ai solutions engineer

Arize AI

<div><div><div>Location</div>
<div>Remote (EMEA)</div>
</div><div><div>Status</div>
<div>Full time</div>
</div><div><div>Department</div>
<div>Solutions Engineering</div></div></div>
<br><div><div><div><div>About Arize</div>
<p>
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That&rsquo;s where we come in. Arize AI is the leading AI &amp; Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace&mdash;so teams can ship faster with confidence.</p>
<p>
We&rsquo;re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><div><b>
The Team</b></div>
<p>
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.</p>
<p>
We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You&rsquo;ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You&rsquo;ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize.</p>
<div><b>
What You&rsquo;ll Do</b></div>
<ul><div>Work closely with some of the most sophisticated ML / GenAI teams in the world.
<ul><div>You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.</div>
</ul></div><div>Advise on GenAI and ML best practices</div>
<div>Give ML and LLM product demos to technical and business stakeholders</div>
<div>Run strategic business reviews for customers in partnership with our sales team</div>
<div>Interface with our pre-sales engineering team to gather client goals and KPI&rsquo;s.</div>
<div>Partner with our product and engineering teams to help drive the product roadmap</div>
<div>Spearhead new opportunities within existing accounts to help drive expansions.</div>
</ul><div><b>What We&rsquo;re Looking For</b></div>
<p><i>
Note: Even if you do not check every single box, we still encourage you to apply!</i></p>
<ul>
<div>Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.</div>
<div>Comfortable working in public Cloud environments (AWS, Azure, GCP)</div>
<div>Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn</div>
<div>Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy</div>
<div>Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations</div>
<div>Understanding of GenAI concepts and application evaluation + development lifecycle</div>
<div>Proficiency in a programming language (Python, JS/TS, Java, Go, etc)</div>
<div>Strong Communication Skills - Ability to simplify complex, technical concepts.</div>
<div>A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.</div>
</ul><div><b>Bonus Points, But Not Required</b></div>
<ul><div>Previous engineering experience in:
<ul><div>Data Science</div>
<div>MLOps</div>
<div>ML Frameworks</div>
<div>LLM / Agentic frameworks</div>
</ul></div><div>Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles</div>
<div>Prior experience working with applications deployed with Kubernetes</div>
<div>Prior experience demoing technical products to both business and technical audiences</div>
</ul>
<p>Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.</p><div><div>
More About Arize</div>
<p>
Arize&rsquo;s mission is to make the world&rsquo;s AI work&mdash;and work for people.<br>
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge&mdash;understanding whether AI is performing and how to improve it at scale.</p>
<p>
Learn more about what we're doing here:</p>
<p>
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</p>
<p>
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</p>
<p>
Diversity &amp; Inclusion @ Arize</p>
<p>
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture</p>
<ul>
<div>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</div>
<div>Culturally conscious events such as LGBTQ trivia during pride month</div>
<div>We have an active Lady Arizers subgroup</div>
</ul></div></div><div></div><div><div><div><div><div><div>Apply now</div></div></div></div></div></div></div><p></p>

