generative ai specialist

Innodata

<div>Job Title: Generative AI Specialist - Bilingual (Turkishand English)
Location: Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska)
Employment Type: Part-Time; up to 28 hours per week
Please note, this position is being advertised for future opportunities; while there is no immediate opening, we are proactively building a pipeline of qualified candidates for upcoming needs.
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 
Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years. 
About the Role:
At Innodata, we&rsquo;re partnering with the world&rsquo;s leading technology companies to build the future of generative AI and large language models (LLMs). We&rsquo;re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. 
This is not a traditional full-time role. It&rsquo;s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact&mdash;on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 
You&rsquo;ll be helping LLMs learn the intricacies of language and reasoning&mdash;not just how to write, but how to think. If you&rsquo;ve ever dreamed of shaping the intelligence behind tomorrow&rsquo;s technology, this is your chance. 
This is more than just a gig&mdash;it&rsquo;s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 
What You&rsquo;ll Be Doing:
Core tasks would include (any/multiple of) but not limited to the following:
<ul><li>Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
</li><li>Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.
</li><li>Classification: Assigning predefined categories or labels to items.
</li><li>Content Quality: Evaluating the perceived quality and/or appropriateness of content
</li><li>Content Understanding: Generating labels to advance understanding of a concept, trend etc.
</li><li>Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
</li><li>Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
</li><li>Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.</li><li>
Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.
</li><li>Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.
</li><li>Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
</li><li>Response Generation: Generating responses to prompts or questions using a language model or other AI system.
</li><li>Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
</li><li>Response Summarization: Producing concise summaries of longer pieces of text or data.
</li><li>Similarity Evaluation: Projects where content is compared in order to drive a determination.
</li><li>Transcription: Converting spoken language or audio content into written text.
</li><li>Translation: Converting text or spoken language from one language to another.
</li><li>Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.</li></ul> 
Minimum Qualifications:<ul><li>
A Bachelor&rsquo;s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master&rsquo;s or PhD)</li><li>
Professional or Expert level proficiency (C1/C2) in English and Turkish</li></ul>
Salary: Up to $15 per hour
Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.
Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.
Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.
Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams. 
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.</div>

Generative AI Specialist - Bilingual (Turkish and English)

CapsLock

<div>CapsLock is a global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We solve complex sales challenges across a wide range of industries, primarily for large North American partners. By integrating our expertise in Digital Marketing, IT, Design, AI-driven analytics, proprietary MarTech, and sales consulting we deliver powerful, data-informed customer acquisition solutions. 
At CapsLock, people, technology, and forward-thinking innovation lie at the heart of everything we do. Our core values guide our approach to building and refining an internal product ecosystem that powers profitable acquisition models, flexible scaling, and optimized operations. Our diverse, global team, fluent in over 10 languages, thrives on open collaboration and the exchange of new ideas, pushing boundaries to ensure our clients&rsquo; success. 
Role overview:
Our Design department is scaling its AI visual production capabilities and we're looking for a Generative AI Design Specialist who will create visual content for international campaigns, combining deep technical expertise in AI workflows with a strong visual sensibility for high-end marketing creative. 
You will be responsible for the technical &quot;backend&quot; of our creative process: from advanced visual research and trend analysis to building the precision workflows that ensure our content resonates with target audiences. You won't just &quot;generate images&quot; - you will architect the logic and systems designed to produce photorealistic, aesthetically superior visuals. We value visual perfection over raw volume. 
You will work closely with video editors, media production, and media buyers to ensure all AI-generated assets are production-ready and true to client brand guidelines and product specifications. 
Responsibilities:<ul><li>
Design and implement advanced, repeatable node-based workflows to ensure production stability, style consistency, and high-fidelity output.</li><li>
Produce high-fidelity photorealistic visuals and elements optimized for performance marketing campaigns.</li><li>
Analyze visual trends and audience data to ensure AI-generated content is tailored to specific target groups and niches.</li><li>
Train and fine-tune custom models (LoRAs) to maintain visual identity and consistency across different products.</li><li>
Oversee technical quality control to ensure assets are free of hallucinations, anatomical errors, and style inconsistencies.</li><li>
Monitor the AI tools landscape, identify relevant solutions, and recommend new techniques to improve production quality.</li><li>
Develop and maintain internal &quot;best practice&quot; libraries, prompt structures, and documentation to ensure repeatable, professional-grade output.</li></ul> 
Requirements: 
 
