2 class="jobSectionHeader">Your role at Dynatrace</h2>

As a part of a new team focused on accelerating AI adoption and usage, the AI Engineer will design and deploy AI-powered automation, and intelligent agents embedded directly into business operations. This role operationalizes generative AI using governed enterprise data, leveraging enterprise data as the data foundation, and enterprise tools for orchestration and execution.
 
 
The position partners with Data, IT, and business teams to automate workflows, support decision-making, and improve operational efficiency. The focus is on applying AI to real processes &mdash; not research or model training. This role will report up into the VP of AI, Collaboration and Data's team.
 
 
Your role at Dynatrace:
AI &amp; Copilot Development
<ul><li>Build internal AI assistants and copilots for support, operations, and business teams</li><li>
Implement Retrieval Augmented Generation (RAG) using Snowflake data and curated metrics</li><li>
Ground AI responses using modeled enterprise data rather than documents alone</li><li>
Implement prompt strategies, guardrails, and response evaluation techniques</li></ul>
Workflow &amp; Decision Automation
<ul><li>Automate operational processes such as ticket triage, routing, approvals, and document handling</li><li>
Develop AI-driven classification, summarization, and recommendation services</li><li>
Implement human-in-the-loop workflows and exception handling</li><li>
Continuously improve workflows based on business outcomes and user feedback</li></ul>
Production Engineering &amp; Integration
<ul><li>Build and maintain AI-powered backend services, APIs, and microservices</li><li>
Integrate AI capabilities with enterprise systems (ITSM, CRM, ERP, and internal applications)</li><li>
Troubleshoot failures across data pipelines, orchestration, and model inference layers</li><li>
Participate in technical design and architecture discussions</li></ul>
Data Platform Integration
<ul><li>Utilize Snowflake as the trusted data source for AI decisions</li><li>
Use dbt models as the semantic and business logic context for automation</li><li>
Enable real-time and batch data-driven decision support</li><li>
Ensure AI actions align with defined business metrics and data definitions</li></ul>
Cloud Orchestration &amp; Observability
<ul><li>Implement serverless workflows using AWS (Lambda, Step Functions, API Gateway, S3, EventBridge)</li><li>
Monitor system performance, latency, and operational reliability</li><li>
Track AI usage, accuracy, and cost efficiency</li><li>
Implement logging, auditing, and traceability of AI decisions
</li></ul>This is a remote eligible position. Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; Denver, CO; and Mountain View, CA will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position.
<h2 class="jobSectionHeader">What will help you succeed</h2>

Minimum Requirements<ul><li>
5+ years of software or ML engineering experience, with 2+ years of building LLM systems in production.
</li></ul>Preferred Requirements<ul><li>
Expert-level proficiency in Python, plus TypeScript or Go for full-stack AI applications.</li><li>
Proven ability to communicate complex AI concepts clearly to non-technical stakeholders &mdash; translating engineering trade-offs and model behavior into business terms that inform decisions.</li><li>
Experience implementing production RAG systems using Snowflake Cortex Search, pgvector, hybrid search, and re-ranking strategies.</li><li>
Hands-on experience building MCP (Model Context Protocol) servers and clients.</li><li>
Proven track record implementing AI observability.</li><li>
Experience working with LLM APIs (OpenAI, Anthropic, Azure , Gemini) and cloud platforms (AWS SageMaker, Lambda, S3, Bedrock).</li><li>
Familiarity with CI/CD and MLOps tooling (MLflow, Weights &amp; Biases, Snowflake ML Registry).</li><li>
Demonstrated application of responsible AI practices on live deployments, including bias checks, output validation, and human-in-loop escalation.</li><li>
A track record of proactively evaluating and introducing new AI tools or frameworks that deliver tangible improvement &mdash; not just awareness of trends but applied adoption.</li><li>
Experience managing production incidents and model rollbacks in high-stakes environments.</li><li>
Snowpark or external functions in Snowflake</li><li>
Experience with enterprise SaaS platforms (ServiceNow, Salesforce, or similar)</li><li>
Workflow orchestration tools (Airflow, n8n, or similar)</li><li>
Authentication and access control concepts (OAuth, RBAC, SSO)</li><li>
Exposure to vector search or semantic retrieval technologies
</li></ul><h2 class="jobSectionHeader">Why you will love being a Dynatracer</h2>
<ul><li>A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.</li><li>Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.</li><li>A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
</li><li>An environment that fosters innovation, enables creative collaboration, and allows you to grow.</li><li>A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
</li><li>A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.</li><li>A relocation team that is eager to help you start your journey to a new country, always there to support and by your side.</li><li>Attractive compensation packages and stock purchase options with numerous benefits and advantages.</li></ul><h2 class="jobSectionHeader">
Compensation and Rewards</h2>

