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agentic ai engineer 7

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<div>Boston, Massachusetts 02108 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role - Agentic AI Engineer</b></div><div><b>
Location - Boston, MA (ONSITE)</b></div><div><b>
Experience &ndash; 5+</b></div><div><b>
Type - Full Time</b></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><ul><p>
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI</p><p>
Proficiency in Python and modern AI/ML frameworks, AWS</p><p>
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime</p><p>
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</p></ul><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><ul><p>
Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</p></ul><div></div><div><b><br>
Key Responsibilities</b></div><ul><p>
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment</p><p>
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime</p><p>
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs</p><p>
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda</p><p>
Instrument agents with CloudWatch metrics, spans, and traces; enable audits</p><p>
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions</p><p>
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</p></ul><div></div><div><b><br>
Required Skills &amp; Experience</b></div><ul><p>
Strong problem-solving and strategic thinking abilities</p><p>
Strong collaboration skills in research-driven environments</p><p>
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime</p><p>
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</p><p>
Proficiency in Python and modern AI/ML frameworks</p><p>
Proficiency in vector databases and embedding models for retrieval tasks</p><p>
Experience with Data Connectors and API gateways that support seamless communication between systems</p><p>
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets</p><p>
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation</p><p>
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI</p><p>
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</p></ul><br>
<p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Agentic AI Engineer-7

Bain & Company

<div><p><b>What Makes Us A Great Place To Work</b></p><p>
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.</p><p></p><p><b><br>
About Bain AI, Insights &amp; Solutions (AIS)</b></p><p>
Bain&rsquo;s AI, Insights &amp; Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You&rsquo;ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.</p><p></p><p><b><br>
The Impact You&rsquo;ll Have</b></p><p>
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.</p><p></p><p><br>
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.</p><p></p><p><b><br>
The Role</b></p><p>
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely.</p><p></p><p><br>
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.</p><p></p><p><br>
You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.</p><p></p><p><br>
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><p><b>
Build AI applications that drive real business outcomes</b></p><ul><li>
Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li><li>
Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li><li>
Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li></ul><p><b>
Build and apply data science and machine learning capabilities</b></p><ul><li>
Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li><li>
Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li><li>
Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li></ul><p><b>
Engineer for real delivery: POC MVP production</b></p>
Write clean, testable, maintainable code and ship AI services through the full SDLC: build test deploy monitor<ul><li> iterate.</li><li>
Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li><li>
Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li><li>
Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li><li>
Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li></ul><p><b>
Thrive in a consulting environment</b></p><ul><li>
Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li><li>
Support client discussions, demos, and documentation development as part of broader engagement teams.</li></ul><p><b>
What We&rsquo;re Looking For (Qualifications)</b></p><p><b>
Educational background</b></p><ul><li>
Currently pursuing or recently completed a bachelor&rsquo;s, master&rsquo;s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li><li>
Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li></ul><p><b>
Core engineering + AI application skills</b></p><ul><li>
0&ndash;2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li><li>
Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li><li>
Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li><li>
Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li><li>
Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li><li>
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li></ul><p></p><p><b><br>
Breadth of knowledge across data science and machine learning</b></p><ul><li>
Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li><li>
Practical experience with feature engineering and data preprocessing.</li><li>
Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li></ul><p><b>
Delivery mindset and consulting skills</b></p><ul><li>
Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li><li>
Interest in applying AI to solve real-world business problems in a client-facing environment.</li></ul><p></p><p><b><br>
Working Model &amp; Travel</b></p><ul><li>
This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li><li>
Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li></ul><p><b>
U.S. Compensation Information</b></p><p>
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.</p><p>
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
</p><ul><li>Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</li><li>
Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li></ul><p></p><p><i><br>
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.</i></p></div>

