enterprise ai engineer

University of Virginia

<div></div><div><div><div><div>Location</div>
 <div></div>Charlottesville, Virginia, United States of America
 </div></div><div></div><div><div>The Rector &amp; Visitors of the University of Virginia
</div></div><div><div><div>Job Id</div>
 <div></div>R0082323</div></div></div>
<br><p></p><div><div><b>Department Overview</b></div><p>
UVA Information Technology Services (ITS) does more than support the UVA community &mdash; we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.</p><div><b>
Position Summary</b></div><p>
UVA Information Technology Services is seeking an AI Platform Engineer to help build, integrate, and support enterprise AI services for the University.</p><p>
This role is focused on turning AI capabilities into real services people can use. The engineer in this position will help design and operate secure, scalable, and supportable AI platform offerings that fit into the way UVA works. That includes identity and access, automation, governance, cloud integration, operational readiness, and user enablement.</p><p>
The AI Platform Engineer will work across public cloud platforms, enterprise applications, and emerging AI products to move new capabilities from pilot to production. This role partners closely with teams across enterprise infrastructure, security, identity, ITSM, and other ITS and University stakeholders.</p><p></p><p><b>
This is a 2 year limited role contingent on funding
</b></p><p></p><div><b>Responsibilities</b></div><ul><li>
Design, implement, support, and improve enterprise AI platforms and services</li><li>
Build and maintain the technical foundations for AI services, including access, provisioning, automation, logging, monitoring, and operational readiness</li><li>
Support AI-related engineering across UVA&rsquo;s cloud and enterprise technology environments</li><li>
Develop reusable patterns for onboarding, integration, access control, lifecycle management, and service delivery</li><li>
Build automation and infrastructure-as-code to improve consistency and scale</li><li>
Support evaluation, pilot, rollout, and ongoing operations for AI platform capabilities and integrations</li><li>
Produce technical documentation, runbooks, knowledge articles, and reference materials</li></ul><div><b>
Minimum Qualifications</b></div><p><b>
Education:</b><br>
Bachelor&rsquo;s degree in computer science, information systems, engineering, or a related field, or equivalent combination of education and experience</p><p><b>
Experience:</b></p><ul><li>
Demonstrated hands-on experience using large language models (LLMs) and generative AI platforms in technical, engineering, or operational work</li><li>
Experience implementing, integrating, supporting, or evaluating generative AI services in a production, pilot, or enterprise setting</li><li>
Experience with one or more AI platforms or services such as Microsoft Copilot Studio, Azure OpenAI, Azure AI services, Amazon Bedrock, Google AI services, OpenAI enterprise offerings, Anthropic/Claude, AI gateways, or similar technologies</li><li>
Experience with AI-related APIs, prompt-driven workflows, orchestration patterns, or platform integrations</li><li>
Experience supporting enterprise platforms, infrastructure, or cloud services in production environments</li><li>
Experience with one or more public cloud platforms such as Microsoft Azure, AWS, or GCP</li><li>
Experience with enterprise identity, authentication, access management, directory integration, or single sign-on</li><li>
Experience with scripting, automation, or infrastructure-as-code using tools such as Python, PowerShell, Bash, Terraform, Bicep, or similar technologies</li><li>
Strong troubleshooting, documentation, and cross-team collaboration skills</li></ul><p><b>
Licensure/Certification:</b><br>
None required</p><div><b>
Preferred Qualifications</b></div><p><b>
Education:</b><br>
Advanced degree in a related field preferred</p><p><b>
Experience:</b></p><ul><li>
Experience with shared-service delivery, platform operations, or service onboarding in a large and complex organization</li><li>
Experience integrating SaaS or enterprise applications, including app registration, enterprise app onboarding, SCIM, SSO, admin consent, or API-based integration</li><li>
Experience supporting developer enablement or AI-assisted engineering workflows</li><li>
Familiarity with higher education technology environments</li><li>
Experience balancing innovation with governance, operational maturity, and long-term supportability</li></ul><p><b>
Licensure/Certification:</b><br>
Relevant cloud or AI certifications preferred</p><div><b>
Physical Demands</b></div><p>
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.</p><div><b>
Salary Range</b></div><p>
$130,000-140,000</p><div><b>
Position Type &amp; Work Location</b></div><p>
Full-time, benefited position. Work location may be hybrid or remote in accordance with University policy and department needs.</p><div><b>
About UVA and the Community</b></div><p>
The University of Virginia, founded by Thomas Jefferson, is a premier public institution recognized for its commitment to excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community, rich history, and outstanding quality of life.</p><div><b>
Application Timeline</b></div><p>
Applications will be reviewed as received.</p><div><b>
Additional Requirements</b></div><p>
This position will not sponsor applicants for work visas. A background check will be conducted on the finalist.</p><p><b>
How to Apply</b></p><p>
Please apply online through Online and search for<b> R0082323</b>. Complete the application and upload the following <b>required</b> materials:</p><p><i>
Internal applicants may search and apply for jobs on the </i>UVA Internal Careers website<i>.</i></p><ul><li><p>
Cover letter</p></li><li><p>
Resume</p></li></ul><p><b>
Please note that multiple documents can be uploaded in the &ldquo;Resume&rdquo; box.</b> Applications that do not contain all required documents will not receive full consideration.</p><div><b>
Reference Check Process</b></div><p>
Reference checks will be completed via UVA&rsquo;s standardized process, which may include SkillSurvey.</p><div><b>
Contact</b></div><p>
For questions about this position, please contact Bill Crane at Xer5ff@virginia.edu</p><p></p><p><i>
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about </i><i>UVA&rsquo;s commitment to non-discrimination and equal opportunity employment</i><i>.</i></p></div>
<br><div><div><div><div><p><b>Company</b></p>
The Rector &amp; Visitors of the University of Virginia
</div></div></div><div><div><div><p><b>Hiring Type</b></p>
Full time</div></div></div></div>

