ml platform engineer

Lyra Health

<div><div><b>About Lyra Health</b></div>
<div>Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra&rsquo;s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.<br>
</div><div></div><br>
<div><p>We are looking for an experienced Senior AI/ML Platform Engineer who is eager to build the platforms, infrastructure and services necessary to deliver ML and generative AI based products that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.</p>
<p>
Lyra is for you if you</p>
<ul>
<li><p>Thrive on working with brilliant teammates to solve complex, meaningful problems</p>
</li>
<li><p>Are passionate about making a social impact and supporting people at their most challenging moments</p>
</li>
<li><p>Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers</p>
</li>
</ul><p>In this role, you will</p>
<ul>
<li><p>Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company</p>
</li>
<li><p>Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions</p>
</li>
<li><p>Build services that expose machine learning and AI based products</p>
</li>
<li><p>Deploy and manage various applications in production</p>
</li>
<li><p>And of course, you will be coding every day!</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>We are looking for someone with:</b></h3><div>
<ul>
<li><p>4+ years of experience delivering production ready products</p>
</li>
<li><p>Ability to write high-quality code in Python</p>
</li>
<li><p>Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)</p>
</li>
<li><p>Experience working with Docker and deploying applications to Kubernetes</p>
</li>
<li><p>Experience with relational and low-latency databases</p>
</li>
<li><p>Experience building RAG based AI solutions</p>
</li>
<li><p>Experience setting up and maintaining vector databases</p>
</li>
<li><p>Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)</p>
</li>
<li><p>A desire to learn new technologies quickly</p>
</li>
<li><p>A love of building systems from scratch</p>
</li>
<li><p>A thoughtful approach to balancing quality and deadlines in fast-paced settings</p>
</li>
<li><p>Excellent communication skills with a talent for building consensus and alignment</p>
</li>
<li><p>Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Nice to haves:</b></h3><div>
<ul>
<li><p>Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)</p>
</li>
<li><p>Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.</p>
</li>
<li><p>Experience working with Celery</p>
</li>
<li><p>Experience defining and using Protobuf messages</p>
</li>
</ul><ul><li><p>Experience writing production code in Java/Kotlin</p>
</li>
<li><p>Experience building solutions on cloud infrastructure, particularly AWS</p>
</li>
<li><p>Experience working with highly sensitive data in a healthcare environment</p>
</li>
</ul></div><div>As a full-time Senior AI/ML Platform Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.<br>
<br>
Annual salary is only one part of an employee&rsquo;s total compensation package at Lyra. We also offer generous benefits that include:
<br>
<br>
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)<br>
Lyra for Lyrians; coaching and therapy services<br>
Equity in the company through discretionary restricted stock units<br>
Competitive time off with pay policies including vacation, sick days, and company holidays<br>
Paid parental leave
<br>
401K with up to 3% matching<br>
Monthly tech allowance<br>
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration&hellip;and more!
<br>
<br>
We can&rsquo;t wait to meet you.<br>
</div><div>
&quot;We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.</div>
<div></div>
<div>By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not &ldquo;sell&rdquo; or &ldquo;share&rdquo; personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.&quot;</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI/ML Platform Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Sr. Lead Software Engineer at JPMorgan Chase within the AI/ML Platforms team in Corporate Sector, you will design, build, and operate the foundational cloud infrastructure that enables data scientists and machine learning engineers to develop, train, and deploy intelligent solutions across the firm. You will serve as a technical leader, driving platform reliability, scalability, and automation while collaborating with cross-functional teams to solve complex infrastructure challenges. Your work will directly accelerate the firm's AI/ML capabilities, enabling faster experimentation and production-grade deployments that create measurable business impact.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Architect and implement scalable, production-grade infrastructure on AWS using Kubernetes (EKS) to support AI/ML workloads across the enterprise</li><li>
Lead the design and development of infrastructure-as-code solutions using Terraform, ensuring repeatable, auditable, and automated environment provisioning</li><li>
Drive the installation, configuration, and lifecycle management of AI/ML platform components, ensuring high availability and operational resilience</li><li>