ML-AI Engineering Intern

Rapid7

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer &ndash; AI Centre of Excellence</b></h1><p></p><p>
We are expanding our global AI footprint and are looking for a passionate Principal AI Engineer to join Rapid7&rsquo;s AI Centre of Excellence. You should be ready to provide technical guidance and mentoring to the team while understanding the trade-offs between technical, UX, and product needs. You should excel in interacting and negotiating with key stakeholders, leading to solutions that take all of these needs into account.</p><p></p><h2 class="jobSectionHeader"><b>
About the Team</b></h2><p>
The AI Centre of Excellence designs, prototypes, and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers&rsquo; attack surfaces. For example, we partner closely with Rapid7&rsquo;s Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection.</p><p>
We operate with a creative, iterative approach, building on over 20 years of threat analysis and a growing patent portfolio. The environment is collaborative, focused on knowledge sharing and continuous learning. If you&rsquo;re passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
The Principal AI Engineer is part of our AI Centre of Excellence team at the forefront of designing and delivering customer-focused AI systems. In this role, you will design and implement AI models and systems using the most appropriate techniques&mdash;conventional machine learning, deep learning neural networks, or generative and agentic AI.</p><p>
You will be working on a high-impact, cross-functional team, ensuring our AI solutions are scalable, secure, and deliver real customer value. Speed to market is key: you&rsquo;ll operate in an agile, iterative way, making fast, informed decisions about what to build, what to pause, and where to innovate further.</p><p>
You will have the opportunity to further enhance your skills surrounded by an incredibly talented group of engineers and data scientists, while mentoring others and driving forward Rapid7&rsquo;s AI innovation.</p><p></p><h2 class="jobSectionHeader"><b>
In This Role, You Will:</b></h2><ul>
<li><p>
Develop and ship AI systems with a focus on delivering customer value.</p></li>
<li><p>
Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives.</p></li>
<li><p>
Take ownership of multiple projects as the principal go-to expert.</p></li>
<li><p>
Act as a first-class stakeholder throughout the AI R&amp;D process.</p></li>
<li><p>
Build strong cross-functional relationships with engineering, UX, product management, and customer research teams.</p></li>
<li><p>
Mentor colleagues with less experience, acting as a trusted technical resource.</p></li>
</ul><p></p><h2 class="jobSectionHeader"><b>
The Skills You&rsquo;ll Bring Include:</b></h2><p><b>
Technical Expertise</b></p><ul>
<li><p>
Significant hands-on experience in applied AI, able to independently design and build AI models and systems.</p></li>
<li>
<p>Strong Python skills and practical expertise with:</p>
<ul>
<li><p>scikit-learn for conventional ML and data science.</p></li>
<li><p>
PyTorch, TensorFlow, or Keras for deep learning.</p></li>
<li><p>
AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions.</p></li>
<li><p>
CrewAI (or similar frameworks) for agentic AI projects.</p></li>
<li><p>
Pandas/NumPy for data processing and transformation.</p></li>
</ul>
</li><li><p>Intuition for selecting the right models and approaches for different use cases.</p></li>
<li><p>
Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable.</p></li>
</ul><p></p><p><b>
Personal Attributes</b></p><ul>
<li><p>
Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges.</p></li>
<li><p>
Bias for action and delivery, balancing speed with care.</p></li>
<li><p>
Ability to thrive in a fast-paced environment, juggling multiple projects effectively.</p></li>
<li><p>
Natural leader and collaborator, helping peers grow as problem solvers and communicators.</p></li>
<li><p>
Curiosity and passion for continuous learning and self-development.</p></li>
<li><p>
Open-minded approach, valuing feedback and new ideas from colleagues.</p></li>
<li><p>
Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly.</p></li>
</ul><p></p><p>
#LI-WP1</p><p></p><h2 class="jobSectionHeader"><b>
About Rapid7</b></h2><p>
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what&rsquo;s possible and drive extraordinary impact. We&rsquo;re building a dynamic and collaborative workplace where new ideas are welcome.</p><p></p><p>
Protecting 11,000+ customers against bad actors and threats means we&rsquo;re continuing to push the envelope just like we&rsquo; ve been doing for the past 20 years. If you &rsquo;re ready to solve some of the toughest challenges in cybersecurity, we&rsquo;re ready to help you take command of your career. Join us.</p><p></p><p>
Rapid7, Inc. is committed to fair and equitable compensation practices. A candidate&rsquo;s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. We evaluate compensation decisions on a case-by-case basis, and it is not typical for an individual to be hired at the very top of the salary range.</p><p></p><p>
The salary range for this role in the US is:</p>
$236,500.00 - 320,000.00 USD Annual<p></p><p>
Salary ranges may vary based on geographical location. This range does not include variable/incentive compensation, equity and benefits (where applicable/eligible).</p><p></p><p><i>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.</i></p></div>