AI Solutions Engineer, EMEA

<div><div><div>Location</div>
<div>Remote (San Francisco)</div>
</div><div><div>Status</div>
<div>Full time</div>
</div><div><div>Department</div>
<div>Solutions Engineering</div></div></div>
<br><div><div><div><div>About Arize</div>
<p>
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That&rsquo;s where we come in. Arize AI is the leading AI &amp; Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace&mdash;so teams can ship faster with confidence.</p>
<p>
We&rsquo;re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><div><b>
The Team</b></div>
<p>
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.</p>
<p>
We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You&rsquo;ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You&rsquo;ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.</p>
<div><b>
What You&rsquo;ll Do</b></div>
<ul><div>Work closely with some of the most sophisticated ML / GenAI teams in the world.
<ul><div>You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.</div>
</ul></div><div>Advise on GenAI and ML best practices</div>
<div>Give ML and LLM product demos to technical and business stakeholders</div>
<div>Run strategic business reviews for customers in partnership with our sales team</div>
<div>Interface with our pre-sales engineering team to gather client goals and KPI&rsquo;s.</div>
<div>Partner with our product and engineering teams to help drive the product roadmap</div>
<div>Spearhead new opportunities within existing accounts to help drive expansions.</div>
</ul><div><b>What We&rsquo;re Looking For</b></div>
<p><i>
Note: Even if you do not check every single box, we still encourage you to apply!</i></p>
<ul>
<div>Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.</div>
<div>Comfortable working in public Cloud environments (AWS, Azure, GCP)</div>
<div>Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn</div>
<div>Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy</div>
<div>Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations</div>
<div>Understanding of GenAI concepts and application evaluation + development lifecycle</div>
<div>Proficiency in a programming language (Python, JS/TS, Java, Go, etc)</div>
<div>Strong Communication Skills - Ability to simplify complex, technical concepts.</div>
<div>A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.</div>
</ul><div><b>Bonus Points, But Not Required</b></div>
<ul><div>Previous engineering experience in:
<ul><div>Data Science</div>
<div>MLOps</div>
<div>ML Frameworks</div>
<div>LLM / Agentic frameworks</div>
</ul></div><div>Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles</div>
<div>Prior experience working with applications deployed with Kubernetes</div>
<div>Prior experience demoing technical products to both business and technical audiences</div>
</ul>
<p>The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.</p>
<p>
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.</p><div><div>
More About Arize</div>
<p>
Arize&rsquo;s mission is to make the world&rsquo;s AI work&mdash;and work for people.<br>
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge&mdash;understanding whether AI is performing and how to improve it at scale.</p>
<p>
Learn more about what we're doing here:</p>
<p>
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</p>
<p>
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</p>
<p>
Diversity &amp; Inclusion @ Arize</p>
<p>
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture</p>
<ul>
<div>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</div>
<div>Culturally conscious events such as LGBTQ trivia during pride month</div>
<div>We have an active Lady Arizers subgroup</div>
</ul></div></div><div></div><div><div><div><div><div><div>Apply now</div></div></div></div></div></div></div><p></p>