Partner with data science, machine learning, and product teams to define platform requirements and translate them into robust engineering solutions</li><li>
Establish and enforce engineering best practices, coding standards, and security controls across the platform infrastructure</li><li>
Identify and resolve performance bottlenecks, reliability gaps, and scalability constraints within the AI/ML platform ecosystem</li><li>
Contribute to the continuous improvement of CI/CD pipelines, enabling faster and safer delivery of platform updates and model deployments</li><li>
Mentor and guide junior engineers, fostering a culture of technical excellence, knowledge sharing, and collaborative problem-solving</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Demonstrated expertise with infrastructure-as-code tooling, specifically Terraform, in large-scale cloud environments</li><li>
Hands-on experience designing and managing Kubernetes clusters, with specific depth in AWS Elastic Kubernetes Service (EKS)</li><li>
Proven ability to architect and operate cloud-native infrastructure on AWS, including compute, networking, storage, and security services</li><li>
Experience supporting or building platforms for AI/ML workloads, including model training, serving, or experimentation environments</li><li>
Strong understanding of DevOps and platform engineering principles, including CI/CD, observability, and automated testing</li><li>
Ability to lead technical initiatives independently, communicate complex concepts clearly to both technical and non-technical stakeholders, and drive solutions from design through production</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Proficiency in Go or Python for automation, tooling development, or platform service implementation</li><li>
Experience with MLOps frameworks and tools such as Kubeflow, MLflow, or similar AI/ML lifecycle management platforms</li><li>
Familiarity with service mesh technologies, cloud networking patterns, and container security best practices</li><li>
Exposure to multi-cloud or hybrid cloud architectures and platform portability strategies</li></ul><p>
</p><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Sr. Lead Software Engineer - AIML Platforms

Lightning AI

<div><div><h2 class="jobSectionHeader"><b>Who </b><b>We Are</b></h2>
<p>
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems&mdash;designed to take ideas from research to production with less friction.</p>
<p>
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.</p>
<p>
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.</p>
<h2 class="jobSectionHeader"><b>
The Way We Work</b></h2>
<p>
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:</p>
<ul>
<li><b>Move with Urgency:</b> We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.</li>
<li><b>Take Ownership:</b> We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.</li>
<li><b>Communicate Openly:</b> We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.</li>
<li><b>Build Great Teams:</b> We lead by example, empower others, and create healthy teams where people can do their best work.</li>
<li><b>Raise the Bar:</b> We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li>
<li><b>Think Long-Term:</b> We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.</li>
</ul>
</div><div></div><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<p>
Lightning AI is looking to hire an <b>AI</b> <b>Platform Support Engineer </b>to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.</p>
<p>
This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You'll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.</p>
<p>
The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You'll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.</p>
<p><i>
This role is hybrid out of our Seattle, San Francisco, or New York office hubs, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday&ndash;Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time.</i></p><h2 class="jobSectionHeader"><br>
<b>
What You'll Do</b></h2>
<p><b>
Work Directly With ML Engineers</b></p>
<ul>
<li>Partner directly with customer engineering teams running training and inference workloads in production</li>
<li>Help customers diagnose and resolve complex distributed systems and ML infrastructure issues</li>
<li>Act as a technical advisor during high impact incidents and platform degradation events</li>
<li>Translate infrastructure level issues into actionable guidance for ML engineers</li>
<li>Build credibility with customers through strong technical reasoning and clear communication</li>
</ul>
<p><b>Debug ML Infrastructure &amp; Distributed Workloads</b></p>
<ul>
<li>Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems</li>
<li>Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues</li>
<li>Analyze logs, metrics, traces, and system behavior to isolate root causes</li>
<li>Debug containerized workloads running across Kubernetes and bare metal GPU environments</li>
<li>Support customers scaling workloads across multi node GPU systems</li>
<li>Diagnose performance bottlenecks involving compute, memory, networking, or storage</li>