Principal AI Engineer

Suffolk Construction

<div>Overview:
<p><b>
About Suffolk</b></p><div><div>
Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.</div></div><div></div><div><div><br>
Suffolk &ndash; America&rsquo;s Contractor &ndash; is a national company with more than $9 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR&rsquo;s list of &ldquo;Top CM-at-Risk Contractors.&rdquo; For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.</div></div><div></div><div><div><br>
At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That&rsquo;s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.</div></div><div></div><div><div><br>
Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here.</div></div><p></p><div><b><br>
Role</b></div><div>
Join Suffolk&rsquo;s AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers and Data Engineers, you&rsquo;ll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You&rsquo;ll focus on building secure, scalable, and high-performance AI agents using modern technologies including AWS Bedrock, and Databricks &mdash; shaping the backbone of Suffolk&rsquo;s &ldquo;Construction Site of the Future.&rdquo;</div><div></div><div><br>
The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You&rsquo;ll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed.</div>
Responsibilities:
<div><b>
AI Product Engineering &amp; Deployment</b></div><ul><li>
Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.</li><li>
Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.</li><li>
Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.</li><li>
Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.</li><li>
Own full lifecycle delivery &mdash; design, development, testing, deployment, monitoring, and maintenance.</li></ul><div><b>
Full-Stack &amp; Backend Development</b></div><ul><li>
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.</li><li>
Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).</li><li>
Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints.</li></ul><div><b>
Data Engineering &amp; Integration</b></div><ul><li>
Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.</li><li>
Ensure efficient data access, caching, and vectorization for low-latency AI response.</li><li>
Build tools to monitor and improve data quality, latency, and observability.</li></ul><div><b>
DevOps &amp; Platform Automation</b></div><ul><li>
Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments.</li><li>
Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning.</li><li>
Enforce security, governance, and access standards in line with enterprise policies.</li></ul><div><b>
Collaboration &amp; Communication</b></div><ul><li>
Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints.</li><li>
Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates.</li></ul><br>
<div></div>
Qualifications:
<ul><li>4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases.</li><li>
Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.</li><li>
Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions</li><li>
Experience training, retraining and performing transfer learning on ML models desirable.</li><li>
Bachelor&rsquo;s in Computer Science, Engineering, Physics, or a related field; Master&rsquo;s preferred.</li><li>
Prior hands-on work in construction or heavy process industries (manufacturing, oil &amp; gas, chemicals) is a significant plus.</li><li>
Excellent collaboration and communication skills &mdash; able to work cross-functionally but not dependent on business-side facilitation.</li><li>
Integration &amp; ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.</li></ul><div>
#SUFFOLKHIRING</div>
Working Conditions:
<div>
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.</div>
EEO Statement:
<div>
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.</div>
Compensation Information:
<div>
The expected salary range for this position (AI Engineer) in Boston, MA is between $133,000 and $186,000 USD. This represents the typical salary range for this position and is just one component of Suffolk&rsquo;s total compensation package. Actual salaries may be based on several factors including, but not limited to, skill set, experience, education and other qualifications. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends.</div></div>