AI Solutions Engineer, West

Apple Federal Credit Union

<div><p>At Apple Federal Credit Union, we&rsquo;re more than a financial institution; we&rsquo;re a community-focused organization powered by passionate people. With 24 branches across Northern Virginia and a proud legacy of service, we&rsquo;re committed to improving the lives of our members and the communities we serve.</p><p>
We believe our employees are our greatest asset. That&rsquo;s why we foster a supportive workplace culture that values inclusiveness, innovation and growth. Whether you&rsquo;re just starting out or advancing your career, you&rsquo;ll find opportunities for professional development, mentorship and meaningful impact.</p><p><b>
Why Work at Apple FCU</b></p><div><ul><li>
Recognized as a USA Top Workplace (2025) and Top Workplace by The Washington Post (2025)</li><li>
Collaborative, welcoming environment with forward-thinking leadership</li><li>
Competitive, comprehensive benefits package, including:<ul><li>
Medical, dental and vision coverage</li><li>
401(k) with employer match</li><li>
Paid time off and 11 paid federal holidays</li><li>
Paid volunteer time to give back</li><li>
Tuition reimbursement and ongoing training opportunities</li><li>
Annual TEAM Bonus plan.</li></ul></li></ul><div><div><p><b>
Role:</b></p></div><p></p><div><div><p><br>
Under the general supervision of the Manager, AI &amp; Data Engineering, and in adherence to established policies and procedures, the AI Solutions Engineer II will be responsible for designing, building, and operationalizing AI-powered solutions that transform how staff discover and consume Apple FCU&rsquo;s enterprise data. This role will serve as a hands-on technical builder who leverages the data platform and curated datasets created by the Data Analytics team to deliver secure, reliable, and scalable AI experiences&mdash;such as internal agents that enable staff to ask natural-language questions and receive accurate, explainable answers grounded in governed data.</p><p></p><p><br>
The AI Solutions Engineer will own key technical decisions and implementations required to make AI usable in production, including AI tooling selection and development, integration patterns, Azure compute/runtime considerations, and end-to-end operational supportability (monitoring, logging, error handling, and deployment discipline). The role will partner closely with Data Engineering, Data Analytics leadership, Cybersecurity/IT stakeholders, and business partners to ensure solutions meet business needs while maintaining appropriate governance, privacy, and security controls.</p><p></p><p><br>
The candidate will be expected to perform their duties with a mindset that reflects The Apple Way principles: Team Up, Serve with Purpose, Challenge Yourself, and Own It. A keen awareness of and compliance with credit union policies and procedures, as well as regulations pertaining to the Bank Secrecy Act, is imperative. Additionally, the AI Solutions Engineer will undertake other information technology responsibilities as delegated by the Manager, AI &amp; Data Engineering.</p><p></p><div><div><p><b><br>
Essential Functions &amp; Responsibilities:</b></p><p><b>
Build AI-powered data consumption experiences</b></p><ul><li>
Design and implement staff-facing AI experiences that allow non-technical users to ask questions in natural language (e.g., &ldquo;How many members opened accounts yesterday?&rdquo;) and receive accurate, explainable answers grounded in governed enterprise data.</li>
Implement safe &ldquo;natural language<li> analytics&rdquo; workflows (query planning, schema/metadata grounding, semantic definitions, and response formatting) that prioritize correctness, interpretability, and repeatability.</li><li>
Ensure AI outputs include the appropriate context (definitions, time windows, filters used, and confidence/limitations) to reduce misinterpretation and improve trust.</li><li>
Partner with Data Engineering to assess and improve AI-readiness of enterprise datasets, develop metadata, semantic labeling, and data quality standards needed for AI outputs.</li></ul><p><b>
Own AI tooling selection, engineering standards, and integrations</b></p><ul><li>
Own the technical evaluation, selection, and implementation of AI tooling used to deliver internal AI solutions (model/provider choices, orchestration patterns, retrieval patterns, evaluation harnesses, monitoring/telemetry patterns).</li><li>
Evaluate and develop agentic AI solutions that will assist in everyday organizational processes, build out multi-step workflows that will act on enterprise data with appropriate oversight and traceability.</li><li>
Develop reusable &ldquo;golden path&rdquo; components that the team can consistently apply: prompt templates, retrieval patterns, tool/function calling patterns, safety/guardrail patterns, logging and tracing, and secure data access adapters.</li></ul>