</ul>
<p><b>Improve Reliability &amp; Platform Operations</b></p>
<ul>
<li>Identify recurring patterns across customer issues and drive long term reliability improvements</li>
<li>Contribute to post incident reviews and operational improvements</li>
<li>Build internal tooling, automation, documentation, and runbooks</li>
<li>Partner closely with infrastructure, networking, and platform engineering teams</li>
<li>Help improve observability, operational visibility, and troubleshooting workflows</li>
<li>Improve the customer experience through better processes and technical guidance</li>
</ul>
<p><b>What This Role Is Not</b></p>
<p>
To set clear expectations:</p>
<ul>
<li>This is not a traditional help desk or ticket routing support role</li>
<li>This is not purely customer success or account management</li>
<li>This is not a backend engineering role</li>
<li>This is not a passive escalation position</li>
</ul>
<p>This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What You'll Need</b></h2>
<h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<h4 class="jobSectionHeader"><b>Infrastructure &amp; Systems</b></h4>
<ul><li>Strong software engineering and systems troubleshooting background</li>
<li>Experience with Kubernetes and containerized environments</li>
<li>Linux systems knowledge, including networking, storage, process management, and performance tuning</li>
<li>Experience with cloud infrastructure and distributed systems</li>
<li>Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry</li>
</ul><h4 class="jobSectionHeader"><b>ML Infrastructure Experience</b></h4>
<ul><li>Hands on experience operating machine learning workloads in production or research environments</li>
<li>Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL</li>
<li>Familiarity with GPU infrastructure and orchestration</li>
<li>Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure</li>
<li>Understanding of the operational challenges involved in running ML systems at scale</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration</b></h4>
<ul><li>Strong communication skills and ability to work directly with highly technical customers and engineering teams</li>
<li>Comfortable operating in fast moving, highly ambiguous environments</li>
<li>Enjoys solving complex technical problems collaboratively</li>
</ul><h3 class="jobSectionHeader"><b>Ideal Experience</b></h3>
<ul><li>Experience with large scale model training or distributed inference systems</li>
<li>Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms</li>
<li>Experience with InfiniBand, RDMA, or high-performance networking</li>
<li>Experience operating bare metal infrastructure</li>
<li>Familiarity with storage systems commonly used in ML environments</li>
<li>Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company</li>
<li>Contributions to platform engineering, developer infrastructure, or operational tooling projects</li>
<li>Experience writing automation, tooling, or scripts in Python or similar languages</li>
</ul><div><h2 class="jobSectionHeader"><b>Benefits and Perks</b></h2>
<p>
We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:</p>
<ul>
<li><b>Comprehensive Health Coverage:</b> Medical, dental, and vision coverage for employees and eligible dependents.</li>
<li><b>Meaningful Equity:</b> RSUs that give employees a stake in the company's long-term success.</li>
<li><b>Retirement Savings:</b> 401(k) matching (U.S.) and pension contributions (U.K.).</li>
<li><b>Flexible Time Off:</b> Unlimited PTO, company holidays, and floating holidays to support work-life balance.</li>
<li><b>Company-Wide Winter Break:</b> Two weeks of company closure each winter to disconnect and recharge.</li>
<li><b>Paid Parental &amp; Family Leave:</b> Paid leave to support you and your family through life's important moments.</li>
<li><b>Professional Development:</b> Annual learning and development allowance to support your professional growth.</li>
<li><b>Wellness Benefits:</b> Wellness and work-from-home stipends to support your physical and mental well-being.</li>
<li><b>Sabbatical Program:</b> Four weeks of paid sabbatical leave after four years of service.</li>
<li><b>Flexible Work:</b> Flexible schedules and a hybrid work model for our office-based teams.</li>
<li><b>In-Office Meals:</b> Complimentary meals at our office hubs.</li>
</ul>
<p>Benefits may vary by location, team, and role.</p><br>
<p></p>
<p><i>
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.</i></p></div></div>

AI Platform Support Engineer (US)

DATA PULSE TECH AI LLC

