operations ai engineer

The Que Studio

<p><b>Job Title: AI Content &amp; Prompt Engineer</b></p><p>We are looking for a smart, creative, and forward-thinking AI Content &amp; Prompt Engineer to join our growing team. The ideal candidate will be responsible for using artificial intelligence tools to improve productivity, create high-quality content, automate workflows, and develop effective prompts that support marketing, sales, operations, and brand growth.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and optimize prompts for AI tools such as OpenAI ChatGPT and other platforms</li><li>Create marketing content, captions, proposals, sales replies, and internal documents using AI tools</li><li>Build AI systems to improve workflow efficiency and team productivity</li><li>Research and implement new AI tools relevant to the business</li><li>Assist in automating repetitive tasks and communication processes</li><li>Train team members on effective AI usage and best practices</li><li>Review AI-generated outputs for quality, accuracy, and brand tone</li><li>Support management with innovation ideas and digital transformation initiatives</li></ul><p><b>Requirements:</b></p><ul><li>Strong understanding of AI tools, prompt writing, and automation workflows</li><li>Excellent writing and communication skills in Arabic and English preferred</li><li>Creative thinking with strong problem-solving ability</li><li>Organized, proactive, and results-driven mindset</li><li>Ability to adapt quickly to new technologies</li><li>Experience in marketing, operations, content creation, or business systems is a plus</li><li>Basic knowledge of no-code tools and integrations is an advantage</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary based on experience</li><li>Opportunity to work on innovative and future-focused projects</li><li>Career growth opportunities</li><li>Dynamic and ambitious work environment</li></ul><p>If you are passionate about AI, innovation, and creating smarter business systems, we would love to hear from you.</p><p>Pay: From KD450.000 per month</p><p>Work Location: In person</p>

Prompt Enginner AI

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.</p><p><b>
What we are building &mdash; now:</b></p><ul><li><p>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</p></li><li><p>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</p></li><li><p>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</p></li><li><p>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</p></li><li><p>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</p></li><li><p>
AI-enabled situational awareness and crisis management systems</p></li><li><p>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing</p><p>
governance operations the organization requires</p></li></ul><p><b>
How we work:</b></p><ul><li><p>
Small team, high ownership &mdash; every engineer owns a module end-to-end</p></li><li><p>
Two-week sprints with demonstrated output at every review</p></li><li><p>
Ship and improve &mdash; working systems beat perfect designs</p></li><li><p>
Core team owns all architecture and product decisions; external capacity executes within defined scope</p></li><li><p>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</p></li><li><p>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</p></li><li><p>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</p></li></ul>
</div><div><p>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.</p><p><b>
Mission</b></p><p>
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.</p><p>
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.</p><p><b>
What This Role Owns</b></p><ul><li><p>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</p></li><li><p>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</p></li><li><p>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</p></li><li><p>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</p></li><li><p>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</p></li><li><p>
Prompt versioning: templates in configuration, editable without code changes</p></li><li><p>
Observability: every LLM call logged with input hash, model version, output, latency, token count</p></li><li><p>
Fallback logic: graceful degradation when LLM APIs are unavailable</p></li><li><p>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</p></li></ul><p><b>
Key Decisions</b></p><ul><li><p>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</p></li><li><p>
Confidence threshold tuning based on evaluation results</p></li><li><p>
Context window packing &mdash; what data fits within token budgets</p></li><li><p>
Fallback behavior when APIs degrade</p></li><li><p>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</p></li><li><p>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</p></li></ul><p><b>
Does Not Do</b></p><ul><li><p>
Define AI architecture or agent design patterns (Principal AI Engineer)</p></li><li><p>
Build the agentic platform itself (external partner)</p></li><li><p>
Build the backend API or data pipelines</p></li><li><p>
Fine-tune or train models</p></li><li><p>
Define governance policies (Governance Lead)</p></li></ul><p><b>
Ideal Candidate</b></p><p>
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.</p>
</div><div><ul><li><p>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</p></li><li><p>
Prompt engineering for classification &mdash; zero-shot and few-shot</p></li><li><p>
Python &mdash; async API calls, retry logic, exponential backoff</p></li><li><p>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</p></li><li><p>
Structured output &mdash; JSON schema enforcement, Pydantic validation</p></li><li><p>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</p></li><li><p>
Token budgeting and context window management</p></li><li><p>
AI observability &mdash; output quality monitoring, anomaly detection</p></li><li><p>
FastAPI and Docker</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Python
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