Partner with Data Engineering to define and maintain the interfaces between the AI consumption layer and the governed data platform (Fabric/Warehouse/Lakehouse), ensuring minimal friction for future AI use cases.<p><b><br>
Azure runtime, compute, and operational ownership</b></p><ul><li>
Architect and implement the runtime environment for AI services (Azure hosting patterns, identity, secrets, compute scaling, performance tuning, cost controls) to ensure production-grade reliability and supportability.</li><li>
Implement observability and operational discipline for AI solutions: telemetry, auditing, error handling, incident response hooks, and maintainable runbooks.</li><li>
Establish release and change discipline for AI solutions (dev/test/prod separation where applicable, automated deployment patterns, rollback approach).</li></ul><p><b>
Governance, security, and responsible AI guardrails</b></p><ul><li>
Ensure AI solutions comply with Apple FCU&rsquo;s AI Policy and enterprise security expectations, including data access controls, privacy safeguards, auditability, and human oversight mechanisms.</li></ul>
Partner with stakeholders (Cyber/IT governance) to build out AI governance framework and ensure AI tools do not introduce unacceptable data exposure risk; support third‑party AI assessments as needed (data usage boundaries, retention, model training exclusions, access logging).<p><b><br>
Enablement and adoption (turn capability into usage)</b></p><ul><li>
Create practical enablement materials and lightweight training for staff on how to use AI data agents effectively and responsibly (what it can/can&rsquo;t answer, how to phrase questions, how to validate outputs).</li></ul>
Operate as a &ldquo;builder + evangelist&rdquo;: identify adoption blockers, iterate on UX and response quality, and drive measurable increases in self-service usage while reducing manual analyst/engineer lift.<br>
<br>
<b>Experience:</b><ul><li>
5&ndash;8+ years of demonstrated, relevant experience in software engineering, data engineering, platform engineering, and/or applied AI engineering.</li><li>
Strong proficiency in Python (and/or C#) and modern engineering practices (Git, code reviews, testing, CI/CD, observability).</li><li>
Working knowledge of Azure and cloud-native design patterns (secure identity, networking, secrets management, scaling/compute, cost awareness).</li><li>
Strong working knowledge of SQL and data warehousing/lakehouse concepts; ability to safely operationalize natural-language analytics patterns using governed datasets and business definitions.</li><li>
Demonstrated ability to evaluate tools pragmatically (build vs. buy), select architectures, and ship production solutions in ambiguous environments (&ldquo;think and do&rdquo;).</li><li>
Demonstrated experience with RAG patterns, vector search, prompt engineering, and LLM output evaluation techniques</li><li>
Familiarity with emerging agentic AI platforms and runtimes, with the ability to evaluate and explore available tools that support persistent agent execution, governance, and security</li><li>
Demonstrated understanding of responsible AI expectations (human oversight, privacy, security, transparency, and risk management) and ability to implement guardrails accordingly.</li></ul><p><b>
Education:</b></p><ul><li>
BA/BS degree with an emphasis in IT/IS, Computer Science or equivalent combination of experience and relevant certifications</li></ul><div><div><p>
Must possess excellent verbal and written communication skills. The ability to motivate or influence others is a material part of the job, requiring a significant level of diplomacy and trust. Obtaining cooperation (internally and/or externally) is an important part of the job. Must be able to communicate complex AI concepts to diverse audiences, ensuring clarity and understanding across all levels of the organization. Collaborates effectively with cross-functional teams to achieve AI objectives, exemplifying leadership and team-building abilities.</p><p>
Strong analytical, prioritizing, interpersonal, problem-solving, presentation, allocating, project management (from conception to completion), &amp; planning skills.</p><p>
Strong verbal and written communication skills (including analysis, interpretation, &amp; reasoning).</p><p>
Skilled at understanding, detailing, and describing complex technical subjects, and aligning business capabilities to Technology solutions.</p><p>
Ability to develop and maintain collaborative relationships with peers and colleagues across the organization, as well as internal and external clients.</p><p>
Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment.</p><p></p><p><i><br>
 Apple Federal Credit Union values, encourages, and implements diversity in the workplace.</i></p><p><i>
As an equal opportunity employer, Apple Federal Credit Union does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.</i></p><i>
All selected candidates will be subject to credit and background checks to determine employment eligibility.</i></div></div></div></div></div></div></div></div></div>

