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ai engineer

ai architect hybrid

Carease Health

<div><p>Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.</p><p><b>
Role Overview</b></p><p>
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.</p><p><b>
What You Will Do</b></p><ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul><p><b>
What We Are Looking For</b></p><ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul><p><b>
Nice to Have</b></p><ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul><p><b>
Why Join Carease Health</b></p><ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul><p></p><p><br>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

AI Architect Hybrid

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Application deadline: May 20, 2026<br>
<br>
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.<br>
<br>
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect Specialist Solutions Architect!<br>
<br>
The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist &amp; Partner (ASP) org, which works backwards from our customer&rsquo;s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.<br>
<br>
A critical dimension of this role is Customer Data Readiness &mdash; assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect deployments. We stay closely connected to our customers and bring valuable data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business.<br>
<br>
Key job responsibilities<br>
<ul><li>Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans.
</li><li>Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses.
</li><li>Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.
</li><li>A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries.
</li><li>Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases).
</li><li>Cloud Data Access: Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG).
</li><li>Agentic IDE Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation.
</li><li>Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
</li><li>Field Enablement: Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns.
</li></ul><br>
A day in the life<br>
<ul><li>Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps before AI agent configuration
</li><li>Designing prompt strategies and evaluating model performance across different foundation models
</li><li>Building Lambda functions and API integrations that serve as tools for AI agents
</li><li>Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption
</li><li>Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise
</li><li>Configuring knowledge bases and data connectors for RAG-powered agent responses
</li><li>Running evaluation frameworks to measure AI agent accuracy, latency, and customer satisfaction
</li><li>Conducting architecture reviews and providing prescriptive guidance for production readiness
</li><li>Documenting implementation patterns and contributing to the team's knowledge base
</li></ul><br>
About the team<br>
The Applied AI Solutions Architecture team is part of the AWS Specialist and Partner Organization (ASP). We are the technical bridge between Amazon Connect customers and the service teams building the next generation of AI-powered contact center capabilities. Our team operates at the forefront of agentic AI adoption, helping customers become production-ready with Amazon Connect's Unlimited AI features.
<br>
<br>
Diverse Experiences<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing</li><li>Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of distributed systems design and implementation or equivalent</li><li>Knowledge of large scale automation and workflow management or equivalent</li><li>Knowledge of database design and implementation or equivalent</li><li>Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers</li><li>Experience architecting, migrating, transforming or modernizing customer requirements to the cloud</li><li>Experience with Amazon Connect or other enterprise contact center platforms (Genesys, Avaya, Cisco, NICE, Five9, etc.)</li><li>Hands-on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually<br>
USA, CO, Denver - 182,800.00 - 247,300.00 USD annually<br>
USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually<br>
USA, IL, Chicago - 182,800.00 - 247,300.00 USD annually<br>
USA, NY, New York - 201,000.00 - 272,000.00 USD annually<br>
USA, VA, Herndon - 182,800.00 - 247,300.00 USD annually<br>
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually</div><p></p>

