qa engineer

ai engineer

ai developer

consultant

cx solution sales expert

ai expert

Cognizant

Job Summary
 We are seeking a versatile and highly skilled AI Expert to join our innovative team. This role requires a unique blend of expertise in Large Language Models (LLMs) on the Azure platform and the application of AI in 3D modeling. The ideal candidate will be a creative technologist passionate about pushing the boundaries of generative AI, from developing intelligent Copilot agents to creating immersive 3D worlds. You will be responsible for designing, developing, and deploying cutting-edge AI solutions that span conversational AI and advanced 3D content generation.
 Key Responsibilities
 Holistic AI Solution Design: Architect and implement end-to-end AI solutions that leverage the full spectrum of generative AI, including both language and visual modalities.
 
Conversational & Agentic AI: 
Design and develop sophisticated conversational AI agents using Microsoft Copilot Studio and the Azure AI ecosystem (including Azure OpenAI Service).
 Build and implement LLM-based applications, leveraging frameworks like LangChain for complex Retrieval-Augmented Generation (RAG) and agentic workflows.
 
Integrate AI agents with enterprise data sources (e.g., SharePoint, SQL Server) and automate business processes using Power Automate.
 
AI for 3D Modeling: 
Utilize and develop AI-powered tools to assist, automate, and enhance the creation of high-quality 3D models.
 Design, implement, and train large-scale generative models (e.g., diffusion models) for generating 3D assets and environments from text or 2D images.
 Create and manage scalable data pipelines for large, unstructured, multi-modal data sources (text, images, 3D models) to fuel machine learning initiatives.
 
MLOps & Collaboration: 
Take ownership of the full lifecycle of ML models, including deployment, containerization, CI/CD, and performance monitoring.
 Collaborate closely with business stakeholders, designers, and research teams to translate product requirements into a cohesive technical roadmap.
 Qualifications
 Experience: 5+ years of hands-on experience in AI/ML engineering or data science, with a proven track record of building and deploying complex AI solutions.
 
Core Technical Skills: 
Proficiency in Python and common ML/DL libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 Strong experience with the Azure AI/Data ecosystem, particularly Azure Machine Learning and Azure OpenAI Service.
 
Generative AI Expertise: 
Hands-on experience with Microsoft Copilot Studio and building conversational agents.
 Experience with generative models (GANs, Diffusion Models, LLMs) is a significant plus.
 
3D Modeling Skills: 
A strong portfolio showcasing 3D modeling work is highly desirable.
 Familiarity with 3D modeling software (e.g., Blender, Maya, ZBrush) and computational geometry is a plus.
 
Education : 
Bachelor's or Master's degree in Computer Science, Engineering, Graphic Design, or a related technical discipline.

AI Expert

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 
<ul><li>
Work directly with customers from the Oil, Gas &amp; Energy industry and the Chemicals industry in KSA to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
</li><li>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/ integration (SAP Business AI/ BTP services), and UI/process integration.
</li>Run agile cycles (PoC pilot<li> production), gather user feedback, and drive adoption in real business processes.
</li><li>Act as the &ldquo;bridge&rdquo; between Riyadh Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
</li><li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region.</li></ul> 
Core responsibilities / expectations:
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus.<ul><li>
Strong software engineering background (e.g., Python/ Java/ TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).</li><li>
Solid grounding in data and AI/ ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li><li>
End to End process knowledge of relevant fundamental Oil &amp; Gas processes such as Asset Management., Finance, Procurement, Logistics in Up-, Mid- and Downstream.</li><li>
End to End process knowledge of relevant fundamental Chemicals processes in Product Lifecycle Management, Production Planning, Environmental, Health &amp; Safety.</li><li>
Knowledge of the utilities market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio</li><li>
Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.</li><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Meet your Team:
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia and the United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters.
This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450207 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Product Expert for Oil & Gas

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 
<ul><li>
Work directly with Defense and Security customers in KSA to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
</li><li>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
</li>Run agile cycles (PoC pilot<li> production), gather user feedback, and drive adoption in real business processes.
</li><li>Act as the &ldquo;bridge&rdquo; between Riyadh Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
</li><li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region.</li></ul> 
Expectations and tasks:
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus. 
<ul><li>
Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li><li>
End to End process knowledge of fundamental Defense and Security processes such as Force Deployment and Logistics, Disconnected Operations, and Defense Supply Chain.</li><li>
Knowledge of the Defense &amp; Security market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio</li><li>
Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.</li><li>
Strong software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, logistics, HR, supply chain, defense solution).</li><li>
Prototyping skills with tools like Claude Code or FIGMA.</li><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Where you belong: 
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters.
This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450206 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Product Expert for Defense and Security

