Bullpen Capital
Website:
bullpencap.com
Job details:
LinkedIn New York, NY
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role will be based in San Francisco, CA, Sunnyvale, CA, New York, NY, or Chicago, IL
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
The Tech & Analytics team builds the analytical and automation foundation that powers LinkedIn's most important Go-to-Market decisions. We partner across Sales, Customer Success, Marketing, and Engineering to create a unified understanding of GTM performance. Our mission is to transform data into proactive insights and intelligent systems that guide LinkedIn's growth and efficiency.
We're hiring an AI Architect to design, build, and launch AI-powered features inside the business applications our employees use every day. You'll work as a product-minded software builder — turning LLMs, agents, and AI-driven automation into reliable, well-scoped features that meaningfully improve how our internal teams get work done.
This is a hands-on builder role. You'll own features end-to-end: from problem framing and prototyping, through evaluation and rollout, to monitoring in production. You'll partner closely with product managers, data engineers, and platform teams to ship AI capabilities that are ready to support an enterprise sales organization.
Responsibilities
- Define the technical roadmap and architecture for Technology & Product Operations org, including key decisions on frameworks, tooling, and practices. Partner with R&D to build applications leveraging our internal platforms, as well as provide input to R&D on enhancements to our technical platforms and data infrastructure
- Lead the hands-on design, development, and deployment of scalable data products, AI/ML models (e.g., member friction, customer impact, anomaly detection), and GenAI-powered agentic workflows.
- Serve as the subject matter expert on applying modern AI, LLMs, and ML techniques (e.g., RAG, fine-tuning) to solve GTM business problems within Enterprise Applications in partnership with Operations, Data Science and Engineering team
- Design for quality and trust: define evaluation criteria, build active monitoring, implement safe use guardrails, and continuously measure AI feature performance against business outcomes.
- Mentor operations and analytics colleagues on AI tooling and applications, setting a high bar for technical rigor, code quality, and engineering best practices through a lead-by-example approach.
- Operate at scale and in production: instrument features to minimize latency and cost, maximize reliability and accuracy; debug failure modes; iterate based on real usage.
- Collaborate with Product, Engineering, and Data Science teams to operationalize and scale models from prototype to production, ensuring reliability and measurable business impact.
- Translate complex technical concepts and model outputs into clear, concise, and actionable narratives for non-technical stakeholders and senior leadership.
Qualifications
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, OR equivalent practical experience.
- 5+ years of professional software engineering experience building and maintaining production applications.
- 5+ years of experience building or contributing to enterprise or business applications (line-of-business tools, internal platforms, workflow systems, or similar).
- 1+ years of experience with GenAI technologies and frameworks (e.g., LangChain, LLM APIs).
- 1+ years of architecting, building, and deploying machine learning models and/or automated data solutions in production environments.
Preferred Qualifications
- Experience defining and applying AI evaluation strategies, prompt engineering techniques, and safety/guardrail patterns in real systems.
- Strong knowledge of responsible AI practices: handling sensitive data, access control, PII, abuse mitigation, and human-in-the-loop patterns.
- Experience with modern GenAI frameworks and tooling (e.g., LLM APIs, orchestration frameworks, agent frameworks, vector stores, RAG pipelines).
- Experience operating software at scale — designing for reliability, performance, and cost in production.
- Experience with observability, evaluation, and experimentation tooling for AI features (offline evals, online A/B testing, tracing, feedback loops).
- Comfort working across the stack as needed (backend services, APIs, and front-end integration) to deliver a complete user experience.
- Strong product instincts: a sense for what makes an AI feature genuinely useful versus merely impressive.
- Experience with enterprise business applications including Salesforce, Tableau, Gong, and Pigment among others.
Suggested Skills
- Python
- JavaScript
- SQL
- Machine Learning
- Model Development & Deployment
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $141,000 to $231,000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
Reasonable Accommodations Are Modifications Or Adjustments To The Application Or Hiring Process That Would Enable You To Fully Participate In That Process. Examples Of Reasonable Accommodations Include But Are Not Limited To:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Sales
- Industries Technology, Information and Internet
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Responsibilities
- Define the technical roadmap and architecture for Technology & Product Operations org, including key decisions on frameworks, tooling, and practices. Partner with R&D to build applications leveraging our internal platforms, as well as provide input to R&D on enhancements to our technical platforms and data infrastructure
- Lead the hands-on design, development, and deployment of scalable data products, AI/ML models (e.g., member friction, customer impact, anomaly detection), and GenAI-powered agentic workflows.
- Serve as the subject matter expert on applying modern AI, LLMs, and ML techniques (e.g., RAG, fine-tuning) to solve GTM business problems within Enterprise Applications in partnership with Operations, Data Science and Engineering team
- Design for quality and trust: define evaluation criteria, build active monitoring, implement safe use guardrails, and continuously measure AI feature performance against business outcomes.
