ai solutions engineer

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: 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:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
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</li><li>
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</li><li>
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</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
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</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
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.
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.</div>

Artificial Intelligence (“AI”) Solutions Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
<div></div><div>About Us
</div><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><div></div><div>About the Role
</div><div>As a Qualcomm Datacenter AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.
Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
Principal Duties and Responsibilities:
<ul><li>Design, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem to deliver high-performance, power‑efficient, and scalable inference
</li><li>Develop and deploy GenAI and LLM-based applications, including model integration, fine-tuning, and optimization
</li><li>Apply systems-level knowledge to analyze, design, implement, and validate AI software, models, and system architecture
</li><li>Perform AI model benchmarking, functional analysis, and performance characterization to drive requirements and improvements
</li><li>Support customer engagements by optimizing AI models and workloads for deployment and inference efficiency
</li><li>Contribute to system-level design efforts, including requirements definition, interfaces, performance targets, and implementation
</li><li>Collaborate closely with cross-functional teams to implement, test, and validate AI system features
</li><li>Debug and triage system-level issues, perform root-cause analysis, and communicate findings clearly
</li><li>Stay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutions
</li></ul>Preferred Qualifications:
<ul><li>Master&rsquo;s or PhD in Engineering, Computer Science, Information Systems, or a related field
</li><li>Proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
</li><li>Hands-on experience building, deploying, and tuning AI/ML systems
</li><li>Strong understanding of GenAI architectures (e.g., transformers, diffusion models, LLMs, embeddings)
</li><li>Experience with large-scale AI system design, including distributed systems, fault tolerance, and event-driven architectures
</li><li>Familiarity with MLOps practices and ML lifecycle management
</li><li>Experience with containerization and automation tools (Docker, Kubernetes, Git/GitOps)
</li><li>Experience with model fine-tuning and/or reinforcement learning is a plus
</li><li>Familiarity with observability, benchmarking, and performance analysis for ML pipelines is a plus
</li><li>Experience working in large, matrixed organizations and collaborating across teams
</li><li>Strong problem-solving skills and customer-focused mindset
</li><li>Experience with open-source development practices
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul></div>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Datacenter AI Solutions Engineer - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
About the Role
As a Qualcomm Datacenter AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.
Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
We are looking for Engineers with 8+ years of experience
Principal Duties and Responsibilities:
<ul><li>Lead the development of end-to-end AI/ML solutions that integrate Qualcomm AI hardware, system software, and ecosystem components to deliver best-in-class AI inference performance, power efficiency, and scalability
</li><li>Drive the design, development, deployment, and optimization of Generative AI and LLM-based applications, with a focus on production readiness and inference efficiency
</li><li>Contribute to and guide the implementation of model fine-tuning, distillation, and optimization strategies tailored for deployment on target hardware
</li><li>Apply deep systems-level expertise to research, design, develop, simulate, validate, and optimize AI systems spanning hardware, system software, AI frameworks, and models, while ensuring system-level requirements are met
</li><li>Perform AI model benchmarking, workload characterization, and performance analysis to influence system requirements, hardware/software co-design, and product direction
</li><li>Serve as a technical lead for customer engagements, supporting AI model onboarding, inference optimization, deployment, and performance tuning
</li><li>Own and drive system-level architecture and design, including requirements definition, interface specifications, performance targets, and implementation of new systems or enhancements to existing platforms
</li><li>Collaborate across cross-functional teams (hardware, software, tools, frameworks, and product) to deliver features, validate AI system correctness, and ensure high-quality execution
</li><li>Stay current with advancements in AI/ML models, inference techniques, and hardware/software innovations, and proactively translate them into impactful solutions
</li><li>Propose and drive new, innovative ideas that meaningfully improve products, platforms, or developer experience
</li><li>Lead system-level debugging and triage, identify root causes across the stack, and clearly communicate findings, trade-offs, and recommendations to team members and stakeholders
</li></ul>Preferred Qualifications &amp; Skills:
<ul><li>Master&rsquo;s or PhD in Engineering, Computer Science, Information Systems, Physics, or a related discipline
</li><li>Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
</li><li>Hands-on experience designing, deploying, and operating AI/ML systems in production
</li><li>Solid understanding of Generative AI architectures, including transformers, diffusion models, and hybrid systems (LLMs, LVMs, embeddings)
</li><li>Experience with large-scale AI systems architecture, including microservices, distributed systems, event-driven designs, and fault-tolerant/resilient architectures
</li><li>Practical experience with AI inference serving, performance optimization, and scalability across heterogeneous hardware
</li><li>Experience with MLOps practices for AI application development, deployment, monitoring, and lifecycle management
</li><li>Familiarity with automation and DevOps tooling, including GitOps workflows, containerization (Docker), orchestration platforms (Kubernetes), and ML lifecycle tools
</li><li>Strong problem-solving skills with a customer- and solution-focused mindset
</li><li>Experience with cluster schedulers and resource managers (e.g., Slurm, PBS) and workload orchestration is a plus
</li><li>Experience with observability, monitoring, and debugging tools for ML pipelines and inference services
</li><li>Proven ability to operate effectively in a large, matrixed organization, influencing across teams
</li><li>Experience with fine-tuning and optimization of GenAI models, including reinforcement learning techniques, is a plus
</li><li>Well versed in open-source development practices, collaboration, and code quality standards
</li><li>Exposure to rack-level orchestration, fleet management, and data center automation is a plus
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