Principal Applied AI Solutions Architect, Amazon Connect

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos.<br>
<br>
This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale.<br>
<br>
We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production.<br>
<br>
What You Will Build<br>
<ul><li>AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners</li><li>Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets</li></ul>
- Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor<br>
<ul><li>This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams.</li></ul><br>
What Makes This Role Unique<br>
This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has already driven AI adoption to over 90% among its software builders.<br>
<br>
Key job responsibilities<br>
- Platform Architecture: Architect and own the end-to-end design of a full-stack data platform - from data ingestion and transformation pipelines to API delivery and front-end consumption layers.<br>
<ul><li>Technical Standards: Define and enforce technical standards across the team, including design patterns, data modeling best practices, API contracts, reliability, and scalability principles.</li><li>Cross-Functional Leadership: Lead cross-functional technical initiatives, aligning engineering, product, data science, and partner teams around a unified data strategy.</li><li>AI-Powered Engineering: Build AI-powered data platforms that serve ML models and deploy intelligent agents that democratize data access for non-technical stakeholders.</li><li>Data Pipeline Design: Design and implement large-scale ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage.</li><li>Partner API Strategy: Drive the API strategy for external partner integrations &mdash; enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds.</li><li>Engineering Excellence: Lead design reviews, define code quality standards, own CI/CD pipelines, and champion automated testing and observability.</li></ul>
- Mentorship: Mentor and grow engineers on the team - conducting design reviews, providing technical guidance, and elevating the overall engineering bar.<br>
<ul><li>Business Translation: Partner with product and business stakeholders to translate ambiguous business problems into well-scoped, high-impact technical solutions.</li><li>Operational Excellence: Define SLAs, build monitoring and alerting, and lead incident response for production systems.</li></ul><br>
A day in the life<br>
You start your morning reviewing a design proposal from a junior engineer - you provide structured feedback that sharpens the data model and catches a scalability risk before it reaches production. By midday, you're in a cross-team sync with the OEM integrations team, aligning on the API contract for a new real-time inventory feed. In the afternoon, you're deep in architecture work - designing the next generation of the dealer analytics pipeline that will reduce data latency from hours to minutes. You close the day reviewing a pull request and unblocking a teammate on a tricky ETL edge case. Every day, your decisions shape the platform that hundreds of dealers and partners rely on to run their business on Amazon.<br>
<br>
About the team<br>
We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations.<br>
<br>
This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience analyzing large datasets and translating them to actionable business insight</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Master's degree in computer science or equivalent</li><li>5+ years of developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting experience</li><li>Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.</li><li>Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture</li><li>Experience in Kafka, or experience in any Bigdata architecture and experience in Redshift</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 184,900.00 - 250,200.00 USD annually<br>
USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Development Engineer, Amazon Autos

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At Amazon Web Services (AWS), we are seeking a Healthcare &amp; Life Sciences (HCLS) Solutions Architect to join our HCLS organization within AWS Industries. In this role, you will help shape and deliver our strategy for global HCLS customers and partners, partnering with some of the world's largest healthcare and life sciences companies to design cloud architectures that address their industry-specific business challenges and accelerate the adoption of AWS services.<br>
<br>
As a Solutions Architect, you will be at the forefront of helping customers succeed using AWS technologies &mdash; linking technology with measurable business value for healthcare and life sciences organizations. You will have technical depth, business aptitude, and the ability to lead in-depth technology discussions, articulating the value of the AWS platform to Enterprise Architects, Technical Architects, Cloud Architects, Directors, VPs, and CXOs.<br>
<br>
You will craft highly scalable, flexible, and resilient cloud architectures, assist organizations in understanding best practices around advanced cloud-based solutions, and help migrate existing workloads to the cloud. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases (e.g., Artificial Intelligence, Machine Learning, Generative AI, Serverless and Container-based architectures, Analytics and Big Data, DevOps, and Security). In collaboration with account management, professional services, support, product teams, and the AWS partner ecosystem, you will formulate and execute strategies to build mind-share and broad use of AWS within enterprise customers.<br>
<br>
Key job responsibilities<br>
Ensure success in building and migrating applications, software, and services on the AWS platform for HCLS customers<br>
In partnership with the account management team, formulate and execute a customer engagement strategy<br>
Build prototypes, proofs of concept, and demonstration assets that showcase AWS capabilities &mdash; particularly in AI/ML, Generative AI, and data analytics &mdash; tailored to healthcare and life sciences use cases<br>
Educate customers on the value proposition of AWS and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud<br>
Stay current on emerging AI/ML technologies and cloud-native patterns, and translate that knowledge into actionable guidance and reference architectures for HCLS customers<br>
Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS<br>
Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates<br>
Capture and share best-practice knowledge within the AWS Solutions Architect community<br>
Author or contribute to AWS customer-facing publications such as whitepapers and reference architectures<br>
Act as a technical liaison between customers, service engineering teams, and support<br>
<br>
A day in the life<br>
Your morning starts with a customer call &mdash; whiteboarding a cloud migration strategy for a global pharma company. Mid-morning, you're building a Generative AI prototype that shows how a life sciences customer could accelerate drug discovery. After lunch, you join an architecture review with the account team, then lead a hands-on workshop walking a hospital system through HIPAA-compliant deployments on AWS. Between meetings, you're sketching a reference architecture for a new ML pipeline, trading ideas with fellow SAs in Slack, and jotting down notes for a whitepaper. No two days look the same.<br>
<br>
About the team<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>Experience in a technical role within a sales organization</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in IT development or implementation/consulting in the software or Internet industries</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually</div><p></p>

Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS

Goodie AI

<div><h3 class="jobSectionHeader"><b>We are:</b></h3><p></p><h3 class="jobSectionHeader"><b>
About Goodie AI:</b></h3><p>
Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they&rsquo;re represented.</p><p>
Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn&rsquo;t exist two years ago - we were early, and we&rsquo;re defining it.</p><p>
We&rsquo;re backed by strong investors, trusted by category-leading customers, and scaling fast. We&rsquo;re hiring curious, ambitious builders to help shape the future of AI search.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
We are looking for:</b></h3><p>
We're looking for a skilled Talent Acquisition Specialist to drive our hiring efforts for technical and GTM roles for NoGood&rsquo;s sister company- Goodie AI. You'll be the architect of our talent pipeline, managing full-cycle recruitment while ensuring every candidate experiences the NoGood and Goodie culture from first contact through their first day. This role combines strategic recruiting with hands-on people operations, making you a key player in scaling our team and strengthening our culture.</p><p>
You're a people-first recruiter who understands that great hiring goes beyond matching skills to job descriptions. You excel at identifying potential, building relationships with candidates across diverse backgrounds, and creating hiring experiences that reflect our company values. You thrive in fast-paced environments and can seamlessly juggle multiple priorities while maintaining high standards.</p><p>
You'll be instrumental in building NoGood and Goodie&rsquo;s future by identifying and attracting the talent that will drive our growth. Your work directly impacts our ability to deliver exceptional results for clients while creating an environment where team members thrive. You'll have the opportunity to shape both our talent acquisition strategy and company culture.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
You'll Do</b></h3><p><b>
Full-Cycle Recruitment</b></p><ul><li><p>
Partner with hiring managers to define role requirements, develop sourcing strategies, and execute hiring plans for technical and GTM positions</p></li><li><p>
Source, screen, and interview candidates for roles including: Software Engineers, Data Engineers, Product Design, Marketing professionals, Sales professionals, and other technical and GTM positions</p></li><li><p>
Manage candidate pipelines from initial outreach through offer acceptance and onboarding</p></li><li><p>
Proactively build and maintain a robust network of qualified candidates across target roles and markets</p></li><li><p>
Coordinate interviews, provide feedback to candidates, and guide them through our hiring process</p></li></ul><p><b>
Candidate Experience &amp; Employer Branding</b></p><ul><li><p>
Ensure every candidate has an exceptional experience that reflects NoGood's and Goodie values and culture</p></li><li><p>
Act as a brand ambassador, representing NoGood and Goodie professionally in all candidate interactions</p></li><li><p>
Develop and refine our recruitment messaging and positioning to attract top talent</p></li><li><p>
Maintain consistent communication with candidates throughout the process, providing timely updates and feedback</p></li></ul><p><b>
People Operations &amp; Onboarding</b></p><ul><li><p>
Assist in the design and execution of comprehensive onboarding experiences for new hires</p></li><li><p>
Coordinate 30, 60, and 90-day check-ins and development plans</p></li><li><p>
Manage new hire documentation, compliance requirements, and first-week schedules</p></li><li><p>
Support broader people operations workflows and employee documentation management for both NoGood and Goodie</p></li></ul><p><b>
Culture &amp; Engagement</b></p><ul><li><p>
Collaborate with the People Team to plan and execute culture initiatives including team events, offsites, happy hours, and celebrations</p></li><li><p>
Support employee engagement efforts across our New York , remote US, and global team</p></li><li><p>
Collaborate with leadership on team-building initiatives and company culture development</p></li><li><p>