AI Solutions Engineer II

Vantage Data Centers

<div><h1 class="jobSectionHeader"><b>About Vantage Data Centers</b></h1><p><br>
Vantage Data Centers powers, cools, protects and connects the technology of the world&rsquo;s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.</p><p></p><p><b>
Information Technology Department</b></p><p>
The Information Technology Department architects and operates the digital foundation powering Vantage Data Centers' global operations while pioneering the intelligent transformation of how we work. Our integrated IT/AI organization delivers enterprise-grade infrastructure, networking, cybersecurity, and end-user services with operational excellence, while simultaneously developing artificial intelligence capabilities that drive measurable business value. We are transforming our service delivery model around ITIL best practices, comprehensive automation frameworks, and governance structures that enable both stability and innovation. Our teams collaborate across Infrastructure, Network, Service Desk, IT Engineering, and Artificial Intelligence functions, emphasizing service over technology and recognizing that success is measured by business outcomes rather than technical implementations. This is an exceptional time to join as we fundamentally reshape how technology serves the organization, creating an environment where operational discipline and innovative experimentation work as complementary forces.</p><p></p><p><b>
Artificial Intelligence Team</b></p><p>
The Artificial Intelligence Team exists to amplify human potential through intelligent technology. We're building an AI-powered ecosystem that transforms how Vantage creates value, freeing our people from routine work so they can focus on innovation and strategic thinking that truly differentiates us in the market. Through responsible AI implementation across operations, engineering, and business functions, we're not just automating processes; we're reimagining what's possible when human creativity partners with artificial intelligence. Our approach centers on measurable business outcomes, ethical governance, and creating capabilities that make every team member more effective while positioning Vantage at the forefront of the intelligent infrastructure revolution.</p><p></p><p><b>
Position Overview</b></p><p></p><p><b>
This position is based remotely in the United States.</b></p><p></p><p>
The AI Solutions Engineer, Global is a hands-on technical builder within Vantage&rsquo;s Accelerators team, responsible for transforming validated business requirements into working AI prototypes that demonstrate tangible value within aggressive 6-week development cycles. This role combines deep expertise in AI/ML technologies, Microsoft 365 ecosystem mastery, and pragmatic software engineering discipline to deliver production-quality code under rapid prototyping constraints. The Solutions Engineer operates at the technical frontline of innovation, making real-time architectural decisions, writing code that balances speed with maintainability, and validating hypotheses through working demonstrations rather than theoretical designs. Success requires the rare combination of technical depth, velocity orientation, and business pragmatism, knowing when to leverage existing platforms versus custom development, when to optimize versus ship, and when technical debt is strategic versus dangerous. This is not research engineering focused on algorithmic innovation; this role delivers practical solutions using proven technologies in novel combinations that solve actual business problems for Vantage&rsquo;s data center operations.</p><p></p><p><b>
Essential Job Functions</b></p><ul><li><p>
Design and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productization.</p></li><li><p>
Build intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform.</p></li><li><p>
Partner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexity.</p></li><li><p>
Apply SDLC best practices&mdash;version control, code reviews, automated testing, and CI/CD&mdash;within a rapid prototyping environment to balance quality and speed.</p></li><li><p>
Produce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teams.</p></li><li><p>
Demonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvements.</p></li><li><p>
Make pragmatic engineering decisions that balance speed, technical debt, and long-term scalability.</p></li><li><p>
Develop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standards.</p></li></ul><p></p><p><b>
Duties</b></p><ul><li><p>
Develop AI solutions using Python, TypeScript/JavaScript, and modern frameworks, including ML models, agentic systems, NLP, and intelligent automation.</p></li><li><p>
Integrate Azure AI services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Document Intelligence into enterprise-ready solutions.</p></li><li><p>
Build custom Copilots using Copilot Studio to support conversational AI, workflow automation, and decision support within Microsoft 365.</p></li><li><p>
Design data pipelines and ETL processes to prepare enterprise data for AI use, ensuring data quality, privacy, and performance.</p></li><li><p>
Implement APIs, webhooks, and integrations connecting AI solutions with enterprise platforms (Microsoft 365, SharePoint, Power Platform, Salesforce, and operational systems).</p></li><li><p>
Rapidly evaluate and experiment with emerging AI technologies, focusing on solutions suitable for production environments.</p></li><li><p>
Participate in code reviews, pair programming, and knowledge sharing to ensure prototype quality and team capability growth.</p></li><li><p>
Embed security, privacy, and governance controls from the outset, meeting enterprise compliance standards.</p></li><li><p>
Create automated tests and validation checks to verify solution accuracy, reliability, and readiness for demonstrations.</p></li><li><p>
Troubleshoot and resolve complex technical and integration issues while documenting learnings.</p></li><li><p>
Package prototypes with deployment scripts, configuration documentation, and user guides for stakeholder demonstrations.</p></li><li><p>
Support handoff to Development teams through architecture walkthroughs, documentation, and knowledge transfer.</p></li><li><p>
Stay current on Microsoft AI platform updates and industry best practices, applying relevant innovations to prototyping efforts.</p></li><li><p>
Handle additional duties as assigned by Management.</p></li></ul><p></p><p><b>
Job Requirements</b></p><p></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferred.</p></li><li><p>
Strong hands-on experience building AI/ML solutions using modern frameworks (e.g., LangChain, Semantic Kernel, or similar agentic platforms).</p></li><li><p>
Proficiency in Python and TypeScript/JavaScript, with a track record of writing clean, maintainable, well-documented code.</p></li><li><p>
Deep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power Platform.</p></li><li><p>
Experience developing within the Microsoft Copilot ecosystem (Copilot Studio, Microsoft Graph, Teams, SharePoint).</p></li><li><p>
Solid understanding of machine learning, NLP, retrieval-augmented generation, prompt engineering, and agentic system design.</p></li><li><p>
Experience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architectures.</p></li><li><p>
Strong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivity.</p></li><li><p>
Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor.</p></li><li><p>
Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus.</p></li><li><p>
Knowledge of security, data privacy, and enterprise compliance standards.</p></li><li><p>
Strong problem-solving and debugging skills, particularly in complex, integrated environments.</p></li><li><p>
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.</p></li><li><p>
Self-directed, adaptable, and comfortable working in fast-paced, minimally supervised environments.</p></li><li><p>
Demonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharing.</p></li><li><p>
Travel required is expected to be up to 5% but may increase over time as the business evolves.</p></li></ul><p></p><p><b>
Physical Demands and Special Requirements
</b></p><p></p><p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p></p><p>
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.</p><p></p><p><b>
Additional Details</b></p><ul><li><p>
Salary Range: $130,000-135,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)</p></li><li><p>
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&amp;D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.</p></li><li><p>
Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.</p></li></ul><p></p><p>
#LI-Remote #LI-CD1</p><p></p><p>
We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other&rsquo;s strengths and respecting each other&rsquo;s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.</p><p><br>
Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.</p><p></p><p>
Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.</p><p></p><p>
Vantage Data Centers is an Equal Opportunity Employer</p><p>
Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.</p></div>