AI Engineer

Blue Matter

<div><p>Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations.</p><p>
Blue Matter is hiring for the <b>Technology and Operations Practice within the Blue Matter Insights Team</b>. Our Technology &amp; Operations practice integrates <b>strategy, data, and AI </b>to deliver scalable, technology-enabled solutions for BioPharma Clients. The practice has developed a <b>category-defining platform called Twine&trade;</b>&mdash; an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market. The successful candidate will play a <b>direct role in shaping, enhancing, and scaling Twine </b>as a core capability within our portfolio.</p><p>
As an <b>AI Engineer / Senior AI Engineer</b>, you will work across Blue Matter as a technical expert in AI and emerging technologies, playing a key role in designing, building, and deploying AI-powered solutions for both internal teams and clients. You will be at the forefront of integrating APIs, building proof-of-concepts (POCs), developing internal applications, and creating client-facing tools and services. This role is ideal for someone who is passionate about staying current with the rapidly evolving AI landscape and eager to apply cutting-edge techniques to solve real-world problems in life sciences.</p><p><b>
Primary Responsibilities</b></p><p>
As a key member of cross-functional client-facing teams, develop and execute project plans to support initiatives that include, but are not limited to:</p><ul><li>
Design, develop, and deploy AI/ML solutions and Generative AI applications to support commercial data and analytics for life sciences companies</li><li>
Integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Gemini, Hugging Face) into internal and client-facing applications to deliver intelligent, scalable solutions</li><li>
Build proof-of-concepts (POCs) and rapid prototypes to demonstrate the value of AI-driven approaches for product launch analytics, drug discovery, patient analytics, and data operations</li><li>
Develop and maintain internal tools and applications that streamline workflows, automate operational processes, and enhance team productivity using AI</li><li>
Build client-facing tools and services that leverage AI to deliver actionable insights, interactive dashboards, and intelligent recommendations</li><li>
Utilize cloud-service providers (e.g., AWS, Azure, or GCP) including services such as S3, EC2, Lambda, Azure OpenAI, and SageMaker to build and deploy scalable AI solutions</li><li>
Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews</li><li>
Design and implement data pipelines and ETL processes to support AI model training, fine-tuning, and inference workflows</li><li>
Investigate and evaluate emerging AI frameworks, tools, and models to continuously improve the team&rsquo;s AI capabilities and stay ahead of industry developments</li><li>
Contribute to Blue Matter&rsquo;s Internal platform rollout and other AI-powered product initiatives in client environments</li><li>
Address client questions, gather requirements, and deliver AI-powered solutions aligned with business goals</li><li>
Ensure project success through effective collaboration and meeting deadlines using agile delivery model</li><li>
Stay current with the latest advancements in AI/ML, LLMs, prompt engineering, RAG, agents, and related technologies, and evangelize best practices across the organization</li></ul><p><b>
Desired Experience and Skills</b></p><ul><li>
Hands-on experience building AI/ML applications, including working with LLMs, Generative AI, and NLP frameworks</li><li>
Strong proficiency in Python and experience with AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow)</li><li>
Proven experience integrating AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI, Azure OpenAI) into production-grade applications</li><li>
Experience building and deploying internal tools and applications (e.g., using Streamlit, Gradio, Flask, FastAPI, or React)</li><li>
Ability to build client-facing tools and services that are reliable, user-friendly, and production-ready</li><li>
Expertise in building proof-of-concepts (POCs) and rapid prototypes to validate AI-driven solutions</li><li>
Experienced with cloud platforms (AWS, Azure, GCP) and services</li><li>
Proficient in API development (RESTful/GraphQL) and version control (e.g., Git)</li><li>
Expertise in SQL, Python, and databases</li><li>
Familiar with data pipeline tools (e.g., Airflow, dbt) and data warehouse technologies (e.g., Snowflake, Redshift, Databricks)</li><li>
Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agent frameworks</li><li>
Strong knowledge of AI safety, responsible AI practices, and model evaluation techniques</li><li>
Knowledge of US pharma datasets and healthcare concepts is a plus</li><li>
Strong problem-solving, communication, and client-facing skills</li><li>
Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet)</li><li>
Genuine passion and curiosity for ongoing AI development, with a demonstrated habit of learning and experimenting with new AI tools, models, and techniques</li><li>
Excellent communication and presentation skills (internal and client facing)</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Advanced degree(s) (PhD, MD, MBA, or MS) in Computer Science, AI/ML, Data Science, or a related field</li><li>
4+ years of AI/ML engineering experience (AI Engineer) or 6+ years (Senior AI Engineer), including client-facing roles experience</li><li>
Demonstrated ability to integrate business and industry knowledge in developing creative AI solutions</li><li>
Active contributions to open-source AI projects, personal AI projects, or published research in AI/ML</li><li>
Passion for Generative AI and its applications in life sciences and healthcare</li></ul><p><b>
Compensation:</b></p><p>
Base salary range: $100,000 - $150,000 per year. Generous incentive compensation structure.<br>
<br>
Benefits Package:</p><ul><li>
401k - generous employer match with immediate vesting and financial planning resources</li><li>
Comprehensive medical, dental and vision coverage options effective day 1 of employment</li><li>
Flexible spending account (FSA) or Health Savings Account (HSA)</li><li>
Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options</li><li>
Paid parental leave for all new parents</li><li>
Health &amp; Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually)</li><li>
Employee Assistance Program</li><li>
Generous paid time off including vacation, sick days, floating and company holidays</li></ul><div>
Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, ancestry, age (40 and over), sex (including gender identity, sexual orientation and pregnancy), national origin, disability, marital status, parental status, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law.</div><p>
</p><p>YFln9UxC3u</p></div>