Skills &amp; Background<ul><li>
Background in design, photography, or visual production with a deep understanding of professional lighting, composition, and material textures.</li><li>
2+ years of hands-on experience producing commercial marketing assets with generative AI tools - delivered work, not just experimentation.</li><li>
Mastery of modern generative AI tools (ComfyUI, Weavy AI, Flora.ai, Runway, or similar platforms) with hands-on experience building custom workflows using visual coding interfaces.</li><li>
Proven experience with LoRA training and dataset preparation - from data curation to model output evaluation.</li><li>
Cross-platform proficiency, experience in connecting AI outputs with traditional design pipelines (Figma, Adobe Creative Suite).</li><li>
Methodical approach to AI production, ability to transform experimental tasks into logical, repeatable, and documented systems.</li><li>
Understanding of motion logic, ability to generate static assets that maintain structural integrity for subsequent AI video animation.</li><li>
Strong portfolio of AI-generated visuals demonstrating photorealistic quality and high-end visual sensibility.</li><li>
Confident English (B2 or higher)</li></ul>
Nice to Have<ul><li>
Experience with advanced generation and control techniques such as ControlNet, IP-Adapter, or inpainting.</li><li>
Experience producing creative assets for high-CPA verticals (home services, insurance, finance, or similar).</li><li>
Comfortable working in a fast-moving environment with evolving priorities.</li></ul> 
IMPORTANT!
Please note, that we can only consider candidates, who can share examples of their recent work. Please add such examples in your CV or attach as a separate portfolio/link.
﻿Please also note that Cover Letter and Personal note are NOT required, so you can skip these lines in the applying form.
﻿
What we offer<ul><li>
Remote Work - we offer a truly and fully remote environment. You choose where you are the most productive and comfortable to have an impact.</li><li>
Paid vacations - generous paid vacation policy to ensure you have time to recharge</li><li>
Unlimited Sick Days - we understand that being only human means getting sick or feeling under the weather from time to time, so we guarantee you time off as long as you need to recover and get back on your feet.</li><li>
Ongoing Learning - people at CapsLock are deeply inquisitive and eager to learn new knowledge and skills, that's why we support and create learning opportunities like the Free Books program, workshops, conferences, and more.</li><li>
Home Office - we will cover the equipment and furniture expenses to make sure you have the best work-from-home experience.</li><li>
Physical Well&ndash;Being - We will cover costs of your medical insurance. Additionally we offer an allowance for a flexible fitness program.</li><li>
Fun Stuff - there is never a shortage of fun stuff</li></ul></div>

Generative AI Design Specialist

Taraki

<div>
 Our client
 
 oladoc
 
 is looking for
 
 Generative AI Video &amp; Content Specialist
 
 in
 
 Lahore.
 
 
 
 
 Job Overview
 
 
 
 We are looking for a highly skilled AI Content Specialist &amp; Video Editor with a strong command of generative AI video and image models. The ideal candidate knows how to prompt, control, and enhance AI-generated visuals and turn them into high-quality, cinematic, social-media-ready videos.
 
 
 This role is for someone who understands that AI output quality depends on prompting, reference control, motion consistency, and post-editing, not just clicking
 
 generate
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Generate high-quality videos using AI video models
 </li>
 <li>
 Convert AI clips into polished final videos through editing
 </li>
 <li>
 Generate high-quality images using tools
 </li>
 <li>
 Create character-consistent images for video-to-video workflows
 </li>
 <li>
 Edit AI-generated and real footage
 </li>
 <li>
 Add sound design, captions, transitions, and motion graphics
 
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong understanding of AI video generation workflows
 </li>
 <li>
 Proven ability to generate clean, realistic, and stable AI videos
 </li>
 <li>
 Experience with prompt engineering for video models
 </li>
 <li>
 Hands-on experience with Google Veo 3, Kling AI, Image fx, Nano
 </li>
 <li>
 Banana Pro, Premiere Pro, After Effects, CapCut, DaVinci Resolve
 </li>
 <li>
 Experience with AI image generation tools is a plus
 </li>
 <li>
 Strong video editing skills
 </li>
 <li>
 Creative mindset with technical AI knowledge
 
 </li>
 </ul>
</div>

Generative AI Video & Content Specialist - oladoc

MASTER-WORKS

<div>Job Description:
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
Tools &amp; Technologies: Dataiku, Sql server, Power bi, and aws bedrock
Key Responsibilities:<ul><li>
Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.</li><li>
Implement feature engineering, model selection, tuning, and evaluation techniques.</li></ul><ul><li>
Develop, and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).</li><li>
Monitor model performance, data drift, and model decay; retrain models as needed.</li><li>
Ensure models meet reliability, scalability, and security standards.</li><li>
Work closely with Data Scientists, Product Managers, and Software Engineers.</li><li>
Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.</li><li>
Optimize models for latency, throughput, and cost.</li><li>
Implement experimentation frameworks (A/B testing, offline evaluation).</li><li>
Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 
Requirements 
Requirements &amp; Qualifications:<ul><li>
+4 years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).</li><li>
Solid understanding of ML algorithms (supervised, unsupervised, deep learning).</li><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>
Experience deploying models using Docker, Kubernetes, or cloud ML services.</li><li>
Strong knowledge of data structures, algorithms, and software engineering principles.</li><li>
Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).</li><li>
Experience with big data technologies (Spark, Kafka, Databricks).</li><li>
Background in NLP, Computer Vision, or Generative AI.</li><li>
Strong problem-solving and analytical thinking</li><li>
Production-first mindset</li><li>
Data-driven decision making</li><li>
High Collaboration and communication skills</li></ul></div>