<p><b>Generative AI &amp; Machine Learning | Google Cloud Platform | Federal Program</b></p><p><b>Location:</b> Remote (United States) &mdash; occasional travel may be required<br/><b>Employment Type:</b> Full-Time (Contract)<br/><b>Rate:</b> $100 &ndash; $150 per hour (commensurate with experience)<br/><b>Level:</b> Mid-Senior / SME (3&ndash;6+ years)<br/><b>Citizenship:</b> <b>U.S. Citizenship required &mdash; no exceptions, no visa sponsorship, no C2C through third-party visa holders</b><br/><b>Clearance:</b> Must be able to obtain and maintain Minimum Background Investigation (MBI)</p><p><b>About the Role</b></p><p><b>Lanthos Tech</b> is seeking a <b>GCP AI Engineer (SME)</b> to design, build, and scale a production-grade AI research system on Google Cloud Platform.</p><p>This role sits at the intersection of applied AI, software engineering, and federal compliance. You will build Retrieval-Augmented Generation (RAG) pipelines, deploy models through Vertex AI, and integrate Gemini APIs &mdash; all within a FedRAMP-authorized, ATO-governed cloud environment. It suits an engineer who is equally comfortable writing production Python, architecting cloud infrastructure, and reasoning about model behavior, latency, cost, and auditability.</p><p><b>What You'll Do</b></p><ul><li>Design, build, and deploy machine learning and generative AI pipelines on <b>Vertex AI</b>, including model training, fine-tuning, evaluation, and serving.</li><li>Build <b>RAG architectures</b> using vector search (e.g., Vertex AI Vector Search) to ground LLM outputs .</li><li>Integrate <b>Gemini APIs</b> and other foundation models into mission applications and internal analyst tooling.</li><li>Develop agentic workflows and multi-step orchestration using frameworks such as <b>LangChain, LangGraph, or CrewAI</b>.</li><li>Build and deploy agents using <b>Google's Agent Development Kit (ADK)</b> and integrate them with <b>Gemini Enterprise</b> for enterprise-grade deployment, access control, and governance.</li><li>Operate agents within managed runtime environments (e.g., <b>Vertex AI Agent Engine</b>), handling session state, tool-calling, and scaling of long-running agent workloads.</li><li>Architect and maintain scalable, secure cloud infrastructure across GCP services (<b>BigQuery, Cloud Run, Pub/Sub, Cloud Functions, GKE</b>), using <b>FedRAMP-authorized services and government-approved regions</b>.</li><li>Implement <b>MLOps</b> practices: CI/CD for models, automated retraining, monitoring, drift detection, evaluation harnesses, and rollback strategies.</li><li>Design systems that meet federal security and privacy obligations.</li><li>Support the <b>Authority to Operate (ATO)</b> process by producing architecture artifacts, data-flow diagrams, and control evidence in partnership with the security and compliance lead.</li><li>Write clean, well-tested, production-quality <b>Python</b>.</li><li>Collaborate with data scientists, product managers, platform engineers, and government stakeholders to translate mission requirements into technical solutions.</li><li>Monitor and optimize model performance, latency, and inference cost in production.</li><li>Document architecture decisions, pipelines, model cards, and operational runbooks for maintainability and government handover.</li></ul><p><b>Required Technical Skills</b></p><p><b>Programming</b></p><ul><li>Strong proficiency in <b>Python</b>; working knowledge of JavaScript or TypeScript is a plus.</li></ul><p><b>GCP &amp; AI Tools</b></p><ul><li>Hands-on experience with <b>Vertex AI</b> (training, pipelines, endpoints, model registry).</li><li>Experience with <b>Gemini APIs</b> and other GCP AI/ML services.</li><li>Proficiency with <b>BigQuery</b> for data warehousing and analytics workloads.</li></ul><p><b>GenAI &amp; Frameworks</b></p><ul><li>Solid understanding of <b>RAG architectures</b> and vector database implementations.</li><li>Experience with agentic orchestration frameworks: <b>LangChain, LangGraph, CrewAI</b>, or equivalent.</li><li>Hands-on experience with <b>Google's Agent Development Kit (ADK)</b> for building, testing, and deploying agents.</li><li>Familiarity with <b>Gemini Enterprise</b> for enterprise agent deployment, access control, and governance.</li><li>Experience operating agents in a <b>managed agent runtime</b> (e.g., Vertex AI Agent Engine), including session/state management and tool orchestration at scale.</li><li>Familiarity with prompt engineering, embeddings, and <b>LLM evaluation techniques</b> (groundedness, hallucination detection, retrieval quality).</li></ul><p><b>ML Operations</b></p><ul><li>Demonstrated ability to scale, monitor, and automate ML pipelines in production.</li><li>Experience with containerization (<b>Docker</b>) and orchestration (<b>Kubernetes / GKE</b>).</li><li>Familiarity with CI/CD tooling (<b>Cloud Build, GitHub Actions</b>, or similar).</li></ul><p><b>Federal Eligibility Requirements</b></p><p>These are contractual requirements and are not negotiable:</p><ul><li><b>Must be a U.S. Citizen.</b> Documentation of citizenship will be required. Permanent residents, visa holders, and dual-status candidates requiring sponsorship are not eligible for this engagement.</li><li><b>Must reside in and perform all work from within the United States.</b> Offshore or overseas work is prohibited.</li><li>Must be able to <b>pass an background investigation (Public Trust / MBI)</b>, including fingerprinting, and a <b>favorable federal tax compliance check</b> (filed and current on all tax obligations).</li><li>Must complete required federal security, privacy, and Safeguards (Pub 1075) training prior to system access.