AI Solutions Engineer, Global

Palm Hills Developments

<div>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
  <strong>
   Reporting to the Director of Project Controls
  </strong>
  and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Identify and priorities high‑impact AI use cases for various functions and departments.
  </li>
  <li>
   Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
  </li>
  <li>
   Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
  </li>
  <li>
   Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
  </li>
  <li>
   Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
  </li>
  <li>
   Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
  </li>
  <li>
   Establish data‑privacy, model‑risk and ethical‑AI controls.
  </li>
  <li>
   Develop training programmes and user documentation; champion adoption across multiple business units.
  </li>
  <li>
   Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education:
  </strong>
  BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 </p>
 <p>
  <strong>
   Technical Toolkit:
  </strong>
 </p>
 <p>
  Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 </p>
 <p>
  Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 </p>
 <p>
  Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 </p>
 <p>
  Applied machine learning techniques on multiple projects
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
  : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <p>
  &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 </p>
 <p>
  &bull;AI‑related credentials
 </p>
 <p>
  <strong>
   Location:
  </strong>
  <strong>
   Head Office, 6th of October City, Giza, Egypt
  </strong>
 </p>
</div>


AI Solutions Engineer

Cooley LLP

<div><p>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.</p><p></p><p><b>
Position summary:</b> As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:</p><p></p><p><b>
Position responsibilities:</b></p><ul><li><p>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</p></li><li><p>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</p></li><li><p>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</p></li><li><p>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</p></li><li><p>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</p></li><li><p>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</p></li><li><p>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</p></li><li><p>
Coordinate training, support, documentation and resource material in support of processes and systems</p></li><li><p>
Engage with end-users to gather feedback, observe and map routines and processes</p></li><li><p>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</p></li><li><p>
All other duties as assigned or required</p></li></ul><p></p><p><b>
Skills and experience:</b></p><p>
Required:</p><ul><li><p>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</p></li><li><p>
Ability to work extended and/or weekend hours, as required</p></li><li><p>
Ability to travel, as required</p></li><li><p>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</p></li><li><p>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</p></li><li><p>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</p></li><li><p>
Experience designing and implementing retrieval-grounded generation in permissioned environments</p></li><li><p>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</p></li></ul><p></p><p>
Preferred:</p><ul><li><p>
Bachelor&rsquo;s degree</p></li><li><p>
Working knowledge of business analysis, knowledge management, information systems or other-related field</p></li><li><p>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</p></li><li><p>
Knowledge of legal concepts related to the business of the firm and the legal industry</p></li><li><p>
Familiarity with agile development methodologies</p></li><li><p>
Experience engaging with end-users to gather feedback, observe and map routines and processes</p></li><li><p>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</p></li><li><p>
Excellent attention to detail</p></li><li><p>
Excellent analytical skills</p></li><li><p>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</p></li><li><p>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</p></li><li><p>
Strong customer focus, with an emphasis on efficient and effective communications</p></li><li><p>
Solid relationship management, presentation and collaboration skills</p></li><li><p>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</p></li><li><p>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</p></li><li><p>
Entrepreneurial by nature</p></li><li><p>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</p></li><li><p>
Ability to drive projects to completion and achieve goals</p></li><li><p>
Team-player with collaborative spirit</p></li></ul><p></p><p>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.</p><p></p><p>
EOE.</p><p></p><p>
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.</p><p></p><p>
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</p></div>