AI developer

ExxonMobil

<div>About us 
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. 
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about our What and our Why and how we can work together.<div><div><div><h2 class="jobSectionHeader">
About Houston</h2></div><div>
ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors. 
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry. 
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston. 
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities. 
Learn more about what we do in Houston here.</div></div><div><div><h2 class="jobSectionHeader"> 
What role you will play in our team</h2></div><div> 
<ul><li>
Work on complex AI use cases from ideation and discovery through deployment and sustainment as part of integrated, enterprise-level teams.</li><li>
Collaborate with ExxonMobil subject matter experts to strengthen organizational capabilities in AI/ML.</li><li>
Support business teams in making impactful, data-driven decisions.</li></ul></div></div><div><div><h2 class="jobSectionHeader"> 
What you will do</h2></div><div> 
<ul><li>
Lead the scoping, design, development, and deployment of AI/ML solutions, primarily focused on Generative AI applications for commercial, trading and supply chain operations.</li><li>
Collaborate with data and machine learning engineers to operationalize models and ensure seamless integration with existing digital infrastructure.</li><li>
Build and deploy AI system components (such as chatbots, agents, and other workflow automation components) capable of interacting with diverse data sources and providing insightful information to users.</li><li>
Develop and implement solutions involving orchestration of multiple AI agents to achieve complex tasks.</li><li>
Apply domain knowledge and physical principles to improve model accuracy and reliability.</li><li>
Contribute to the growth of internal AI capabilities by sharing expertise and developing best practices.</li><li>
Provide technical mentorship and guidance to colleagues across teams.</li><li>
Work closely with team leads and subject matter experts to align on project priorities, strategy, and solution design.</li><li>
Optimize end to end AI solutions to enhance performance, usability, and cost</li><li>
Work closely with business to understand business problem and translate that into mathematical framework. Also, work with business to help enhance business adaptability for the solution.</li><li>
Validate AI system responses, including troubleshooting prompt engineering, agentic workflows and other aspects of a GenAI system.</li><li>
Develop process and automation for accelerating validation of AI systems, while ensuring the proper degree of accuracy is maintained.</li></ul></div></div><div><div><h2 class="jobSectionHeader"> 
About You</h2></div><div> 
Skills / Qualifications 
<ul><li>
Advanced degree (Master&rsquo;s or PhD) in Data Science, Computer Science, Engineering, or a related field</li><li>
5+ years of professional experience in developing and deploying AI/ML solutions, with a strong emphasis on generative AI technologies and a solid background in applying these methods to physical systems and engineering workflows.</li><li>
Deep expertise in natural language processing (NLP), large language models (LLMs), and building agentic workflows for Generative AI with the ability to understand underlying mathematics and develop novel algorithms.</li><li>
Solid understanding of knowledge graphs, ontologies, and semantic technologies.</li><li>
Solid foundation and experiences in AI/ML on data processing, probability and statistics, EDA, feature engineering, modeling strategy, model development, and explainable AI.</li><li>
Proven track record of successfully developing and deploying multiple end-to-end Generative AI solutions, notably multi-agent systems, in business environments.</li><li>
Proficient in Python and widely used ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li><li>
Proficient in Generative AI frameworks such as Langchain, Promptflow, or Copilot Studio</li><li>
Proven ability to uncover meaningful insights from complex datasets.</li><li>
Strong drive toward hands-on testing of hypotheses and rapid validation of assumptions through data.</li><li>
Strong communication, collaboration, and problem-solving skills..</li></ul> 
Preferred Knowledge/Skills 
<ul><li>
Experience in the energy industry, with a focus on commercial, supply chain, oil &amp; gas trading or similar business</li><li>
Experience in implementing hybrid search systems in conjunction with Large Language Models, e.g. Retrieval Augmented Generation (RAG) solutions.</li><li>
Proficient in using the Databricks platform, Azure Open AI, Azure managed NLP services and OCR technologies.</li><li>
Demonstrated ability to thrive in a collaborative Agile product team setting.</li></ul></div></div><div><div><h2 class="jobSectionHeader"> 
Your Benefits</h2></div><div>
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. 
We offer you: 
<ul><li>
Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.</li><li>
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.</li><li>
Workplace Flexibility: We have several programs such as &ldquo;Flex your Day&rdquo;, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.</li><li>
Comprehensive medical, dental, and vision plans.</li><li>
Culture of Health: Programs and resources to support your wellbeing.</li><li>
Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.</li><li>
Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.</li></ul> 
More information on our Company&rsquo;s benefits can be found at www.exxonmobilfamily.com. 
Please note benefits may be changed from time to time without notice, subject to applicable law.</div></div><div><div><h2 class="jobSectionHeader"> 
Stay connected with us</h2></div><div> 
Learn more at our website 
Follow us on LinkedIN and Instagram 
Like us on Facebook 
Subscribe our channel at YouTube</div></div><div><div><h2 class="jobSectionHeader"> 
Employee Equal Opportunity</h2></div><div> 
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.</div></div></div> 
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
Job ID: 81336</div>