</li></ul><p><b>Qualifications &amp; Education</b></p><ul><li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Master's or PhD preferred for senior/SME-level scope.</li><li><b>3&ndash;6+ years</b> of software development or production AI/ML engineering experience.</li><li>Prior experience deploying AI/ML systems in a <b>production, end-user-facing environment</b> strongly preferred.</li><li>Prior <b>federal, public sector, or other regulated-industry</b> delivery experience is a significant advantage.</li></ul><p><b>Preferred Certifications</b></p><ul><li><b>Google Cloud Professional Machine Learning Engineer</b> (recommended).</li><li>Google Cloud Professional Cloud Architect or Professional Data Engineer (a plus).</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with multi-agent systems or autonomous agent design.</li><li>Prior work in a <b>FedRAMP</b> or <b>ATO-governed</b> cloud environment.</li><li>Familiarity with <b>Section 508 / accessibility</b> requirements for government-facing applications.</li><li>Experience handling PII, FTI, or other sensitive data under formal safeguards.</li><li>Contributions to open-source ML/AI tooling.</li><li>Familiarity with cost optimization strategies for large-scale inference workloads.</li></ul><p><b>Compensation &amp; Engagement Details</b></p><ul><li><b>$100 &ndash; $150 per hour</b>, based on experience, certifications, and depth of GCP AI delivery history.</li><li>Full-time contract engagement supporting a federal program.</li><li>100% remote within the United States.</li><li>Professional development and certification support available.</li></ul><p><b>Interview Process</b></p><ul><li><b>Recruiter screen</b> &mdash; eligibility, experience, and availability.</li><li><b>Round 1: Technical interview</b> (60 minutes) &mdash; GCP AI/ML depth, RAG and agent architecture, hands-on scenarios.</li><li><b>Round 2: Leadership interview</b> &mdash; delivery experience, collaboration, and federal program fit.</li><li><b>Additional round</b> may be scheduled on a need basis.</li><li><b>Onboarding</b> &mdash; citizenship verification, background investigation, and tax compliance check.</li></ul><p><i>Lanthos Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The U.S. citizenship and background investigation requirements stated above are imposed by the terms of the federal contract this position supports.</i></p><p>Pay: $90.00 - $150.00 per hour</p><p>Application Question(s):</p><ul><li>Are you a U.S Citizen ? </li></ul><p>Work Location: Remote</p>

GCP AI Engineer — Subject Matter Expert (SME)

Occam Solutions

<div><p>Primary Responsibility</p><p></p><p><br>
The <b>DevSecOps Engineer</b> shall serve as the lead technical engineer responsible for designing, implementing, securing, automating, and sustaining the cloud infrastructure supporting the Office of Naval Research (ONR) Data &amp; Analytics environment. The DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in <b>PWS Section 4.5 &ndash; Technical Infrastructure and Platform Support</b>, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment.</p><p></p><p><br>
The DevSecOps Engineer shall architect and maintain secure cloud infrastructure, automate deployment pipelines, support AI/ML platform integration, implement cloud-native security controls, monitor system health and security events, and ensure compliance with DoD cybersecurity requirements. This position will work closely with software developers, data engineers, cloud architects, cybersecurity personnel, and Government stakeholders to deliver resilient, scalable, and secure cloud services.</p><p></p><p><br>
Duties and Responsibilities</p>
<p>
The DevSecOps Engineer shall:</p>
<ul>
<li>Design, deploy, automate, and maintain secure cloud infrastructure supporting mission applications and analytics platforms.</li>
<li>Develop, implement, and manage automated CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or equivalent technologies.</li>
<li>Build and maintain Infrastructure-as-Code (IaC) solutions utilizing Terraform, Ansible, or similar automation frameworks.</li>
<li>Implement and manage containerized application environments using Docker, Kubernetes, or comparable orchestration platforms.</li>
<li>Configure, monitor, and optimize cloud-native security services including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), endpoint protection, and Security Information and Event Management (SIEM) platforms.</li>
<li>Analyze security logs, audit events, vulnerability reports, and SIEM alerts to identify threats, recommend mitigation strategies, and support incident response activities.</li>
<li>Support continuous Authority to Operate (ATO) compliance through configuration management, security patching, vulnerability remediation, and security documentation.</li>
<li>Implement secure API management, identity and access management (IAM), secrets management, encryption, and least-privilege access controls.</li>
<li>Develop automated monitoring, logging, alerting, and operational dashboards to improve system reliability and performance.</li>
<li>Support deployment and operationalization of AI/ML platforms and services, including cloud-native machine learning environments.</li>