- Mentor operations and analytics colleagues on AI tooling and applications, setting a high bar for technical rigor, code quality, and engineering best practices through a lead-by-example approach.
- Operate at scale and in production: instrument features to minimize latency and cost, maximize reliability and accuracy; debug failure modes; iterate based on real usage.
- Collaborate with Product, Engineering, and Data Science teams to operationalize and scale models from prototype to production, ensuring reliability and measurable business impact.
- Translate complex technical concepts and model outputs into clear, concise, and actionable narratives for non-technical stakeholders and senior leadership.
Qualifications
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, OR equivalent practical experience.
- 5+ years of professional software engineering experience building and maintaining production applications.
- 5+ years of experience building or contributing to enterprise or business applications (line-of-business tools, internal platforms, workflow systems, or similar).
- 1+ years of experience with GenAI technologies and frameworks (e.g., LangChain, LLM APIs).
- 1+ years of architecting, building, and deploying machine learning models and/or automated data solutions in production environments.
Preferred Qualifications
- Experience defining and applying AI evaluation strategies, prompt engineering techniques, and safety/guardrail patterns in real systems.
- Strong knowledge of responsible AI practices: handling sensitive data, access control, PII, abuse mitigation, and human-in-the-loop patterns.
- Experience with modern GenAI frameworks and tooling (e.g., LLM APIs, orchestration frameworks, agent frameworks, vector stores, RAG pipelines).
- Experience operating software at scale — designing for reliability, performance, and cost in production.
- Experience with observability, evaluation, and experimentation tooling for AI features (offline evals, online A/B testing, tracing, feedback loops).
- Comfort working across the stack as needed (backend services, APIs, and front-end integration) to deliver a complete user experience.
- Strong product instincts: a sense for what makes an AI feature genuinely useful versus merely impressive.
- Experience with enterprise business applications including Salesforce, Tableau, Gong, and Pigment among others.
Suggested Skills
- Python
- JavaScript
- SQL
- Machine Learning
- Model Development & Deployment
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $141,000 to $231,000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Reasonable Accommodations Are Modifications Or Adjustments To The Application Or Hiring Process That Would Enable You To Fully Participate In That Process. Examples Of Reasonable Accommodations Include But Are Not Limited To:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Referrals increase your chances of interviewing at LinkedIn by 2x
See who you know
- AI Solution Architect, YouTube Marketing
AI Solution Architect, YouTube Marketing
Google
New York, NY 3 days ago
- Applied AI Architect, GTM
Applied AI Architect, GTM
Braze
New York, NY 4 days ago
- MarTech AI Solution Architect
MarTech AI Solution Architect
Capgemini
New York, NY $150,000 - $175,000 15 hours ago
- Senior AI Marketing Solutions Architect, Growth AI Transformation
Senior AI Marketing Solutions Architect, Growth AI Transformation
Google
New York, NY 5 days ago
- AI Strategy and Implementation Lead
AI Strategy and Implementation Lead
Verizon
New York, NY 3 days ago
- Solutions Architect, Business Agents
Solutions Architect, Business Agents
Meta
New York, NY $130,000 - $185,000 1 week ago
- Technical Architect - Business Applications
Technical Architect - Business Applications
Roku
New York, NY 2 days ago
- Manager/Senior Manager, AI Solutions Architect
Manager/Senior Manager, AI Solutions Architect
Salesforce
New York, NY 2 weeks ago
- Forward Deployed AI Accelerator
Forward Deployed AI Accelerator
Braze
New York, NY 2 weeks ago
- Enterprise Application AI Architect
Enterprise Application AI Architect
Gusto
New York, NY 1 week ago
- Solutions Architect- North America
Solutions Architect- North America
Lyzr AI
Jersey City, NJ 3 months ago
Solutions Architect
Meta
New York, NY
$152,000.00
$214,000.00
1 week ago
- Pre-Sales Data and AI Architect - Solution Engineering (United States)
Pre-Sales Data and AI Architect - Solution Engineering (United States)
Salesforce
New York, NY 1 week ago
- Manager of Artificial Intelligence
Manager of Artificial Intelligence
Photon
New York City Metropolitan Area 5 days ago
- BCG Platinion | Lead AI Tech Architect - AI Platforms
BCG Platinion | Lead AI Tech Architect - AI Platforms
Boston Consulting Group (BCG)
Brooklyn, NY 3 days ago
- BCG Platinion | Principal AI Tech Architect - AI Platforms
BCG Platinion | Principal AI Tech Architect - AI Platforms
Boston Consulting Group (BCG)
Brooklyn, NY 3 days ago
AI & Data Architect
The Carlyle Group
New York, NY 3 days ago
AI Solutions Architect
TheGuarantors
New York, NY 1 month ago
Senior AI Architect
Nexstar Media Group, Inc.