AI Platform Engineer

Flatgigs

<div>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 <br/>
 <br/>
 The work is hands-on and client-facing:
 <br/>
 <br/>
 <ul>
  <li>
   Understand operational workflows and convert them into technical artifacts
  </li>
  <li>
   Connect to real enterprise systems and data sources
  </li>
  <li>
   Build context-aware AI agents, retrieval systems, and automation prototypes
  </li>
  <li>
   Help move the best prototypes toward reliable production deployments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Build context graphs.
 </strong>
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 <br/>
 <br/>
 <strong>
  Develop AI and agentic workflows.
 </strong>
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 <br/>
 <br/>
 <strong>
  Connect to enterprise systems
 </strong>
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 <br/>
 <br/>
 <strong>
  Prototype automation opportunities.
 </strong>
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 <br/>
 <br/>
 <strong>
  Turn messy business problems into software.
 </strong>
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 <br/>
 <br/>
 <strong>
  Support production deployments.
 </strong>
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 <br/>
 <br/>
 <strong>
  Ideal Candidate
  <br/>
  <br/>
 </strong>
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 <br/>
 <br/>
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 <br/>
 <br/>
 <strong>
  Technical Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Python fundamentals
  </li>
  <li>
   Basic backend development experience
  </li>
  <li>
   Familiarity with APIs, databases, and cloud services
  </li>
  <li>
   Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
  </li>
  <li>
   Familiarity with data pipelines and messy real-world datasets
  </li>
  <li>
   Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
  </li>
  <li>
   AWS experience is a plus
  </li>
  <li>
   Experience with enterprise data, analytics, or workflow automation is a strong plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes Someone Successful In This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You like figuring out how businesses actually operate
  </li>
  <li>
   You are comfortable working with incomplete, messy, or poorly documented data
  </li>
  <li>
   You can move quickly from vague requirements to a working prototype
  </li>
  <li>
   You care about building useful systems, not just impressive demos
  </li>
  <li>
   You communicate clearly with both engineers and non-technical stakeholders
  </li>
  <li>
   You are curious about how AI agents can interact with real tools, data, and workflows
  </li>
  <li>
   You want to learn how to deploy AI into real enterprise environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Is Interesting
  <br/>
  <br/>
 </strong>
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 <br/>
 <br/>
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>