Coordinate company swag, recognition programs, and other engagement activities</p></li></ul><p><b>
Analytics &amp; Continuous Improvement</b></p><ul><li><p>
Track and analyze recruiting metrics to identify trends and improvement opportunities</p></li><li><p>
Provide regular reporting on hiring pipeline, time-to-fill, and candidate experience metrics</p></li><li><p>
Continuously refine recruiting processes based on data insights and candidate feedback</p></li></ul><h3 class="jobSectionHeader"><b>
You have</b></h3><p><b>
Core Experience</b></p><ul><li><p>
2+ years of full-cycle recruiting experience in fast-paced environments- preferably at AI, SaaS, or similar tech startups</p></li><li><p>
Proven track record hiring for technical, marketing, sales, and creative roles</p></li><li><p>
Experience with both domestic and international hiring processes</p></li><li><p>
Strong understanding of recruiting best practices and compliance requirements</p></li><li><p>
General exposure to People Ops processes and procedures</p></li></ul><p><b>
Technical Skills</b></p><ul><li><p>
Proficiency with applicant tracking systems (ATS) and sourcing tools</p></li><li><p>
Knowledge of recruiting platforms (LinkedIn Recruiter and specialized job boards aimed at tech and startup hiring)</p></li><li><p>
Experience with HR information systems and documentation management</p></li><li><p>
Familiarity with employment law and compliance requirements, domestic and global</p></li></ul><p><b>
Strategic &amp; Interpersonal Abilities</b></p><ul><li><p>
Excellent judgment in assessing candidate potential, cultural fit, and role alignment</p></li><li><p>
Outstanding written and verbal communication skills</p></li><li><p>
Ability to build rapport quickly with candidates from diverse backgrounds and industries</p></li><li><p>
Strategic mindset with the ability to think beyond immediate hiring needs</p></li></ul><p><b>
Personal Competencies</b></p><ul><li><p>
Strong self-management and organizational skills</p></li><li><p>
Ability to handle multiple priorities and deadlines simultaneously</p></li><li><p>
Growth mindset with openness to feedback and continuous learning</p></li><li><p>
High level of discretion and professionalism in all interactions</p></li><li><p>
Natural curiosity about people and what motivates them</p></li></ul><p><b>
Nice-to-Have</b></p><ul><li><p>
Experience in ad tech, product, or marketing-focused companies</p></li><li><p>
Experience in early stage (Seed-Series B) organizations</p></li><li><p>
Background in people operations or HR generalist functions</p></li><li><p>
Event planning and culture programming experience</p></li><li><p>
Experience with remote team management and engagement</p></li></ul><h3 class="jobSectionHeader"><b>
Benefits &amp; Perks of becoming a NoGoodie:</b></h3><ul><li><p>
Earn More, Together: Base Pay + Profit Sharing &amp; Commissions Opportunities</p></li><li><p>
Health First: Premium Medical, Dental &amp; Vision Coverage</p></li><li><p>
Flex Work Environment: Hybrid at HQ and remote globally</p></li><li><p>
Set Up Shop: Home Office Stipend</p></li><li><p>
Recharge Anytime: Unlimited PTO Plan</p></li><li><p>
Family First: Paid Parental Leave Plan</p></li><li><p>
Secure Your Future: 401(k) Plan with Employer Matching</p></li><li><p>
Level Up: Mentorship &amp; Career Growth Support</p></li><li><p>
Always Be Learning: Access to Top-tier Resources &amp; Industry Experts</p></li><li><p>
Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite)</p></li><li><p>
Mind &amp; Body Wellness: Gym, Wellness, and Access to Mental Health Plans</p></li><li><p>
Fuel Your Day: Free Lunch, Snacks, Cold Brew, &amp; Happy Hours</p></li><li><p>
Grow With Us: Endless Opportunities to Lead &amp; Succeed</p></li><li><p>
Keep on Shining: Ongoing Employee Development Programs</p></li></ul><div></div><p><b><br>
EEO &amp; Compensation Transparency:</b></p><p>
NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $75,000 - $92,000.</p><p>
At NoGood, we understand that diversity in the workplace is vital to a company&rsquo;s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization.</p></div>