AI Engineer / Senior AI Engineer

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)

Rawaj - Human Capital Management

<div><p>Leverage your abilities and join the dynamic team of a leading company specializing in Oil and Gas<b> industry in Egypt, Cairo</b>
</p><h2 class="jobSectionHeader"><b>Key Accountabilities</b></h2><ul><li>Develop and execute regional supply chain strategies for drilling, field operations, and equipment maintenance</li><li>Drive AI-enabled forecasting, inventory optimization, and digital supply chain transformation</li><li>Manage strategic sourcing and supplier partnerships across GCC, MENA, Europe, and Asia</li><li>Oversee field logistics to ensure availability of critical oilfield equipment and materials</li><li>Optimize inventory, warehousing, and spare parts availability using digital solutions</li><li>Mitigate supply chain risks and enhance resilience across multi-country operations</li><li>Collaborate cross-functionally with engineering, operations, finance, and project teams</li><li>Lead and develop supply chain teams while promoting data-driven and digital capabilities</li></ul><h2 class="jobSectionHeader"><b>
Knowledge, Skills, and Experience</b></h2><p><b>
We are Looking for:</b></p><ul><li><br>
15+ years of experience in Supply Chain, Procurement, or Logistics</li><li>Minimum 8 years of experience in Oil &amp; Gas or Oilfield Services industry</li><li>Proven experience working across GCC markets (UAE, Saudi Arabia, Qatar, Oman, Kuwait)</li><li>Strong background in managing regional supply chain operations within drilling or oilfield services companies</li><li>Previous experience as an Oilfield Engineer or Field Operations Engineer is a strong advantage</li><li>Experience working with ERP systems, preferably SAP</li><li>Exposure to AI-enabled supply chain planning and analytics tools</li><li>Experience with digital supply chain platforms and automation</li><li>Knowledge of inventory optimization and predictive maintenance models</li><li>Familiarity with supply chain visualization and reporting tools</li></ul></div>

Regional Supply Chain Manager | Oil and Gas | Egypt

Sun West Mortgage Company, Inc.