DOE, salary $150K - $180K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location.
<h2 class="jobSectionHeader">Equal Employment Opportunity</h2>

All your information will be kept confidential according to EEO guidelines.
We offer competitive compensation, company-sponsored premium benefits, medical, dental, vacation/holidays, company matching 401(k) Plan, etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact careers@dynatrace.com. Dynatrace participates in E-Verify, participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law. To be considered for this position, please upload your resume/CV.</div>

Lead AI Engineer

Vertex Pharmaceuticals

<div>Job Description
We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data &amp; AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data &ldquo;at their fingertips&rdquo;, with the patterns and technology to support AI adoption at scale.
As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex&rsquo;s enterprise platform for data &amp; AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.
Key Duties &amp; Responsibilities:
<ul><li>Platform Management &ndash; Design, support, and continuously enhance Vertex&rsquo;s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.
</li></ul><ul><li>Design and Build &ndash; Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.
</li></ul><ul><li>Reference Implementations &ndash; Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.
</li></ul><ul><li>Delivery Management &ndash; Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.
</li></ul><ul><li>Solution Packaging &ndash; Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.
</li></ul><ul><li>Team Enablement &ndash; Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.
</li></ul><ul><li>Technology Champion &ndash; Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex&rsquo;s technological capabilities to support future growth.
</li></ul><ul><li>Innovation Champion &ndash; Identify and implement process enhancements and opportunities to improve Vertex&rsquo;s data and AI platform, ensuring alignment with best practices and industry standards.
</li></ul><ul><li>Enablement Champion &ndash; Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.
</li></ul>Knowledge and Skills:
<ul><li>Technical Expertise &ndash; Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
</li><li>Workflow Tools &ndash; Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
</li><li>Product and Solution Management &ndash; Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.
</li></ul><ul><li>Project Management &ndash; Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.
</li></ul><ul><li>Team Collaboration &ndash; Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.
</li></ul><ul><li>Mentorship and Support &ndash; Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.
</li></ul><ul><li>Adaptability and Problem-Solving &ndash; Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.
</li></ul><ul><li>Communication Skills &ndash; Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.
</li></ul>Education and Experience:
<ul><li>Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
</li><li>Strong experience working with AI/ML and GenAI products
</li></ul><ul><li>5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
</li><li>Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience
</li></ul>Pay Range:
$188,000 - $282,000
Disclosure Statement:
<div><div><div><div><div><div><div><div>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</div></div></div></div></div></div></div></div>Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</div>