<li>Collaborate with software developers, data engineers, and cloud architects to integrate security throughout the software development lifecycle (SDLC).</li>
<li>Ensure cloud infrastructure complies with DoD cybersecurity policies, FedRAMP High requirements, DoD IL5 controls, and applicable security frameworks.</li>
<li>Support system scalability, resilience, disaster recovery, and operational continuity.</li>
<li>Document system architectures, deployment procedures, security configurations, and operational processes.</li></ul><br>
<p></p>
<p>
Minimum Qualifications</p>
<p>
The DevSecOps Engineer shall meet the requirements for the <b>&quot;DevSecOps Engineer &ndash; Intermediate&quot;</b> labor category as defined in the <b>CHESS ITES-3S</b> contract vehicle and possess the following additional qualifications:</p>
<ul>
<li>Seven (7) years of combined experience in DevSecOps, DevOps, SecOps, or MLOps engineering and development.</li>
<li>Five (5) years of hands-on experience designing, securing, implementing, and maintaining cloud environments, preferably within <b>AWS GovCloud</b>, <b>Azure Government</b>, or similarly regulated cloud environments.</li>
<li>Demonstrated experience supporting cloud environments operating under <b>FedRAMP High</b>, <b>DoD Impact Level 5 (IL5)</b>, or comparable federal security requirements.</li>
<li>Verifiable experience on at least two (2) projects designing, implementing, and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or equivalent technologies.</li>
<li>Demonstrated expertise implementing and managing containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, or similar platforms.</li>
<li>Hands-on experience implementing Infrastructure-as-Code (IaC) using Terraform, Ansible, CloudFormation, or comparable automation tools.</li>
<li>Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.</li>
<li>Verifiable experience analyzing security logs, SIEM data, audit records, and threat intelligence to identify vulnerabilities, investigate security events, and implement corrective actions.</li>
<li>Experience implementing secure Identity and Access Management (IAM), encryption, secrets management, and Zero Trust security principles.</li>
<li>Experience supporting automated monitoring, logging, system performance optimization, and operational sustainment of enterprise cloud platforms.</li>
<li>Strong understanding of DevSecOps best practices, secure software development lifecycle (SSDLC), and cloud security architectures.</li><br>
</ul>
<p>Qualifications</p>
<ul>
<li>Active Secret security clearance (required).</li>
<li>Current DoD 8140 (or legacy DoD 8570) cybersecurity certification applicable to privileged access functions (e.g., Security+, CySA+, CASP+, CISSP, CCSP).</li>
<li>AWS Certified DevOps Engineer &ndash; Professional, AWS Security Specialty, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or comparable cloud certifications.</li>
<li>Experience supporting AI/ML environments, including AWS SageMaker, Azure Machine Learning, or similar platforms.</li>
<li>Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or equivalent event-driven architectures.</li>
<li>Familiarity with NIST RMF, DISA STIGs, FedRAMP, Zero Trust Architecture, and DoD cybersecurity compliance requirements.</li></ul></div>

DevSecOps Engineer

GEICO

<div><p><b>Why Join GEICO?</b></p><p></p><p>
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</p><p></p><p><br>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.</p><p></p><p><br>
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.</p><p></p><div><p><b>
Distinguished Engineer &ndash; Data Center Network Architecture &amp; Engineering</b></p></div><div><p><b>
Position Summary</b></p></div><div><p>
GEICO is seeking a Distinguished Engineer to define and lead the next generation of data center networking that powers our Private Cloud, Platform Engineering, AI/ML, and enterprise application ecosystems. This role will serve as the highest level of technical authority for network architecture, software-defined networking, network automation, and cloud connectivity across GEICO's on-premises and hybrid cloud environments.</p></div><div><p>
As a Distinguished Engineer, you will be responsible for architecting hyperscale-inspired network platforms that deliver the reliability, scalability, security, and operational simplicity required for modern cloud infrastructure. You will drive the transformation from traditional networking to a fully software-defined, automated, API-driven platform leveraging open networking, SmartNICs, programmable data planes, network virtualization, and infrastructure-as-code.</p></div><div><p>
This role requires deep expertise across routing and switching, data center fabrics, cloud networking, network operating systems, automation frameworks, and distributed systems. You will influence architecture decisions across Infrastructure, Security, Platform Engineering, and Cloud organizations while mentoring senior engineers and helping shape GEICO's long-term technology strategy.</p></div><div><p><b>