GenAI Data Scientist, Commercial, Supply Chain & Trading

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about Machine Learning, Deep Learning, and Artificial Intelligence? Join AWS as a Generative AI and Machine Learning Specialist Solutions Architect in the MENAT region, where you'll drive cutting-edge AI initiatives and business transformation. As a Subject Matter Expert for designing machine learning solutions, you'll leverage AWS services to automate solutions and reduce costs for customers.
 
 
You'll partner closely with GenAI/ML specialist sales teams along with field teams to enable large-scale customer use cases and drive adoption of AWS GenAI/ML solutions. Your expertise will shape machine learning architectures, develop technical assets, and create field enablement materials that help other Solutions Architects integrate AWS GenAI/ML solutions into customer environments. This role offers an exciting opportunity to be at the forefront of GenAI innovation in a region implementing numerous transformative AI initiatives. 
 
Key job responsibilities 
<ul><li>Design and architect scalable, secure, and innovative GenAI solutions that leverage AWS services to solve complex customer challenges and drive business transformation.</li><li>Build and maintain technical trusted advisor relationships with influential technical decision makers for successful adoption and deployment of AWS GenAI/ML services and technologies.</li><li>Evangelize current and future AWS GenAI and ML services through white papers, blogs, reference implementations, and presentations to enable customers and partners.</li><li>Capture and share best-practice knowledge amongst the AWS solutions architect community, creating field enablement materials for the broader SA population.</li><li>Work collaboratively with sales teams to create and execute business plans that accelerate AWS adoption, exceed revenue goals, and drive customer satisfaction with GenAI/ML solutions.</li></ul> 
A day in the life 
Your day begins with a technical deep dive with a customer's AI team to understand their GenAI requirements and propose architecture solutions using Amazon Bedrock and SageMaker. Later, you'll collaborate with sales colleagues on business plans for driving AI adoption, then spend time developing a reference architecture for a RAG solution that addresses common customer needs. You might finish by drafting a technical blog on implementing ML solutions or conducting a workshop to demonstrate AI capabilities to potential customers. 
 
About the team 
You'll join AWS's innovative team in the MENAT region where numerous AI initiatives are being driven. As part of the AGS MENAT Specialist organization, you'll work alongside talented technical professionals who are transforming how businesses leverage AI technologies. The team fosters an inclusive culture that values continuous learning and professional growth, providing opportunities to collaborate on groundbreaking projects that shape the future of AI adoption across diverse industries in the region.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2>
- - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 5+ years of professional or military experience 
- - 10+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience 
- - Experience building services using AWS products 
- - Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic workflows. 
- - Proficiency in Python and experience with GenAI frameworks (LangChain, LlamaIndex, etc.) and model APIs. 
- - Experience participating in the sales lifecycle (directly or indirectly) for GenAI solutions. 
- - Experience in leading executive briefings and customer workshops focused on GenAI strategy, use case development, and prototype demonstrations.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2>
- - Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD 
- - Experience prioritizing competing demands, scoping large efforts, and negotiating timelines 
- - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry 
- - Experience conveying complex technical concepts to both technical and business audiences 
- - Publications or presentations in recognized GenAI, NLP, or ML journals or conferences. 
- - Hands-on experience architecting and deploying production GenAI solutions in secure or regulated environments. 
- - Deep technical expertise with AWS GenAI services including Amazon Bedrock (Claude, Llama, Titan models), Amazon SageMaker JumpStart, Amazon Q, and related AWS services (Lambda, Step Functions, ECS/EKS, API Gateway). 
- - Experience with GenAI security patterns, responsible AI practices, and model governance. 
- - Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of GenAI Solutions into top accounts. 
- - Ability to think strategically about business, product, and technical problems in the GenAI space and develop strategic, data-driven approaches. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Solutions Architect III, AGS MENAT Specialist Team

Search 10000+ Generative ai specialist jobs near you this April. New roles added regularly across leading industries. Apply today.

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Solutions Architect III, AGS MENAT Specialist Team