Senior Principal AI Platform Engineer, Data & AI Platform

Commonwealth of Massachusetts

<div></div><div><div>Position Summary
We are seeking a highly motivated Geospatial AI Engineering Intern with a passion for GIS and artificial intelligence, cloud computing, and spatial data-driven development. You will work alongside our MassDOT&rsquo;s Planning division&rsquo;s GIS Data Engineering team to both develop and improve GIS data and build AI/ML applications and data pipelines using AWS services.
This is an excellent opportunity to gain cross-functional real-world experience in the intersection of GIS and ML/AI.
Duties and Responsibilities 
GIS Data Engineering Responsibilities<ul><li>
Assist in the design, maintenance, update, and transformation of GIS Data on enterprise databases.</li><li>
Assist in the publishing of enterprise GIS web services.</li><li>
Participate in GIS team reviews, sprint planning, and daily stand-up meetings with cross-functional teams.</li><li>
Perform GIS related technical support for agency staff.</li><li>
Research emerging GEOAI technology and document how it might be useful to the agency.</li></ul> 
AI &amp; Machine Learning Responsibilities<ul><li>
Develop and fine-tune computer vision models and other AI technology using models like YOLO, or RT-DETR for object detection and/or SAM2 or Mask2Former for image segmentation.</li><li>
Assist in the design and deployment of AI/ML-powered applications and intelligent automation workflows.</li><li>
Participate in code reviews, sprint planning, and daily stand-up meetings with cross-functional teams.</li><li>
Research emerging AI/ML techniques and support experimentation and documentation of findings.</li></ul>
Preferred Qualifications<ul><li>
Familiarity with ESRI suite software (ArcGIS, Enterprise, Experience Builder).</li><li>
Strong intellectual curiosity and capacity for professional growth.</li><li>
Perform with a strong sense of urgency.</li><li>
Attention to detail with the ability to manage multiple priorities.</li><li>
High level of professionalism and focus on quality.</li><li>
Familiarity with Python, SQL etc.</li><li>
Understanding of AWS cloud technologies.</li><li>
Ability to communicate effectively and build consensus with diverse project stakeholders.</li><li>
Exposure to Agile development practices is a plus.</li><li>
Proficient with Microsoft Office with strong Word and Excel skills.</li><li>
Excellent written, verbal, and analytical skills.</li></ul>
About MassDOT
The 4,000+ employees of Massachusetts Department of Transportation (MassDOT) takes great pride in connecting the Commonwealth&rsquo;s residents and communities. MassDOT is responsible for developing, implementing, and coordinating transportation policies and projects for the Commonwealth of Massachusetts and to efficiently plan, design, construct, and maintain a safe statewide transportation system which effectively meets the transportation needs of the Commonwealth. Information about MassDOT&rsquo;s culture and career opportunities can be found at mass.gov/massdot-careers.
MassDOT&rsquo;s divisions include: Highway, Registry of Motor Vehicles, Aeronautics, and Rail &amp; Transit. Headquarters (Planning &amp; Enterprise Services) provides business and administrative support and policy leadership for each of the four (4) divisions.<div> 
</div></div><div>
Qualifications<div></div> 
Minimum Entrance Requirements 
This requisition will remain open until filled; however, first consideration will be given to those applicants that apply within the first 14 days.
Current MassDOT employees should use their internal MassCareers account to apply.
All job applications must be submitted online through MassCareers to be considered.
Please provide a complete, accurate and current resume / application for MassDOT to review in order to determine if your submitted materials meet the minimum entrance requirements for the position.<ul><li>
For questions regarding the job posting, please email the MassDOT Talent Acquisition Team at talentacquisition@dot.state.ma.us.</li><li>
For general questions regarding MassDOT, call the Human Resources Service Center at 857-368-4722.</li><li>
For a disability‐related reasonable accommodation or alternative application method, call ADA Coordinator, Lucy Bayard, at 857-274-1935.</li></ul>
An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.
The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role.<div> 
</div></div><div>
Official Title: Contracted Student Interns</div><div>
Primary Location: United States-Massachusetts-10 Park Plaza</div><div>
Job: Planning</div><div>
Agency: Massachusetts Department of Transportation</div><div>
Schedule: Full-time</div><div>
Shift: Day</div><div>
Job Posting: Mar 3, 2026, 9:56:48 AM</div><div>
Number of Openings: 2</div><div>
Salary: 20.00 - 25.00 Hourly</div><div>
If you have Diversity, Affirmative Action or Equal Employment Opportunity questions or need a Reasonable Accommodation, please contact Diversity Officer / ADA Coordinator: Derrick Mann - 8573688541</div><div>
Bargaining Unit: Non</div><div>
Confidential: No</div><div>
Potentially Eligible for a Hybrid Work Schedule: Yes</div></div>