Position Description</b></p></div><div><p>
As a Distinguished Engineer, you will establish the technical vision and engineering strategy for GEICO's data center networking ecosystem, supporting our OpenStack-based Private Cloud, Kubernetes platforms, enterprise applications, AI/ML infrastructure, and hybrid cloud environments.</p></div><div><p>
You will lead the architecture and development of highly scalable Layer 3 Clos fabrics, software-defined networking platforms, cloud networking services, and network automation frameworks that enable self-service infrastructure at enterprise scale. You will work closely with cloud, compute, storage, security, and platform engineering teams to build a unified infrastructure architecture focused on resilience, automation, observability, and developer productivity.</p></div><div><p>
The ideal candidate combines deep networking expertise with strong software engineering skills and a proven track record designing and operating cloud-scale network platforms.</p></div><p></p><div><p><b><br>
Position Responsibilities</b></p></div><div><p><b>
Architecture &amp; Strategy</b></p></div><div><ul><li><p>
Define the long-term architectural vision for GEICO's data center network infrastructure.</p></li></ul></div><div><ul><li><p>
Establish standards and reference architectures for data center fabrics, cloud networking, hybrid connectivity, and network security.</p></li></ul></div><div><ul><li><p>
Drive technical roadmaps for network modernization, automation, and software-defined infrastructure initiatives.</p></li></ul></div><div><ul><li><p>
Evaluate emerging technologies and industry trends to guide strategic investments and platform evolution.</p></li></ul></div><div><p><b>
Data Center Networking</b></p></div><div><ul><li><p>
Design and evolve large-scale data center network architectures supporting virtualization, container platforms, bare metal infrastructure, and cloud-native applications.</p></li></ul></div><div><ul><li><p>
Architect highly available network services supporting multi-site and multi-region deployments.</p></li></ul></div><div><ul><li><p>
Define resiliency, redundancy, and disaster recovery strategies for mission-critical infrastructure.</p></li></ul></div><div><p><b>
Software-Defined Networking &amp; Automation</b></p></div><div><ul><li><p>
Lead the design and implementation of software-defined networking capabilities across private cloud and hybrid cloud environments.</p></li></ul></div><div><ul><li><p>
Build automated network provisioning and lifecycle management platforms utilizing APIs, Infrastructure-as-Code, and GitOps methodologies.</p></li></ul></div><div><ul><li><p>
Develop frameworks for automated network validation, configuration management, compliance enforcement, and operational remediation.</p></li></ul></div><div><ul><li><p>
Drive adoption of programmable networking using SmartNICs, DPUs, and open hardware abstraction technologies.</p></li></ul></div><div><p><b>
Cloud &amp; Platform Integration</b></p></div><div><ul><li><p>
Partner with OpenStack, Kubernetes, Storage, and Platform Engineering teams to deliver integrated cloud networking solutions.</p></li></ul></div><div><ul><li><p>
Architect networking solutions supporting Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), AI/ML platforms, and emerging cloud services.</p></li></ul></div><div><ul><li><p>
Define connectivity patterns between on-premises infrastructure and public cloud providers.</p></li></ul></div><div><ul><li><p>
Enable secure, scalable multi-tenant networking capabilities across cloud platforms.</p></li></ul></div><div><p><b>
Performance, Security &amp; Reliability</b></p></div><div><ul><li><p>
Lead network performance engineering initiatives to improve throughput, latency, availability, and operational efficiency.</p></li></ul></div><div><ul><li><p>
Define observability standards leveraging telemetry, analytics, monitoring, and automated diagnostics.</p></li></ul></div><div><ul><li><p>
Partner with cybersecurity teams to implement Zero Trust architectures, segmentation strategies, and cloud-native security controls.</p></li></ul></div><div><ul><li><p>
Drive continuous improvement through operational excellence, automation, and resilience engineering.</p></li></ul></div><div><p><b>
Technical Leadership</b></p></div><div><ul><li><p>
Serve as the organization's most senior technical authority for network architecture and design.</p></li></ul></div><div><ul><li><p>
Mentor Principal, Senior Staff, and Staff Engineers across multiple organizations.</p></li></ul></div><div><ul><li><p>
Lead architecture reviews, technical design decisions, and engineering strategy discussions.</p></li></ul></div><div><ul><li><p>
Build strong partnerships across Infrastructure, Security, Cloud, and Engineering leadership teams.</p></li></ul></div><div><p><b>
Minimum Qualifications</b></p></div><div><p><b>
Technical Expertise</b></p></div><div><ul><li><p>
Deep expertise in modern data center networking architectures and large-scale network design.</p></li></ul></div><div><ul><li><p>