System level AI Solutions & Software Engineer (Staff level) - Riyadh, KSA

OpenArc, LLC.

<div>
 
 OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified AI Engineer to join our client&rsquo;s organization and contribute to their ongoing success.
 
 
 
 
 
 Job summary
 
 
 The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.
 
 
 Responsibilities:
 
 <ul>
 <li>
 Advance the organization&rsquo;s AI strategy with a strong emphasis on identifying high- value opportunities, defining technical roadmaps, prioritizing use cases, and advocating for responsible, extensible and scalable IA adoption.
 </li>
 <li>
 Collaborate with business and IT stakeholders to deeply understand current state processes and workflows in order to deliver AI powered solutions that deliver high-impact solutions driving measurable operational efficiency and transformation.
 </li>
 <li>
 Lead the full stack end-to-end development of custom AI solutions leveraging knowledge of MLOps, context management, and CICD practices to orchestrate AI agents and technology (e.g., Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock, etc).
 </li>
 <li>
 Design, create, and implement reusable AI frameworks, prompt templates, reference architecture, and reference architectures to accelerate AI solution delivery across teams.
 </li>
 <li>
 Support the model evaluation, testing, and certification process: red-teaming, bias/fairness testing, accuracy benchmarking, hallucination detection, content safety filtering, and production readiness sign-off in regulated environments.
 </li>
 <li>
 Establish and enforce responsible AI governance practices, including aligning to the NIST AI Risk Management Framework.
 </li>
 <li>
 Collaborate with cloud, data and security architecture teams to build secure, extensible solutions
 </li>
 <li>
 Stay current with the latest capabilities in current and emerging AI agentic technology and frameworks.
 </li>
 <li>
 Experiment with alternative AI models and enhance the overall AI technology capabilities.
 </li>
 <li>
 Provide guidance on feasibility, risks and expected business impacts of AI initiatives.
 </li>
 <li>
 Draft clear documentation for AI models, data flows, AI solutions, APIs and operational procedures.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 Experience in software engineering, data science, or related technical roles, with strong proficiency in coding, business and system design, and production deployment.
 </li>
 <li>
 Experience building and deploying generative AI solutions in enterprise environments
 </li>
 <li>
 Proficient in backend development using AI algorithms. Python, Java, Shell, Linux or Node.js, MCP, APIs, knowledge graphs, vector databases, &amp; data structures
 </li>
 <li>
 Demonstrated knowledge of MLOps, model lifecycle, and (CI/CD) practices.
 </li>
 <li>
 Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent, Snowflake agents, Copilot Studio and AWS Bedrock.
 </li>
 <li>
 Created reusable frameworks, prompt templates, and reference architectures to accelerate AI solution delivery across teams.
 </li>
 <li>
 Knowledge of Bank business applications is a plus
 </li>
 <li>
 Knowledge of data query, analysis, and scanning tools and techniques
 </li>
 </ul>
 
 
 
 
 
 
 
 At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities.
 
 
 
 
 
 As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package.
 