New York, NY 1 week ago
AI Change Architect
BIP
New York City Metropolitan Area
$130,000.00
$180,000.00
2 days ago
AI Solution Architect
Shelf
New York, NY 3 weeks ago
- Applied AI Architect, Commercial
Applied AI Architect, Commercial
Anthropic
New York, NY 2 weeks ago
- Agentic AI Architect - Intelligence Engineering (East)
Agentic AI Architect - Intelligence Engineering (East)
Slalom
New York, NY 3 weeks ago
Solution Architect
Baseten
New York, NY
$165,000.00
$330,000.00
1 day ago
- Solutions architect (East)
Solutions architect (East)
WRITER
New York, NY
$183,000.00
$273,000.00
2 months ago
- Applied AI Architect, Enterprise Tech
Applied AI Architect, Enterprise Tech
Anthropic
New York, NY 2 weeks ago
- Asst Dir-AI Eng- Partnerships
Asst Dir-AI Eng- Partnerships
Moody's Corporation
New York, NY 2 weeks ago
AI Solution Architect
SR2 | Socially Responsible Recruitment | Certified B Corporation™
New York, NY $200,000 - $250,000 3 days ago
- Solution Architect (AI/LLM Inference)
Solution Architect (AI/LLM Inference)
Baseten
New York, NY $165,000 - $330,000 2 months ago
Solutions Architect
Lirvana Labs
New York, NY $90,000 - $175,000 2 weeks ago
- AI/ML application architect
AI/ML application architect
Service Business Ai
New York, NY 2 weeks ago
Applied AI Lead
Alternative Payments
New York, NY 2 months ago
AI Solution Architect
EisnerAmper
Iselin, NJ 2 weeks ago
AI Architect
ADPMN Inc
New York, NY 1 year ago
- AI Marketing Technologist Lead
AI Marketing Technologist Lead
Plaid
New York City Metropolitan Area $170,400 - $223,200 4 hours ago
- Enterprise AI Solutions Engineer
Enterprise AI Solutions Engineer
Alvarez & Marsal
New York, NY 1 week ago
Staff Software Engineer
Harmonic
New York, NY 4 months ago
35,063 open jobs
17,370 open jobs
43,840 open jobs
- Salesforce Consultant jobs
7,116 open jobs
64,460 open jobs
121,688 open jobs
92,786 open jobs
100,488 open jobs
26,812 open jobs
146,015 open jobs
- Production Engineering Manager jobs
13,930 open jobs
- Javascript Developer jobs
35,575 open jobs
4,872 open jobs
189,125 open jobs
11,509 open jobs
- Enterprise Architect jobs
31,039 open jobs
- Assistant Project Manager jobs
39,510 open jobs
38,546 open jobs
- Architecture Manager jobs
135,230 open jobs
- Chief Enterprise Architect jobs
1,081 open jobs
48,798 open jobs
- Solutions Consultant jobs
62,819 open jobs
68,774 open jobs
214,024 open jobs
264,508 open jobs
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content
- SnapLogic jobs
- Senior Architect jobs
- Design Coordinator jobs
- Principal Architect jobs
- Salesforce Consultant jobs
- Business Architect jobs
- Architect jobs
- Modeler jobs
- Solutions Architect jobs
- Mixpanel jobs
- Site Supervisor jobs
- Software Architect jobs
- Production Engineering Manager jobs
- ICON plc jobs
- LinkedIn jobs
- AllCloud jobs
- Javascript Developer jobs
- Guidewire Software jobs
- Junior Architect jobs
- Design Manager jobs
- Head of Software jobs
- Enterprise Architect jobs
- Assistant Project Manager jobs
- Salesforce jobs
- Experian jobs
- Luxoft jobs
- Full Stack Engineer jobs
- Architecture Manager jobs
- Chief Enterprise Architect jobs
- Databricks jobs
- Pharmacist jobs
- Solutions Consultant jobs
- Data Architect jobs
- Technical Lead jobs
- Coinbase jobs
- Customer Engineer jobs
- Developer jobs
- Lead Architect jobs
- Engineering Manager jobs
- Consultant jobs
- Genpact jobs
- Technology Strategist jobs
- Infrastructure Manager jobs
- Accenture jobs
- Supervisor jobs
- Siemens jobs
- Abnormal AI jobs
- Project Architect jobs
- Axon jobs
- Capital One jobs
- IBM jobs
- Infosys jobs
- Gusto jobs
- Engineer jobs
- Asana jobs
- Juniper Networks jobs
- Slack jobs
- Chief Architect jobs
- Epic Games jobs
- Lyft jobs
Click on Apply to know more.