Forward Deployed AI Engineer

Pond & Company

Ready to turn your ambition into achievement? Join Pond & Company and be part of the team that’s redefining the future of Architectural, Engineering, Planning, Construction Management, and Environmental projects!
<br><br>
AI Engineer – Enterprise Applications
<br>Position Overview
<br>Pond is seeking an AI Engineer to support the design and deployment of AI-enabled applications that enhance our technical and business operations. This role focuses on implementing modern AI capabilities within enterprise systems and contributing to scalable solutions that improve knowledge access, digital workflows, and operational effectiveness.
<br>The ideal candidate brings strong software engineering fundamentals and hands-on experience working with AI technologies in production or near-production environments. Experience within architecture, engineering, construction (AEC), or similarly technical industries is a plus.
<br><br>
Key Responsibilities
<br><ul>
<li>Develop & Implement: Build and maintain AI-enabled enterprise applications under the guidance of senior engineers and technical leadership.</li>
<li>Integrate AI Services: Implement integrations with large language model (LLM) APIs and related AI services within internal tools and workflows.</li>
<li>Support RAG Systems: Contribute to the development and optimization of retrieval-augmented generation (RAG) systems using structured and unstructured enterprise data.</li>
<li>Translate Requirements: Collaborate with cross-functional stakeholders to translate defined business and technical requirements into reliable AI-driven features and enhancements.</li>
<li>Ensure Quality & Compliance: Follow established governance, security, and performance standards to ensure AI implementations are reliable and compliant.</li>
<li>Collaborate Cross-Functionally: Work closely with software engineers, operational leaders, and AEC domain experts to support execution of Pond’s enterprise AI initiatives.</li>
</ul>
Required Qualifications
<br><ul>
<li>3+ years of professional software engineering experience.</li>
<li>Proficiency in Python and/or C#, with experience integrating APIs and external services.</li>
<li>Hands-on experience working with LLM APIs or similar AI technologies in application development.</li>
<li>Solid understanding of application architecture, system design principles, and secure development practices.</li>
<li>Strong problem-solving skills and the ability to communicate technical concepts clearly to cross-functional stakeholders.</li>
</ul>
Desired Additional Experience
<br><ul>
<li>Experience within architecture, engineering, construction (AEC), or other technically complex industries.</li>
<li>Exposure to RAG systems, vector databases, or multi-source enterprise data environments.</li>
<li>Familiarity with enterprise data governance, security best practices, and compliance considerations related to AI solutions.</li>
</ul>
All Pond & Company positions require participation in at least one in-person interview as part of our hiring process, and most roles also require in-person onboarding at a Pond office location; candidates should expect to meet directly with our team and should be cautious of any communication suggesting otherwise.
<br>About Pond
<br>Pond is an award-winning, full-service architecture, engineering, planning, construction management, and environmental services firm providing professional solutions to clients throughout the U.S. and globally for nearly 60 years. Pond’s staff of 800+ professionals provide a deep bench strength of experience and capabilities to offer customized solutions that help clients manage projects from concept to completion – and everything in between – with confidence and clarity. Pond is currently ranked as the 80th largest engineering and design firm by ENR, Atlanta’s #1 engineering firm by Atlanta Business Chronicle, and has been recognized as an Employer of the Year by Georgia ACEC and a Best Place to Work for Working Parents.
<br><br>
Additional Information
<br>Many factors are considered when determining compensation at Pond, including scope and level of position, geographic location, candidate skill, knowledge and experience. Starting base pay may vary depending on these factors. Please see the hiring range associated with this posting for more information.
<br>Additional cash incentives may be provided as part of the compensation package, in addition to a range of medical, financial and/or other benefits dependent on position offered. Learn more about Pond’s comprehensive benefits offerings here.
<br>All offers of employment made by Pond & Company are contingent upon satisfactory background check results. Pre-employment background checks will be conducted on all candidates that are offered a position at Pond in compliance with program policy as well as state and federal regulations. Additionally, offers may be contingent upon the successful completion of a pre-employment drug and alcohol test.
<br><br>
Equal Opportunity Employer
<br>We are an equal opportunity and affirmative action employer that recognizes the value of diversity and inclusion in the workplace. Employment decisions at Pond are based on business needs, job requirements and individual qualifications. All suitably qualified applicants will receive consideration for employment. We prohibit discrimination and harassment of any kind based on race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state and local laws in jurisdictions where we operate. If you need assistance or an accommodation due to a disability, you may contact us at hrdepartment@pondco.com.
<br><br>
Apply for this position at careers.pondco.com.We are always looking for driven professionals of all disciplines to join our fast-growing company. For more information on our services, clientele, or employment opportunities, visit our website at www.pondco.com.
<br><br>
Should you run into any issues in completing the application, please reach out to recruiters@pondco.com for assistance.