AI Engineer

State Street

<div><div>Role Overview</div><div>
We are hiring a senior, hands-on Data Engineer to play a pivotal role in transforming Global Delivery operations through data-driven automation, generative AI, and agent-based systems. This is not a traditional data engineering role.</div><div>
This role sits at the intersection of data engineering, AI enablement, and business simplification, owning the end-to-end data foundation that powers intelligent workflows used directly in core operational processes. You will act as the data owner and steward for high-impact simplification initiatives, ensuring data quality, control, auditability, and fitness-for-purpose across analytics, automation, and AI decisioning.</div><div>
You will work closely with Product Owners, AI engineers, and platform teams to design and operate production-grade data pipelines and data products that enable scalable, secure, and observable AI-driven workflows across the asset servicing lifecycle.</div><div></div><div>
Key Responsibilities</div><ul><li><div>
Design, build, and operate scalable, resilient data pipelines supporting operational analytics, reporting, and AI-driven automation across cloud and on‑prem environments.</div></li><li><div>
Model, store, and serve large-scale datasets optimized for both analytical workloads and low-latency consumption by AI and agent-based systems.</div></li><li><div>
Integrate data from multiple internal and external sources, including vendor feeds, APIs, files, and enterprise platforms.</div></li><li><div>
Ensure pipelines are observable, reliable, and production-ready with clear ownership and operational rigor.</div></li></ul><ul><li><div>
Act as Data Steward for assigned business services within GD Simplification, accountable for:</div><ul><li><div>
Data quality, consistency, lineage, and lifecycle management</div></li><li><div>
Business definitions, critical data elements (CDEs), and calculation logic</div></li><li><div>
Data dictionaries, business glossaries, and metadata</div></li></ul></li><li><div>
Define and enforce data standards, controls, and documentation aligned with governance and platform requirements.</div></li><li><div>
Translate business control requirements into data-level and AI control mechanisms.</div></li></ul><div>
AI &amp; Agentic Systems Enablement</div><ul><li><div>
Enable AI and intelligent automation by ensuring high-quality, well-governed inputs for training, inference, and decisioning.</div></li><li><div>
Define agent action constraints, data quality gates, and human‑in‑the‑loop triggers before automated actions are executed.</div></li><li><div>
Ensure auditability and traceability through agent decision logs, data lineage, and versioning of rules, prompts, and models.</div></li></ul><div>
Data Quality, Controls &amp; Operations</div><ul><li><div>
Establish data quality rules and exception taxonomies.</div></li><li><div>
Monitor data quality dashboards, triage issues, and coordinate remediation across upstream and downstream teams.</div></li><li><div>
Ensure data quality and control checks are embedded before AI-driven actions occur.</div></li><li><div>
Align data architecture and integrations with broader ecosystem dependencies, cost considerations, and execution plans.</div></li></ul><div>
Collaboration &amp; Influence</div><ul><li><div>
Partner closely with Product Owners to ensure data definitions and metrics align with business intent and measurable outcomes.</div></li><li><div>
Collaborate across engineering, AI, platform, and business teams to identify and prioritize high-value simplification and automation use cases.</div></li><li><div>
Communicate complex technical concepts clearly to non-technical stakeholders and help drive adoption of AI-enabled solutions across GD.</div></li><li><div>
Champion modern data and engineering practices across organizational boundaries.</div></li></ul><div></div><div>
Required Skills &amp; Experience</div><ul><li><div>
5&ndash;10+ years of hands-on experience in data engineering, preferably in platform, infrastructure, or large-scale enterprise environments.</div></li><li><div>
Strong engineering and systems mindset with experience building production-grade data pipelines.</div></li><li><div>
Deep understanding of data lifecycle management, data quality, metadata, and controls in regulated environments.</div></li><li><div>
Experience working closely with business stakeholders in complex operational domains (e.g., fund accounting, middle office, custody, payments, transfer agency).</div></li></ul><ul><li><div>
Strong SQL skills for data validation and analysis.</div></li><li><div>
Working knowledge of Python (or similar) for data processing, automation, or integration.</div></li><li><div>
Solid understanding of: ETL / ELT patterns, APIs and file-based integrations (CSV, XML, vendor feeds), Data warehouses, data lakes, and analytical data models, Workflow orchestration and scheduling tools</div></li><li><div>
Experience with data cataloging, data quality tools, and engineering documentation practices.</div></li></ul><ul><li><div>
Experience supporting AI, ML, or generative AI systems through data engineering and governance.</div></li><li><div>
Familiarity with concepts such as: Agent-based systems; Human-in-the-loop workflows; Model/prompt grounding and decision traceability</div></li><li><div>
Ability to think critically about data risks, controls, and guardrails in AI-driven operational workflows.</div></li></ul><div></div><div>
Education &amp; Mindset</div><ul><li><div>
Degree in Computer Science, Engineering, or equivalent practical experience in the financial services domain.</div></li><li><div>
Passion for being hands-on, owning outcomes end-to-end, and building systems that materially change how work gets done.</div></li><li><div>
Comfortable operating in a small, high-impact team with significant visibility and influence across the organization.</div></li></ul><div></div><div>
Salary Range:</div>
$110,000 - $188,750 Annual<div></div><div>
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.</div><div></div><div><i>
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.</i></div><div><i>
For a full overview, visit </i><div><i>https://hrportal.ehr.com/statestreet/Home</i></div><i>.</i></div><div></div><div>
About State Street</div><div></div><div>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</div><div></div><div>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</div><div></div><div>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</div><div></div><div>
Discover more information on jobs at <div>StateStreet.com/careers</div></div><div></div><div>
Read our <div>CEO Statement</div></div><div></div><div>
Job Application Disclosure:</div><div>
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.</div></div>