Geospatial AI Data Engineer Co-op Fall 2026

Wiser Solutions

<div>Company Description 
Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally. 
Job Description 
LOCATION: This position can be based anywhere in Canada, with a preference for someone in the eastern or central time zone who can work with our teams in the US, Europe and India.
ABOUT THE ROLE
Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.
You will be the technical authority for AI at Wiser: defining architectural direction, representing our capabilities to customers and partners, and delivering production systems that drive measurable business outcomes. This role requires someone who operates fluidly between strategic planning and hands-on implementation, who can present to executives and debug production pipelines in the same week.
We're building an AI-native engineering culture at Wiser, one where AI tools and techniques are woven into how we work, not just what we build. We need a Principal AI Engineer who doesn't just deliver AI products but models AI-augmented ways of working and helps the broader engineering organization adopt them. If you believe AI is fundamentally transforming software development and you're already living that transformation daily, we want to talk.
What You Will Do
Strategic Leadership<ul><li>
Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership</li><li>
Represent Wiser's AI capabilities to customers, partners, and advisors&mdash;articulating our approach, roadmap, and differentiation</li><li>
Identify high-impact opportunities where AI can solve customer problems or create competitive advantage</li><li>
Establish technical standards, patterns, and best practices that influence engineering decisions across the organization</li></ul>
Technical Execution<ul><li>
Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models</li><li>
Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results</li><li>
Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques</li><li>
Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability</li></ul>
Cross-Functional Impact<ul><li>
Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs</li><li>
Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer</li><li>
Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture</li><li>
Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling</li><li>
Champion AI-native development practices across Wiser engineering&mdash;demonstrating how AI tools accelerate development, improve code quality, and change what's possible</li><li>
Help build an engineering culture where AI augmentation is the default, not the exception</li></ul> 

Qualifications 
<ul><li>
15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership</li><li>
Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)</li><li>
Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)</li><li>
Strong software engineering fundamentals: you write production-quality code, not just notebooks</li><li>
Track record of organization-wide technical influence&mdash;setting standards, driving architectural decisions, mentoring engineers</li><li>
Experience communicating technical strategy and capabilities to non-technical stakeholders, including customers and executives</li><li>
Demonstrated ability to operate autonomously, identify high-impact problems, and drive initiatives without close direction</li><li>
Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built</li></ul>
Technical Depth Expected:<ul><li>
NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval</li><li>
LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods</li><li>
Data engineering: pipeline design, data quality, feature stores, and working with large-scale datasets</li><li>
MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability</li><li>
Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts</li></ul>
Preferred:<ul><li>
Experience with transformer architectures, fine-tuning, or training custom models</li><li>
Background in retail, e-commerce, or product data domains</li><li>
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases</li><li>
Track record of introducing AI-augmented workflows to teams or organizations</li><li>
Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes</li></ul>
What Success Looks Like
First 90 Days: Deep understanding of Wiser's data assets, current AI capabilities, and customer use cases. Identified 2-3 high-impact technical opportunities. Established credibility with the team through hands-on contribution and technical guidance.
First 6 Months: Delivered at least one significant AI capability to production with measurable customer impact. Documented and socialized architectural standards for AI development. Shaped our AI roadmap based on customer needs and technical opportunity.
Supervisory Responsibility: None 
Additional Information 
Other Duties
This position may require being on call rotation to address critical production application issues outside of normal working hours.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO STATEMENT - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.
Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be USD$155,000 to $170,000, at the time of this posting.
Performance-based discretionary bonuses and variable pay plans are available for some positions.
If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737. &quot;
#LI-Remote</div>

Principal Machine Learning Engineer

Chewy

<div>
 
 Job Description
 
 
 
 
 Our Opportunity:
 
 
 
 Chewy&rsquo;s AI &amp; Data organization is seeking a
 
 Data Engineer II
 
 to design and build reliable, high-performance data pipelines that power analytics, machine learning, and decision-making across the company. EDS provides the unified, well-governed data platform that enables every Chewy team&mdash;from Customer Care to Finance to Marketing&mdash;to operate with speed and confidence.
 