Advanced understanding of Layer 2/Layer 3 protocols including:</p></li></ul></div><div><ul><li><p>
BGP</p></li></ul></div><div><ul><li><p>
EVPN</p></li></ul></div><div><ul><li><p>
VXLAN</p></li></ul></div><div><ul><li><p>
ECMP</p></li></ul></div><div><ul><li><p>
MPLS</p></li></ul></div><div><ul><li><p>
OSPF</p></li></ul></div><div><ul><li><p>
Experience designing and operating leaf-spine and Clos network fabrics.</p></li></ul></div><div><ul><li><p>
Strong understanding of software-defined networking architectures and network virtualization technologies.</p></li></ul></div><div><p><b>
Cloud &amp; Infrastructure</b></p></div><div><ul><li><p>
Experience designing networking solutions for private, hybrid, and public cloud environments.</p></li></ul></div><div><ul><li><p>
Understanding of Kubernetes networking, container networking, and cloud-native networking models.</p></li></ul></div><div><ul><li><p>
Familiarity with OpenStack networking services including Neutron and related networking components.</p></li></ul></div><div><ul><li><p>
Experience supporting large-scale virtualized and bare metal environments.</p></li></ul></div><div><p><b>
Software Engineering</b></p></div><div><ul><li><p>
Strong software development skills in one or more of the following:</p></li></ul></div><div><ul><li><p>
Go</p></li></ul></div><div><ul><li><p>
Python</p></li></ul></div><div><ul><li><p>
C/C++</p></li></ul></div><div><ul><li><p>
Rust</p></li></ul></div><div><ul><li><p>
Java</p></li></ul></div><div><ul><li><p>
Experience building automation platforms, APIs, and infrastructure services.</p></li></ul></div><div><ul><li><p>
Strong knowledge of Linux system architecture and distributed systems.</p></li></ul></div><div><p><b>
Operational Excellence</b></p></div><div><ul><li><p>
Proven ability to troubleshoot complex network performance, availability, and scaling challenges.</p></li></ul></div><div><ul><li><p>
Strong understanding of observability, telemetry, monitoring, and incident response practices.</p></li></ul></div><div><ul><li><p>
Excellent analytical and systems-thinking capabilities.</p></li></ul></div><div><p><b>
Leadership</b></p></div><div><ul><li><p>
Demonstrated ability to influence technical direction across multiple engineering organizations.</p></li></ul></div><div><ul><li><p>
Exceptional communication and collaboration skills.</p></li></ul></div><div><ul><li><p>
Proven track record mentoring senior technical talent and driving organization-wide engineering initiatives.</p></li></ul></div><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
15+ years of networking, infrastructure, or cloud engineering experience.</p></li></ul></div><div><ul><li><p>
10+ years designing enterprise or hyperscale network architectures.</p></li></ul></div><div><ul><li><p>
Experience with open networking technologies and disaggregated network operating systems.</p></li></ul></div><div><ul><li><p>
Experience with SmartNICs, DPUs, programmable switches, and hardware acceleration technologies.</p></li></ul></div><div><ul><li><p>
Familiarity with Open Compute Project (OCP) networking technologies and Switch Abstraction Interface (SAI).</p></li></ul></div><div><ul><li><p>
Experience with large-scale cloud providers or cloud service architectures.</p></li></ul></div><div><ul><li><p>
Experience supporting AI/ML, GPU, or high-performance computing networking environments.</p></li></ul></div><div><ul><li><p>
Experience implementing Infrastructure-as-Code and GitOps operating models.</p></li></ul></div><div><ul><li><p>
Knowledge of Zero Trust networking and network security architectures.</p></li></ul></div><p></p><div><p><b><br>
Education</b></p></div><div><ul><li><p>
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or related technical field; or equivalent practical experience.</p></li></ul></div><div><ul><li><p>
Advanced degree or relevant industry certifications preferred.</p></li></ul></div><p></p><div><p><b><br>
Why This Role Matters</b></p></div><div><p>
This Distinguished Engineer will define the future of networking at GEICO. Through software-defined infrastructure, cloud-native networking, automation, and modern architecture patterns, this leader will build the foundational network platform that powers GEICO's private cloud, AI initiatives, digital products, and enterprise technology ecosystem for the next decade.</p></div><p></p><p><b><br>
Annual Salary</b></p>
$140,000.00 - $300,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> Protecting customers through life&rsquo;s twists and turns with innovation and integrity.</p><p></p><p><b>
Great Careers:</b><b> </b>Personalized development programs, mentorship, and certification assistance.</p><p></p><p><b>
Great Culture:</b><b> </b>Inclusive and collaborative culture rooted in shared success.</p><p></p><p><b>
Great Rewards:</b><b> </b>Competitive pay, benefits, and flexibility to support your well-being and future.</p><p></p><p><br>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p><br>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Distinguished Engineer – Data Center Network Architecture & Engineering

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