Artificial Intelligence (“AI”) Solutions Engineer

Seeniun Properties LLC

<p><b>Company: Seeniun Properties LLC</b></p><p><b>Dubai, UAE</b></p><p><b>Full-Time | On-site</b></p><p><b>Salary: AED 20,000+ per month (based on experience)</b></p><p><b>About Us</b></p><p>Seeniun Properties is a Dubai-based real estate company building practical AI-powered systems to improve business operations, client communication, and workflow efficiency. We are expanding our AI solutions capability and are looking for a strong technical professional to support deployment, troubleshooting, and long-term system performance.</p><p><b>Role Overview</b></p><p>We are hiring an AI Solutions Engineer / AI Agent Support Lead to take ownership of post-sale technical delivery, troubleshooting, after-sales support, and system optimization.</p><p>This is not a sales role. Our business team will handle client acquisition and closing. Your responsibility begins after the deal is signed: making sure the AI solution is deployed properly, works reliably, and client issues are handled quickly and accurately.</p><p><b>Key Responsibilities:</b></p><ul><li>Deploy and configure AI agent systems for internal and client projects</li><li>Provide fast and effective after-sales technical support</li><li>Troubleshoot workflow failures, bugs, integration issues, and agent performance problems</li><li>Improve system stability, speed, reliability, and usability</li><li>Support client onboarding, setup, and technical handover</li><li>Translate sold solutions into practical, working systems</li><li>Maintain deployment guides, SOPs, troubleshooting documents, and support notes</li><li>Identify repeated issues and improve the product to reduce support load over time</li><li>Help scale internal AI systems into repeatable client-ready solutions</li></ul><p><b>Requirements:</b></p><ul><li>Proven experience with AI agents, automation systems, or AI-powered business workflows</li><li>Strong hands-on skills in Python, APIs, integrations, and debugging</li><li>Ability to solve problems quickly and accurately in live business environments</li><li>Experience supporting deployed systems, not just building prototypes</li><li>Strong communication skills in English</li><li>Good documentation and organizational skills</li><li>High sense of ownership, urgency, and accountability</li><li>Ability to work on-site in Dubai Preferred</li><li>Experience in real estate, proptech, CRM automation, or operations automation</li><li>Familiarity with LLM workflows, LangChain, AutoGen, multi-agent systems, or similar tools</li><li>Experience with cloud deployment, Docker, and workflow automation platforms</li><li>Familiarity with WhatsApp/chat-based automation or client-facing AI workflows</li><li>Understanding of UAE / Dubai operational business needs</li></ul><p><b>What Success Looks Like?</b></p><ul><li>Client projects are deployed smoothly after sale</li><li>Technical issues are resolved fast and correctly</li><li>Clients feel supported and confident using the system</li><li>AI workflows become more stable, scalable, and easier to maintain</li><li>The business can confidently sell more AI solutions because delivery quality is strong Ideal Candidate</li></ul><p><b>How to Apply? </b></p><ul><li>If you have experience building and supporting AI systems in real business environments, apply here or email us as hr@seeniunproperties.com</li></ul><p>Pay: AED20,000.00 per month</p><p>Work Location: In person</p>

AI Solutions Engineer / AI Agent Support Lead

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