 
 As a Data Engineer II, you&rsquo;ll operate as an
 
 independent owner
 
 &mdash;designing, implementing, and maintaining production-grade data workflows. You&rsquo;ll collaborate across AI, data science, and engineering teams to ensure our data is accurate, timely, and ready for use in analytics and AI. You&rsquo;ll balance problem solving, optimization, and innovation as you scale our Snowflake and dbt Cloud environments, while exploring how emerging AI tools can accelerate data engineering.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain batch and streaming pipelines across Snowflake, AWS, and Kafka.
 </li>
 <li>
 Develop dbt Cloud models to standardize business metrics, enforce testing, and improve lineage visibility.
 </li>
 <li>
 Integrate data from multiple sources&mdash;including Kafka, APIs, S3, and internal systems&mdash;into unified datasets.
 </li>
 <li>
 Implement monitoring and alerting for data freshness, quality, and reliability.
 </li>
 <li>
 Collaborate with analysts, data scientists, and product partners to translate business requirements into scalable data solutions.
 </li>
 <li>
 Optimize pipelines for performance, scalability, and cost efficiency.
 </li>
 <li>
 Write clean, test-covered code and unit tests; apply secure coding principles.
 </li>
 <li>
 Ensure correct application of data validation and cleansing processes to all sources.
 </li>
 <li>
 Participate in design reviews, code reviews, and documentation to drive best practices.
 </li>
 <li>
 Contribute to AI-driven modernization initiatives, such as LLM-assisted data quality checks and automation frameworks.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data engineering or a related role.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Hands-on experience with Snowflake and dbt Cloud for modeling and orchestration.
 </li>
 <li>
 Familiarity with Kafka or other streaming systems.
 </li>
 <li>
 Hands-on Terraform proficiency to build and modify AWS/Snowflake data infrastructure&mdash;author simple modules, manage remote state/workspaces, and ship changes via CI/CD with rollback.
 </li>
 <li>
 Understanding of ETL/ELT patterns, data modeling, and workflow orchestration.
 </li>
 <li>
 Awareness of data governance, observability, and testing best practices.
 </li>
 <li>
 Curiosity about AI-assisted engineering and a mindset of continuous experimentation.
 </li>
 <li>
 Clear, proactive communication and strong cross-functional collaboration skills.
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 Understanding of Agile methodology, GitHub and CI/CD pipelines
 
 
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 Why You&rsquo;ll Love This Role
 
 
 
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 Own the design and delivery of data systems that directly enable AI and analytics at Chewy scale.
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 Collaborate with engineers and scientists on data products that improve operational excellence and customer experience.
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 Work with modern tools and cutting-edge AI capabilities in a fast-moving environment.
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 Grow into technical leadership by taking ownership of impactful, cross-functional pipelines.
 
 
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 </ul>
 The base salary range for this role is $100,000 - $176,000.
 
 
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 The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
 
 
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 </ul>
 We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
 
 
 Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
 
 
 Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
 
 
 To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
</div>

Data Engineer II

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. 
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled LLM Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. 
 
Company: Bright Vision Technologies ( www.bvteck.com ) 
Job Title: LLM Platform Engineer 
Onsite/Hybrid: Remote 
FULL-TIME ROLE WITH BRIGHT VISION 
 
Job Description: 
Environment: 
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies 
 
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. 
 
For every role, a coding test is required, so apply only if you are confident and technically strong. 
We prefer at least 3 to 5 years real time experience. 
 
If you are an LLM Platform Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to harry@bvteck.com. 
 
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. 
Position offered by &ldquo;No Fee agency.&rdquo; 
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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LLM Platform Engineer

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