Talent Acquisition Specialist

Ramp

<div><div><p>Location</p><div>
New York, NY (HQ); Remote (US)</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Sales</div></div><div><p>
Compensation</p><ul><div><div>
NYC/SF</div><p>
The listed range represents the total OTE, comprising a 70% base &amp; 30% commission. $156K &ndash; $214K &bull; Offers Equity &bull; Offers Commission &bull; OTE</p></div><div><div>
Nationwide</div><p>
The listed range represents the total OTE, comprising a 70% base &amp; 30% commission. $140K &ndash; $193K &bull; Offers Equity &bull; Offers Commission &bull; OTE</p></div></ul><div><div>
The final compensation will depend on the location and level at which the candidate is hired.</div></div></div></div>
<br><p></p><div><div><div><div><b>About Ramp</b></div><p>
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.</p><p>
The problems are high-stakes, data-dense, and unforgiving.</p><p>
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you&rsquo;ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.</p><p>
The median Ramp customer saves 5% and grows revenue 16% in their first year &ndash; far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.</p><p>
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.</p><p></p><p>
About the Role</p><p>
Ramp is building out its partner ecosystem, and the Technical Partnerships team sits at the intersection of product, engineering, sales, and our growing network of third-party platforms. As a Technical Channel Partnerships Manager, you'll turn Ramp's developer platform and APIs into scalable, revenue-generating integrations; architecting end-to-end solutions with ISVs, embedded finance partners, and strategic tech platforms. You won't just make integrations work; you'll make them a repeatable engine of partner-driven growth.</p><p>
You will be expected to pitch and close co-build and co-sell agreements, own integration success metrics, and serve as the primary bridge between external partner engineering teams and Ramp's internal teams, delivering integrations that drive meaningful adoption and revenue.</p><p></p><p>
What You'll Do</p><ul><li><div>
Architect end-to-end partner integrations using Ramp's developer platform &mdash; including APIs, webhooks, authentication flows, embedded finance primitives, and workflow automation</div></li><li><div>
Pitch, negotiate, and close co-build and co-sell agreements with third-party platforms, ISVs, and strategic partners</div></li><li><div>
Collaborate cross-functionally with engineering, product, sales, solutions, legal, and GTM teams to design robust, scalable partnership strategies</div></li><li><div>
Define integration success metrics (adoption, usage, retention, partner-driven revenue) and be accountable for delivering against them</div></li><li><div>
Manage partner relationships and act as the bridge between external partner engineering teams and internal Ramp teams &mdash; clarifying data flows, responsibilities, timelines, and deliverables</div></li><li><div>
Proactively identify integration blockers and architect around constraints such as rate limits, data model mismatches, scaling, security, and compliance requirements</div></li><li><div>
Influence partner roadmaps, product prioritization, and GTM motions based on integration opportunities and ecosystem gaps</div></li></ul><p>
What You Need</p><ul><li><div>
5+ years of experience and a strong track record in partner sales, BD, alliances, or channel partnerships (with meaningful ISV/tech partner exposure)</div></li><li><div>
Strong understanding of REST APIs, webhooks and event-driven architecture, data models and schema design, authentication flows (OAuth, API keys), embedded finance primitives, and general principles of financial and ERP systems</div></li><li><div>
Ability to architect integration flows without writing production code &mdash; comfortable drawing sequence diagrams, mapping data flows, and specifying responsibilities on both the partner and Ramp sides</div></li><li><div>
Proven commercial instincts: able to position integrations as strategic value, negotiate agreements, and structure co-sell motions</div></li><li><div>
Track record of delivering quantifiable results &mdash; integration adoption, partner-driven pipeline, revenue impact, or similar outcomes from full-stack partnership, integrations, or ecosystem-building roles</div></li><li><div>
Excellent communication skills with the ability to speak confidently with engineers, product teams, sales leaders, and C-suite stakeholders, and translate technical constraints into business implications</div></li><li><div>
Bias toward execution and speed: you move fast, deliver clean work, and push initiatives across teams to completion</div></li><li><div>
Comfort working in ambiguity &mdash; you thrive when documentation is incomplete, requirements evolve, and decisions must be made without perfect information</div></li></ul><p>
Nice to Haves</p><ul><li><div>
Previous experience at a fintech or embedded-finance company</div></li><li><div>
History of working with ERP, accounting, procurement, or spend-management platforms, or building integrations for them</div></li><li><div>
Prior success in co-sell or partner-driven GTM motions</div></li><li><div>
Familiarity with compliance or financial workflows (expense management, reimbursements, vendor payments, bookkeeping, etc.)</div></li></ul><p>
Benefits available to all full-time Ramp employees (Global)</p><ul><li>Flexible PTO</li><li>Unlimited AI token usage</li><li>Centralized home-office equipment ordering</li><li>Health and wellness stipend</li><li>Budget for intra-office travel</li><li>Weekly coffee stipend</li></ul><p></p><p>
United States</p><ul><li>100% medical, dental &amp; vision insurance coverage for you, with partial coverage for dependents</li><li>One Medical annual membership</li><li>401(k), including employer match on contributions made while employed by Ramp</li><li>Fertility HRA (up to $10,000 per year)</li><li>Parental leave: up to 16 weeks (80 days) at 100% pay</li><li>Pet insurance</li><li>In-office perks: lunch, snacks, drinks, and more</li><li>Relocation support to NYC or SF (as needed)</li></ul><p></p><p>
Canada</p><ul><li>Group medical, dental, and vision coverage through Sun Life</li><li>Life, AD&amp;D, and disability coverage</li><li>Fertility drug coverage (up to $4,000 lifetime)</li><li>Group Retirement Plan with employer match (RRSP + DPSP)</li><li>Parental leave: up to 16 weeks (80 days) at 100% pay, with additional time available at reduced pay</li><li>Employee Assistance Program and virtual care through Lumino Health</li></ul><p></p><p>
United Kingdom</p><ul><li>Private medical insurance through Freedom Elite</li><li>Virtual GP and at-home care via eMed x Livi</li><li>Workplace pension through Penfold, with salary sacrifice option</li><li>Parental leave: up to 16 weeks (80 days) at 100% pay, with additional time available at reduced pay</li></ul><p></p><p><b>
Referral Instructions</b></p><p>
If you are being referred for the role, please contact that person to apply on your behalf.</p><p></p><p><b>
Other notices</b></p><p>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p><p></p><p><i>
Beware of recruiting scams: Ramp will only contact you through official @</i><i>Ramp.com</i><i> email addresses and will never ask for payment or sensitive personal information during the hiring process.</i></p></div></div></div><p></p>