Senior Data Engineer – AI & Intelligent Automation, GD Simplification Vice president

CloudZero

<div><h2 class="jobSectionHeader"><b>About the Role:</b></h2><p>
The ML problems that define the future of cloud cost-per-anything CloudZero is the cost-per-anything model for cloud and Al - for humans and the agents spend</p><p>
they deploy. We're inverting cost intelligence: from billing-first to telemetry-first. Every</p><p>
CloudZero is inverting the traditional cost intelligence model. Engineering decision is a buying decision - Instead of starting from the monthly bill, we're building toward</p><p>
and we're building the platform that proves it in a telemetry-first platform &mdash; lightweight collection agents real time.inside customer environments, capturing every Al inference</p><p>
event, cloud resource usage, and product telemetry signal in Telemetry-FirstCost-to-Produce Al Inference Agentic Governance ML-Powered real time. That data is reconciled against billing to produce total cost-to-produce intelligence. Not just COGS. The full picture.</p><p>
Al is making every company look like a multi-tenant SaaS. Every enterprise now has per-model, per-token, per-customer Al inference complexity &mdash; and no one has a</p><p>
real-time answer for how to measure, govern, and optimize it. CloudZero is building that answer: a multi-tier architecture spanning real-time streaming (Kafka, Flink/KStreams), batch billing reconciliation, and an intelligent governance layer for both human engineers and the autonomous agents they deploy. Most of what makes this role extraordinary is what</p><p>
we're building next. This is a founding technical engineer role. You won't be managing a team on day one &mdash; you'll be anchoring one. You'll set the technical patterns, solve the hardest data science problems in the product, and help build the team around you. The vision: CloudZero becomes the cost-per-anything model for cloud and Al &mdash; for humans and</p><p>
the agents they deploy.</p><p></p><p>
6 hard ML problems. They sit at the intersection of financial telemetry, cloud infrastructure, Al inference, and massive scale. Some are live in product today; several are what we're building next.</p><p></p><ul><li><p><b>
Real-time Unit Economics</b>: Calculate per-unit costs across millions of transactions with dynamic efficiency management</p></li><li><p><b>
Predictive Cost Intelligence</b>: Predict and prevent cost efficiency breaches before they impact business</p></li><li><p><b>
Multi-Cloud Attribution</b>: Accurately attribute cloud spend across complex systems using probabilistic modeling</p></li><li><p><b>
Autonomous Optimization</b>: Build AI agents that make safe infrastructure changes within business constraints</p></li></ul><h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2><ul><li><p>
Lead by example: spend 60-70% of your time building, architecting, and solving technical problems</p></li><li><p>
Prototype novel ML/AI research ideas, and help translate them into production-ready systems that handle enterprise scale</p></li><li><p>
Build AI-powered features (in partnership with product/engineering teams) for cost optimization, anomaly detection, and predictive analytics</p></li><li><p>
Establish technical standards and development processes for AI/ML systems</p></li><li><p>
Build and develop a small team of AI/ML specialists</p></li><li><p>
Provide hands-on coaching and technical guidance to team members</p></li><li><p>
Foster a culture of innovation, continuous learning, and customer focus</p></li><li><p>
Lead by example in technical decision-making and problem-solving approach</p></li><li><p>
Partner closely with engineering teams to embed AI throughout the platform</p></li><li><p>