<div>
 <p>
  <strong>
   Financial Analyst / Financial Engineer &ndash; Fintech Infrastructure (On‑Site)
  </strong>
 </p>
 <p>
  <strong>
   Company:
  </strong>
  Sun West Mortgage Company, Inc. | AngelAi
  <strong>
   Location:
  </strong>
  Cerritos, CA (On‑Site)
  <strong>
   Position Type:
  </strong>
  Full-Time
  <strong>
   Compensation:
  </strong>
  <strong>
   $90,000&ndash;$150,000 per year
  </strong>
  , based on experience
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About AngelAi &amp; Sun West
  </strong>
 </p>
 <p>
  You&rsquo;re not just joining a mortgage company &mdash; you&rsquo;re joining
  <strong>
   AngelAi
  </strong>
  , the high‑growth fintech innovation arm of
  <strong>
   Sun West Mortgage Company
  </strong>
  , a trusted financial leader since 1980.
 </p>
 <p>
  AngelAi builds
  <strong>
   emotionally intelligent AI systems
  </strong>
  and advanced financial automation platforms, including:
 </p>
 <ul>
  <li>
   <strong>
    AngelAI
   </strong>
   &ndash; Patented AI decisioning engine
  </li>
  <li>
   <strong>
    TRU Approvals&reg;
   </strong>
   &ndash; Real-time underwriting and risk assessment
  </li>
 </ul>
 <p>
  Your work will directly influence
  <strong>
   real-time financial intelligence, risk modeling, predictive analytics, and system optimization
  </strong>
  across a highly regulated financial environment.
 </p>
 <p>
  This is a rare opportunity to operate at the intersection of
  <strong>
   fintech, AI, quantitative finance, and financial engineering
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We are hiring
  <strong>
   Financial Analysts / Financial Engineers
  </strong>
  who think like systems architects &mdash; not traditional spreadsheet operators. This role sits at the core of our financial infrastructure, where you will engineer models, optimize financial systems, and drive high‑stakes decision automation.
 </p>
 <p>
  You will own a critical financial domain, build forward‑looking models, and influence how capital, risk, and operational efficiency flow through the entire Sun West platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Mission
  </strong>
 </p>
 <p>
  This is a deep‑ownership, high‑impact role where you will:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Own
  </strong>
 </p>
 <ul>
  <li>
   A defined, mission‑critical segment of Sun West&rsquo;s financial infrastructure
  </li>
  <li>
   End‑to‑end oversight of financial systems, reporting logic, and optimization levers
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Engineer
  </strong>
 </p>
 <ul>
  <li>
   High‑fidelity financial models, forecasts, and predictive analytics
  </li>
  <li>
   Stress‑tested risk models and scenario simulations
  </li>
  <li>
   Scalable financial logic that integrates with AI‑driven decision engines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Optimize
  </strong>
 </p>
 <ul>
  <li>
   Capital allocation, risk exposure, and operational cost structures
  </li>
  <li>
   Systemic inefficiencies across financial operations
  </li>
  <li>
   Real-time financial performance under regulatory constraints
  </li>
 </ul>
 <p>
  You will operate like a
  <strong>
   financial systems engineer
  </strong>
  , not a historical accountant.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Impact
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Architect &amp; Own:
   </strong>
   Full responsibility for a major financial domain within Sun West&rsquo;s books
  </li>
  <li>
   <strong>
    Deploy Models:
   </strong>
   Build and maintain advanced financial models and forecasting engines
  </li>
  <li>
   <strong>
    Identify Inefficiencies:
   </strong>
   Surface optimization opportunities that materially impact profitability
  </li>
  <li>
   <strong>
    Translate Complexity:
   </strong>
   Convert legal, regulatory, and contractual language into financial logic
  </li>
  <li>
   <strong>
    Advise Leadership:
   </strong>
   Partner with AI, Engineering, and Executive teams to drive strategic decisions
  </li>
  <li>
   <strong>
    Proactively Improve Systems:
   </strong>
   Raise early warning indicators and propose actionable solutions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Qualifications
  </strong>
 </p>
 <p>
  We&rsquo;re looking for individuals with
  <strong>
   intellectual intensity, analytical rigor, and a builder&rsquo;s mindset
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Finance, Accounting, Economics, Mathematics, or related quantitative field
   </strong>
  </li>
  <li>
   Strong command of
   <strong>
    accounting fundamentals
   </strong>
   and
   <strong>
    financial statement analysis
   </strong>
  </li>
  <li>
   Ability to interpret
   <strong>
    legal and contractual documents
   </strong>
   and translate them into financial logic
  </li>
  <li>
   A
   <strong>
    financial engineering mindset
   </strong>
   &mdash; you see finance as a system to optimize
  </li>
  <li>
   High intellectual curiosity and passion for understanding complex financial systems
  </li>
  <li>
   Comfort navigating ambiguity and high‑stakes financial structures
  </li>
  <li>
   Detail‑oriented, disciplined, and capable of independent leadership
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <ul>
  <li>
   Experience in
   <strong>
    mortgage finance, fintech, financial services, or risk modeling
   </strong>
  </li>
  <li>
   Exposure to
   <strong>
    AI‑driven financial systems
   </strong>
   , automation, or quantitative modeling tools
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why You&rsquo;ll Love This Role
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    You&rsquo;re a Builder:
   </strong>
   You will engineer financial systems, not just report on them
  </li>
  <li>
   <strong>
    Direct Ownership:
   </strong>
   Your work directly impacts the entire Sun West financial platform
  </li>
  <li>
   <strong>
    Real Complexity:
   </strong>
   Operate in a regulated, high‑stakes financial environment
  </li>
  <li>
   <strong>
    Influence Architecture:
   </strong>
   Your models shape risk detection, system efficiency, and strategy
  </li>
  <li>
   <strong>
    Elite Collaboration:
   </strong>
   Work alongside AI, engineering, and executive leadership from day one
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation
  </strong>
 </p>
 <p>
  <strong>
   Salary Range:
  </strong>
  <strong>
   $90,000&ndash;$150,000 per year
  </strong>
  , depending on experience and technical depth. Additional benefits available upon request.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Equal Opportunity Statement
  </strong>
 </p>
 <p>
  Sun West Mortgage Company and AngelAi are committed to building a diverse, inclusive workplace. We welcome applicants from all backgrounds.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   How to Apply
  </strong>
 </p>
 <p>
  Please submit your resume and a brief cover letter to :
  <strong>
   resumes@swmc.com
  </strong>
 </p>
</div>


Financial Analyst

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

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