AI Engineer - Information Technology

The Vertex Companies LLC

<div><p><b>Description</b>
</p><p></p><h2 class="jobSectionHeader"><b>Company Description</b></h2><p><br>
The Vertex Companies, LLC (VERTEX) is a global $150M professional services firm that offers integrated forensic consulting, expert witness services, construction project advisory, and compliance and regulatory consulting to a myriad of markets and industries. Our brand purpose is to better outcomes for our clients, colleagues, and communities. Join us if you are looking for a career that offers you a chance to love what you do, continuously learn, and take pride in your work.</p><p></p><h2 class="jobSectionHeader"><b><br>
Job Description</b></h2><p><br>
Vertex is looking for a hands-on AI Engineer who wants to be part of a team to design and build an enterprise-grade AI platform from scratch, integrating enterprise systems, solving real problems, and delivering measurable outcomes. You&rsquo;ll work directly with the CTO to define, architect, and deploy AI solutions that transform how the business operates, from intelligent automation to agentic workflows. This is not a maintenance role, it is a ground-up build opportunity. If you&rsquo;re excited about real-world AI use cases (not just experiments), this is your opportunity.</p><br>
<h2 class="jobSectionHeader"><b>
Core Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
Work Product Creation, Project Management, Coordination with Team Members</b></h3><ul><li>
Design and implement scalable AI solutions tailored to real business problems, not prototypes that sit on the shelf.</li><li>
Evaluate and architect build vs. buy vs. hybrid AI strategies across platforms like OpenAI, Azure OpenAI, Claude, Glean, Microsoft Copilot, Box AI, Google Vertex AI, AWS Bedrock, Databricks, Hugging Face, and more.</li><li>
Build the enterprise AI architecture, including data pipelines, orchestration layers, and model integration.</li><li>
Build RAG-based systems, intelligent agents, automation and multi-step AI workflows.</li><li>
Design and implement MCP server integrations to unify enterprise data sources.</li><li>
Develop orchestration layers to coordinate LLMs, APIs, tools, and workflows.</li><li>
Implement semantic search, vector indexing, and knowledge retrieval systems.</li><li>
Automate business processes using AI-driven decisioning and workflows.</li><li>
Connect AI systems with platforms like Salesforce, Workday, ERP systems, Egnyte, Box, and other enterprise systems.</li><li>
Build robust API integrations and data pipelines to enable real-time AI use cases.</li><li>
Ensure seamless data accessibility across structured and unstructured sources.</li><li>
Integrate enterprise systems via API and MCP to unify data sets for AI applications, ensuring seamless connectivity and data accessibility across platforms.</li><li>
Evaluate model performance, accuracy, and hallucination risks.</li><li>
Build testing frameworks, benchmarks, and validation pipelines.</li><li>
Continuously improve output based on real user feedback and usage patterns.</li><li>
Work with cloud platforms (Azure, AWS, or GCP) to deploy scalable AI solutions.</li><li>
Ensure AI systems comply with SOC 2, GDPR, HIPAA and Company security policies.</li><li>
Translate business problems into AI-driven solutions with measurable ROI.</li><li>
Deliver improvements in efficiency, automation, and decision-making.</li><li>
Rapidly prototype, iterate, and productionize solutions that scale.</li></ul><p><br>
</p><h2 class="jobSectionHeader"><b>Qualifications &amp; Competencies</b></h2><ul><li>
Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.<ul><li>
4+ years of experience in AI engineering</li><li>