Translate complex AI concepts into business value for executives and customers</p></li><li><p>
Drive AI strategy alignment with company vision and product roadmap</p></li><li><p>
Represent CloudZero's AI capabilities in customer conversations and industry events</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications:</b></h2><ul><li><p>
6+ years in ML engineering and/or data science disciplines, with meaningful time in production systems at scale</p></li><li><p>
Deep time-series fluency &mdash; you've built forecasting and anomaly detection systems that made it to production and earned customer trust</p></li><li><p>
Classical ML foundations &mdash; graphs, clustering, probabilistic modeling, data structures. You reach for the right tool, not the trendiest one</p></li><li><p>
Production ML engineering &mdash; you've owned the full stack: feature engineering, model serving, monitoring, retraining pipelines, feedback loops</p></li><li><p>
Python fluency and data warehouse experience (Snowflake, BigQuery, or equivalent)</p></li><li><p>
Formal background &mdash; in Computer Science, Statistics, Mathematics, or a related quantitative field</p></li><li><p>
GenAI/LLM experience &mdash; you've integrated LLMs, seen their failure modes, and know when to use them vs.traditional ML</p></li><li><p>
Cloud ML infrastructure &mdash; AWS SageMaker, Bedrock, or equivalent. Building systems at enterprise scale in AWS/GCP</p></li><li><p>
FinOps or cost intelligence domain nice to have - understanding of cloud billing, infrastructure cost models, or related financial data</p></li><li><p>
Founding IC experience &mdash; you've been the first or second data scientist and know what it takes to build from scratch</p></li><li><p>
Graph modeling and semantic layers &mdash; knowledge graphs, entity resolution, or semantic modeling in production contexts</p></li><li><p>
Bias toward correctness &mdash; you care whether models are actually right, not just accurate on a validation set</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About CloudZero:</b></h2><p>
Cloud cost management is one of the biggest challenges organizations face today. As cloud adoption continues to accelerate, so do the complexities and costs associated with it &mdash; and macroeconomic conditions only increase pressure to prove cloud efficiency.</p><p></p><p>
CloudZero is a SaaS platform at the intersection of next-generation cloud cost management and FinOps. We ingest billing and usage data from all cloud, SaaS, and PaaS providers, organize it in real time according to our customers' business structures, and empower organizations to make more informed business decisions.</p><p></p><p>
Since our founding in 2016, our mission has been to make efficient innovation a reality for every cloud-driven organization. We believe every engineering decision is a buying decision, and we're applying proven reliability engineering principles to financial efficiency.</p><p></p><p>
We believe the best AI empowers users with clear insights and confident decisions, transforming complex cloud cost data into actionable intelligence that drives meaningful business outcomes.</p><p></p><p>
To date, we've raised over $56 million from leading venture capital firms. We're solving problems of massive scale, business importance, and complexity in a space that needs it more than ever.</p><p></p><h3 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h3><p>
CloudZero is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background and reference checks.</p><p><b>
Please note</b>: <i>CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.</i></p><p>
Compensation Range: $220K - $250K</p></div>