Technical Channel Partner Manager | ISV

Goldman Sachs

<div><div><div><div><div><div><div><p><b>What We Do:</b></p>
<p>
At Goldman Sachs, our Engineers don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.</p>
<p>
Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.</p>
<p><b>
Who We Look For</b></p>
<p>
Goldman Sachs is seeking an <b>AI Engineer</b> to join our dynamic <b>GenAI Platform</b> team. You will play a pivotal role in driving the next generation of AI adoption, moving from passive assistance to <b>agentic automation</b>.</p>
<p>
We are looking for engineers who can navigate modern AI by focusing on <b>token optimization, long-context reasoning</b>, and <b>high-performance RAG pipelines</b>. You will interact directly with business units to transform proprietary datasets into actionable intelligence through the <b>GS AI Assistant</b> and specialized autonomous agents.</p>
<p><b>
Your Responsibilities</b></p>
<ul><li><b>
Agentic System Development:</b> Design and deploy autonomous AI agents capable of independent planning, tool use, and multi-step task execution (e.g., automated research drafting, code migration, and regulatory summarization).</li><li><b>
Platform Engineering: </b>Architect and scale the GS AI Platform, the firm&rsquo;s mission-critical &quot;AI Platform&quot; that provides a secure, multi-model backbone for autonomous agents and high-performance financial workflows.</li><li><b>
Protocol Implementation: Develop and integrate the latest agentic communication standards, including MCP (Model Context Protocol) for tool discovery, A2A (Agent-to-Agent) for multi-agent orchestration, and AGUI/A2UI for generative user interfaces.</b></li><li><b>
Technical Leadership:</b> Lead cross-functional projects to integrate AI into quantitative investment workflows, ensuring systems are reliable, maintainable, and secure.</li><li><b>
AI Governance:</b> Ensure all AI-based software systems adhere to the firm&rsquo;s strict data privacy, ethics, and safety standards.</li></ul>
<p><b>
Required Qualifications:</b></p>
<ul><li>
A master&rsquo;s or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.</li><li>
A minimum of 5 years of experience in the industry that demonstrates your expertise.</li><li>
Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.</li>
Proficiency in contemporary programming languages like Python, C++, or Java.<br>
<li>
</li></ul><p><b>ABOUT GOLDMAN SACHS</b></p>
<p>
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.</p>
<p>
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.</p>
<p>
We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</p>
<div>
<p><b>Salary Range</b><br>
The expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.</p>
<p><b>Benefits</b><br>
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.</p>
</div></div></div></div></div></div></div><div><div><div><div><div><b>
We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Vice President
OFFICE LOCATION(S)
New York
JOB FUNCTION
Software Engineering
DIVISION
Engineering Division</p>

AI Engineering, Vice President (New York, New Jersey, Toronto)

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