8+ years of overall experience in software engineering, architecture, data engineering and machine learning.</li></ul></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Knowledge &amp; Skills</b></h3><ul><li>
Hands-on experience with:<ul><li>
Python</li><li>
LLMs (OpenAI, Azure OpenAI, Claude, Gemeni, etc.)</li><li>
Vector databases</li><li>
Cloud platforms (Azure preferred; AWS or GCP acceptable)</li><li>
Prompt Engineering</li><li>
RAG, MCP, Indexing and integrations</li></ul></li><li>
Experience building AI solutions from ground up in self-hosted, custom LLMs, hybrid or off he shelfs solutions.</li><li>
Preferred experience in:<ul><li>
Enterprise AI implementations</li><li>
Document processing and knowledge systems</li><li>
Data pipelines and ETL</li><li>
MLOps / AI platform engineering</li><li>
Familiarity with Salesforce, Workday, or ERP integrations</li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Additional Information</b></h2><br>
At VERTEX, we invest in top talent with a highly competitive total compensation package designed to reward performance and support long-term success. Total compensation includes a base salary and a performance-based discretionary bonus program. Our comprehensive benefits package offers multiple healthcare and dental plan options, as well as company-paid Life Insurance, Short-Term Disability, and Long-Term Disability coverage&mdash;ensuring peace of mind for you and your family.<br>
<br>
We offer a 401(k) plan with immediate matching and full vesting, empowering employees to build financial security from day one. Additional benefits include Flexible Spending Accounts, a robust Employee Assistance Program, and a suite of exclusive perks that enhance everyday life.<br>
<br>
At The Vertex Companies, our salary ranges are intentionally designed to support meaningful career growth over time. These ranges allow employees to develop, expand their impact, and increase their earnings as they progress within their job level. A new hire&rsquo;s starting compensation is determined by their experience, geographical location, scope of the role at the time of hire, and Company affordability. Our ranges are structured to reward growth and performance, ensuring there is room for advancement and long-term opportunity.<br>
<br>
The salary ranges for this role are as follows:<br>
<br>
$109,000 - $299,000 USD annually (Geographical Tier AA - Sample Locations: NY Metro, San Franscisco, San Jose, Seattle)<br>
$101,000 - $276,000 USD annually (Geographical Tier A - Sample Locations: Irvine CA, Middlesex NJ, Tacoma WA, Boston, Alexandria)<br>
$92,000 - $253,000 USD annually (Geographical Tier B - Sample Locations - Baltimore, Chicago, Anchorage, Portland)<br>
$84,000 - $230,000 USD annually (Geographical Tier C - Sample Locations - Atlanta, Charlotte, Cincinnati, Miami)<br>
$80,000 - $219,000 USD annually (Geographical Tier D - Sample Locations - Mississippi, Mobile AL, Bowling Green KY, Tulsa)<br>
<br>
Time away matters&mdash;so we provide a generous paid time off program, including vacation, sick time, and paid holidays (with prorated options for eligible part-time employees).<br>
<br>
At VERTEX, growth never stops. Our signature &ldquo;Lifetime of Learning&rdquo; program offers tuition reimbursement and personalized support for employees pursuing advanced education&mdash;helping you sharpen your skills and accelerate your career.<br>
<h3 class="jobSectionHeader"><b>
Notice to Third Party Agencies:</b></h3><p><br>
Please note that The Vertex Companies employs a fully staffed recruiting team. We do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Agreement, VERTEX will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, VERTEX explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of VERTEX.</p></div>