 
 
 
 
 OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
 
</div>

Artificial Intelligence Engineer

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

oryxsearch.io

<div>
 
 
 Forward Deployed Engineer - High Profile AI Scale-Up
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 We are working with a high profile, AI Scale-Up focused on building advanced AI-driven software for enterprise environments. The approach centres on developing highly customised solutions that integrate deeply with client data, workflows, and operational processes.
 
 
 Rather than offering off-the-shelf products, the team delivers tailored systems designed to drive measurable improvements in efficiency, decision-making, and overall performance. The work sits at the intersection of software engineering, data, and real-world business impact.
 
 
 
 
 
 
 The Role - Forward Deployed Engineer
 
 
 
 
 
 
 This is a high-impact, customer-facing engineering role focused on solving complex business challenges through AI-powered software. You will work directly with stakeholders to understand problems, design solutions, and deploy production-grade applications. The role involves full ownership across the lifecycle from initial discovery and scoping to implementation and continuous iteration. This position goes beyond traditional engineering. You will play a key role in shaping how organizations operate by embedding technology into core workflows and decision-making processes.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Partner closely with customers to identify and define high-priority business problems
 </li>
 <li>
 Design and build custom applications leveraging enterprise data (structured and unstructured)
 </li>
 <li>
 Develop and deploy workflows that are actively used by operational teams and leadership
 </li>
 <li>
 Iterate quickly, delivering solutions that drive measurable outcomes
 </li>
 <li>
 Take end-to-end ownership of projects, from concept through to production and optimization
 </li>
 <li>
 Collaborate across technical and non-technical teams to ensure successful delivery
 </li>
 <li>
 Operate in a flexible, language-agnostic environment where technology choices are driven by problem requirements rather than fixed stacks
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 <ul>
 <li>
 Customer Obsession with a drive to solve real-world problems and deliver tangible impact
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to break down complex challenges
 </li>
 <li>
 Proficiency in Python and/or TypeScript
 </li>
 <li>
 Experience building and deploying applications using large datasets
 </li>
 <li>
 Demonstrated ability to deliver meaningful business outcomes through software or data solutions
 </li>
 <li>
 High level of ownership and ability to work autonomously
 </li>
 <li>
 Strong communication and collaboration skills across diverse stakeholders
 </li>
 <li>
 Willingness to travel for client engagements
 </li>
 <li>
 Comfortable working in a hybrid, in-person environment across global teams
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science or a related discipline from a Tier 1 academic group
 </li>
 <li>
 Experience with production machine learning or LLM-based systems
 </li>
 <li>
 Exposure to enterprise data platforms or similar tools
 </li>
 <li>
 Frontend development experience (e.g., React)
 </li>
 <li>
 Familiarity with distributed computing frameworks (e.g., Spark)
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 
 
 
 <ul>
 <li>
 Competitive compensation package, including equity
 </li>
 <li>
 Comprehensive benefits
 </li>
 <li>
 Hybrid working model
 </li>
 <li>
 Opportunity to build products and systems from the ground up (0&rarr;1)
 </li>
 <li>
 High ownership within a small, high-performing team
 </li>
 <li>
 Exposure to complex, high-value enterprise challenges
 </li>
 </ul>
 
 
</div>

Forward Deployed Engineer - High Profile AI Scale-Up

Openkyber

<div>AI Agent Engineer Austin, TX HYBRID Only Locals 5 months Contract
Looking for the candidates who can work without any visa sponsorship. ONLY INPERSON INTERVIEWS Position is ONSITE/Hybrid at the location listed above (with some hybrid work determined by the hiring manager). The program will only accept LOCAL ONLY candidates for this position. The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY. Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Level Description 4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment.
Job Description Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
Additional job details and special considerations AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
<ul><li>Years Required/Preferred Experience 4</li>
<li>Required experience in AI/ML engineering or advanced data science 4</li>
<li>Required Proven track record of building and deploying production-grade autonomous agents.</li>
<li>Required Strong experience in context engineering</li>
<li>Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.</li>
<li>Required Experience implementing RAG architectures using vector databases</li>
<li>Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)</li>
<li>Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation</li>
<li>Required Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls</li>
<li>Required Understanding of data privacy and handling of sensitive data (PII/PHI)</li>
<li>Preferred Experience building multi-agent or autonomous agentic workflows</li>
<li>Preferred Experience optimizing LLM cost, token usage, and performance</li>
<li>Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
</li></ul>For applications and inquiries, contact: hirings@openkyber.com</div>

AI Development Manager

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