Lead ML Engineer

Xenia

<div>
 <p>
  <strong>
   Software Engineer
  </strong>
 </p>
 <p>
  Boston, MA (Hybrid)&nbsp;&middot;&nbsp;$140,000&ndash;$170,000 + Equity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Xenia is a Series A, AI-powered operations platform for multi-location businesses: restaurants, retail chains, convenience stores, and hospitality groups. We help the people who run these places do their jobs better: consistent execution, real-time visibility, and less time on paper and spreadsheets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're building a small, high-ownership engineering team in Boston. We move fast and care deeply about the quality of our output.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  <strong>
   You'll be engineer #3 in our Boston hub, working closely in person (hybrid) with our CTO and founding engineer on the product that our customers depend on every day. This isn't a role where you execute a well-defined backlog; you'll have real input into what gets built, how it gets built, and why.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you've spent a few years building real products and found yourself wanting more autonomy, more visibility, and more of a seat at the table than your current role allows, this is that role.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we're looking for
  </strong>
 </p>
 <ul>
  <li>
   3-4 years of experience shipping production software; you've seen enough to know what matters and what doesn't.
  </li>
  <li>
   Strong product instincts alongside engineering ability; you think about what you're building, not just how.
  </li>
  <li>
   Comfort owning things end-to-end: you write the code, review others' work, handle the incident, and improve the system afterward.
  </li>
  <li>
   AI-native. You use LLMs and coding agents as a core part of how you work. You understand they're a tool to be steered by high-quality human operators, not a replacement for judgment and taste.
  </li>
  <li>
   Boston-based and excited for hybrid in-person collaboration with a tight, senior team.
  </li>
 </ul>
 <p>
  <strong>
   Our stack
  </strong>
 </p>
 <ul>
  <li>
   Node/TypeScript/React on the existing product; server-side-rendered Go for new services
  </li>
  <li>
   AWS: ECS, RDS, EC2, S3, and more
  </li>
  <li>
   Agent harnesses including Claude and Pi
  </li>
 </ul>
 <p>
  <strong>
   This role would be a bad fit for you if...
  </strong>
 </p>
 <ul>
  <li>
   You want a large team with clear pre-set roles and a well-defined scope
  </li>
  <li>
   You're used to having a dedicated platform team, SRE team, or someone else who owns the hard operational problems
  </li>
  <li>
   You'd rather work on well-understood domains with clear instruction than figure things out and make novel contributions to brand-new customer problems
  </li>
  <li>
   You're not comfortable being on-call or owning incidents end to end
  </li>
  <li>
   You're overly reliant on AI for collaboration, dropping obviously LLM-authored PR descriptions, code comments, or Slack messages on your peers without a strong editing pass
  </li>
 </ul>
 <p>
  <strong>
   What you get
  </strong>
 </p>
 <ul>
  <li>
   Strong ownership and implementation responsibility for a product driving millions in revenue.
  </li>
  <li>
   Early-stage equity at a recently post-Series A startup where your individual output is directly visible in the company's trajectory.
  </li>
  <li>
   Direct access to technical leadership with strong opinions and high standards; our CTO is ex-Stripe, and our founding engineer is ex-Hubspot.&nbsp;
  </li>
  <li>
   A small team where your individual output is visible and valued; this role will have a disproportionately large seat at the table compared to equivalent roles at other companies.
  </li>
  <li>
   Hybrid flexibility within the Boston area.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   To apply or learn more, reach out directly. We move fast when we find the right person.
  </em>
 </p>
</div>


Software Engineer

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