AI Engineer

Cognition

<div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2><p>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p><p>
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p><p>
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition&rsquo;s revenue growth and Devin&rsquo;s development.</p><p>
You&rsquo;ll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups.</p><p>
Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment.</p><p><b>
In this role, you will:</b></p><ul><li><p>
Drive revenue for Cognition, owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies</p></li><li><p>
Navigate layered customer organizations including working directly with C-suite executives, Tech and AI leaders, procurement and legal stakeholders</p></li><li><p>
Develop strategies for sourcing, demoing the product, and closing opportunities with layered buying organizations</p></li><li><p>
Deeply understand the customer&rsquo;s technical pain points and priorities, and qualify the best use cases and teams to deploy Devin to large technology organizations</p></li><li><p>
Discover new use cases in our customers&rsquo; Tech organizations and overshare customer feedback with our product and engineering teams</p></li><li><p>
Focus on results - generate pipeline, revenue, and help build the best technical sales organization to bring Devin to market</p></li></ul><p><b>
Requirements for the role:</b></p><ul><li><p>
Demonstrate a track record of success selling deeply technical products to enterprise customers</p></li><li><p>
You have technical experience - either as a software engineer, sales engineer or forward deployed engineer. If not, you have an exceptional ability to learn and understand the complex technical problems and requirements our customers are trying to solve using Devin</p></li><li><p>
Thrive in ambiguous and rapidly changing environments &mdash; you&rsquo;re willing to move fast and quickly grow in scope and responsibility</p></li><li><p>
You have a demonstrated exceptional ability to learn</p></li></ul><p><b>
You might excel if you&hellip;</b></p><ul><li><p>
previously founded a startup</p></li><li><p>
successfully sourced and closed large, complex enterprise software deals
</p></li><li><p>were a software engineer or sales engineer, or studied computer science, but moved into go-to market roles to be closer to the customer</p></li><li><p>
are a competitive, highly ambitious person who loves working in high-intensity environments</p></li></ul><h2 class="jobSectionHeader"><b>
Equal Opportunity</b></h2><p>
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div>

Account Director - MENA

Cognition AI

<div><div><p>Location</p><div>
Riyadh</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div><div>
Sales</div><p>
Account Director</p></div></div></div>
<br><div><div><div><b>We are an applied AI lab building end-to-end software agents.</b></div><p>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p><p>
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p><p>
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p><p></p><p><b>
About the Role</b></p><p>
As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition&rsquo;s revenue growth and Devin&rsquo;s development.</p><p>
You&rsquo;ll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups.</p><p>
Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment.</p><p><b>
In this role, you will:</b></p><ul><li><div>
Drive revenue for Cognition, owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies</div></li><li><div>
Navigate layered customer organizations including working directly with C-suite executives, Tech and AI leaders, procurement and legal stakeholders</div></li><li><div>
Develop strategies for sourcing, demoing the product, and closing opportunities with layered buying organizations</div></li><li><div>
Deeply understand the customer&rsquo;s technical pain points and priorities, and qualify the best use cases and teams to deploy Devin to large technology organizations</div></li><li><div>
Discover new use cases in our customers&rsquo; Tech organizations and overshare customer feedback with our product and engineering teams</div></li><li><div>
Focus on results - generate pipeline, revenue, and help build the best technical sales organization to bring Devin to market</div></li></ul><p><b>
Requirements for the role:</b></p><ul><li><div>
Demonstrate a track record of success selling deeply technical products to enterprise customers</div></li><li><div>
You have technical experience - either as a software engineer, sales engineer or forward deployed engineer. If not, you have an exceptional ability to learn and understand the complex technical problems and requirements our customers are trying to solve using Devin</div></li><li><div>
Thrive in ambiguous and rapidly changing environments &mdash; you&rsquo;re willing to move fast and quickly grow in scope and responsibility</div></li><li><div>
You have a demonstrated exceptional ability to learn</div></li></ul><p><b>
You might excel if you&hellip;</b></p><ul><li><div>
previously founded a startup</div></li><li><div>
successfully sourced and closed large, complex enterprise software deals
</div></li><li><div>were a software engineer or sales engineer, or studied computer science, but moved into go-to market roles to be closer to the customer</div></li><li><div>
are a competitive, highly ambitious person who loves working in high-intensity environments</div></li></ul><p>
Equal Opportunity</p><p>
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div></div><p></p>

The Home Depot

<div><p><b>Position Purpose:</b></p><div><p>
The Cybersecurity Principal Engineer, AI Identity (Non‑Human Identity) is a senior, hands‑on technical leader within The Home Depot Cybersecurity Architecture &amp; Innovation team. This role provides enterprise‑wide thought leadership and architectural direction for Identity and Access Management (IAM) with a specialized focus on AI, agentic AI, and Non‑Human Identity (NHI).</p><p></p><p>
The Principal Engineer serves as a recognized company and industry expert, combining deep IAM expertise with a broad understanding of cybersecurity, cloud, and modern enterprise technologies. The role operates in a horizontal capacity, supporting and guiding multiple cybersecurity and technology functions through solution design, evaluation, prototyping, documentation, and operationalization.</p><p></p><p>
This position plays a critical role in shaping Home Depot&rsquo;s AI identity strategy and maturity, defining the foundational IAM architecture and technology enablement stack required to securely support AI workloads, services, and autonomous agents. The Principal Engineer partners closely with cybersecurity, engineering, architecture, and operations teams to ensure identity solutions are scalable, secure, and aligned to both current and future‑state enterprise architecture.</p></div><p><b><br>
Key Responsibilities:</b></p><ul><li>
100% Deliver Execution, Plans &amp; Aligns - Review, analyze, identify, and provide solutions to mitigate potential security control gaps enterprise wide; Collaborate across teams to reduce vulnerabilities, risks, and incident management; Partner with engineers, technology, and business partners to implement and maintain a secure environment</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Distinguished Engineer</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><div><ul><li>
Extensive enterprise experience in Identity and Access Management (IAM), including identity provisioning, authentication, and authorization.</li><li>
Hands‑on experience with Non‑Human Identity (NHI), such as service accounts, workload identities, or machine identities</li><li>
Proven ability to independently evaluate, design, and prototype complex security or identity solutions</li><li>
Experience working within large, highly integrated enterprise technology environments</li><li>
Strong understanding of core cybersecurity concepts, including authentication/authorization, encryption, segmentation, and secure system design</li><li>
Broad technical knowledge across cloud, compute, networking, databases, and application development</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or equivalent) and cloud‑native identity patterns</li><li>
Proficiency in at least one programming or scripting language used for prototyping, automation, or integration</li><li>
Ability to produce clear technical documentation, including architecture artifacts and design decisions</li><li>
Strong collaboration skills and the ability to provide technical guidance across cross‑functional teams</li></ul></div><p></p><p><b><br>
Preferred Qualifications:</b></p><div><ul><li>
Demonstrated experience applying IAM concepts to AI, agentic AI, and emerging AI technology patterns</li><li>
Experience designing or supporting identity strategies for AI workloads, services, or autonomous agents</li><li>
Proven experience developing holistic reference architectures, roadmaps, and future‑state designs</li><li>
Familiarity with Zero Trust principles and modern identity‑centric security architectures</li><li>
Experience guiding engineering and operations teams through operationalization and technology handoff</li><li>
Knowledge of industry cybersecurity frameworks and standards (e.g., NIST or similar)</li><li>
Experience conducting technology evaluations, proofs of concept, and capability assessments</li><li>
Ability to represent IAM or security architecture in cross‑functional design and innovation forums</li><li>
Demonstrated success operating independently in fast‑moving, evolving technology initiatives</li></ul></div><p><br>
</p><p><b>Minimum Education:</b></p><ul><li>
The knowledge, skills, and abilities are typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Decision Quality</li><li>
Plans and Aligns</li><li>
Develops Talent</li><li>
Manages Conflict</li></ul></div><p></p>

Cybersecurity Principal, AI Identity (REMOTE)

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Cybersecurity Principal, AI Identity (REMOTE)