Projecttech

<div><div><div><div>Location : Riyadh, Saudi Arabia
 
Industry: Real Estate / Large Assets / Construction
Availability: Immediate
Role Overview
The AI &amp; Data Science Expert designs and deploys data-driven and AI-powered solutions for large real estate assets and construction projects. The role focuses on operational value, not theoretical models. This position supports developers, asset owners, and operators in leveraging data across the full asset lifecycle: design, construction, commissioning, operations, and optimization of large and complex assets (districts, malls, campuses, infrastructure portfolios).
Key Responsibilities
AI &amp; Data Strategy
<ul><li>Define AI and data strategies aligned with real estate and construction business objectives.</li>
<li>Identify high-value use cases: predictive maintenance, energy optimization, space utilization, cost and schedule forecasting, safety analytics, asset performance optimization.</li>
<li>Translate business and operational needs into data models and AI use cases.</li>
</ul>Data Architecture &amp; Analytics
<ul><li>Design data architectures integrating BIM, GIS, IoT, BMS, CMMS, ERP, and operational systems.</li>
<li>Structure and manage large, heterogeneous datasets coming from construction sites and operating assets.</li>
<li>Ensure data quality, governance, and interoperability across platforms.</li>
</ul>AI Model Development &amp; Deployment
<ul><li>Develop, train, and validate machine learning and AI models applicable to real estate and construction environments.</li>
<li>Deploy AI solutions that are scalable, explainable, and operationally usable.</li>
<li>Work with IT and platform teams to integrate models into production systems and dashboards.</li>
</ul>Construction &amp; Asset Lifecycle Integration
<ul><li>Support AI-driven decision-making during design, construction, and operations.</li>
<li>Analyse construction performance (cost, schedule, productivity, risk).</li>
<li>Enable asset operators with predictive and prescriptive analytics.</li>
</ul>Stakeholder &amp; Project Support
<ul><li>Work closely with project managers, engineers, asset managers, and operators.</li>
<li>Support tenders, RFPs, and technology evaluations with AI and data expertise.</li>
<li>Present insights and recommendations to non-technical stakeholders.</li>
</ul>Required Profile
Background &amp; Experience
<ul><li>Proven experience as a Data Scientist / AI Expert in real estate, construction, infrastructure, or large asset environments.</li>
<li>Direct exposure to construction projects, asset operations, or large portfolios is mandatory.</li>
<li>Experience working with complex, imperfect, real-world data (not clean academic datasets).</li>
</ul>Technical Skills
<ul><li>Strong expertise in:
<ul><li>Machine learning and applied AI</li>
<li>Data engineering and analytics pipelines</li>
<li>Time-series analysis and predictive modelling</li>
</ul></li><li>Experience with BIM, digital twins, IoT data, or building systems is a strong advantage.</li>
<li>Understanding of cloud-based data platforms and scalable architectures.</li>
</ul>Business &amp; Operational Mindset
<ul><li>Ability to link AI outcomes to cost reduction, performance improvement, and asset value.</li>
<li>Comfortable working with engineers, construction teams, and operations staff.</li>
<li>Pragmatic, delivery-focused, capable of moving from prototype to deployment.</li>
</ul></div><div><div><div><div>Job Category: Construction Large Assets Real Estate
</div><div>Job Type: Engineering Management
</div><div>Job Location: Riyadh Saudi Arabia</div></div></div></div></div></div></div>

AI & Data Science Expert (J26-53)

Confidential Government

<div>
 
 We are seeking a highly experienced Artificial Intelligence (AI) expert with over six years of proven experience in designing, developing, and implementing AI and machine learning solutions, as well as managing AI products. The ideal candidate will have a strong understanding of government sector needs and the ability to translate them into practical, scalable use cases. This role will play a key part in enhancing government services, improving operational efficiency, and enabling data-driven decision-making, in alignment with national digital transformation and AI strategies, as well as AI ethics standards.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Lead and manage a team of data scientists and AI engineers to design, develop, and deploy AI-driven solutions.
 </li>
 <li>
 Collaborate with various departments to identify opportunities where AI can enhance service delivery and operational performance.
 </li>
 <li>
 Translate business needs and operational challenges into actionable AI use cases with defined KPIs and measurable impact.
 </li>
 <li>
 Develop and maintain the AI roadmap, ensuring alignment with organizational and national digital strategies.
 </li>
 <li>
 Oversee the full lifecycle of AI projects, from proof of concept (PoC) to production deployment.
 </li>
 <li>
 Evaluate and select appropriate tools, technologies, and models across machine learning, deep learning, NLP (Arabic), computer vision, generative AI, and LLMs.
 </li>
 <li>
 Ensure compliance with data governance, privacy, cybersecurity, and AI ethics standards and regulations.
 </li>
 <li>
 Implement best practices in data engineering and MLOps to ensure scalability, reliability, and sustainability of AI solutions.
 </li>
 <li>
 Mentor team members and contribute to building internal AI capabilities.
 </li>
 <li>
 Prepare and present reports to senior leadership on project progress, outcomes, and business impact.
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
 </li>
 <li>
 Minimum of 6+ years of experience in AI/ML development and implementation.
 </li>
 <li>
 Proven experience in leading cross-functional teams and delivering AI solutions at scale.
 </li>
 <li>
 Strong knowledge of machine learning, deep learning, NLP (preferably Arabic), and AI product management.
 </li>
 <li>
 Experience working within or with government entities is highly preferred.
 </li>
 <li>
 Familiarity with data governance, cybersecurity, and AI ethics frameworks.
 </li>
 </ul>
 
 
 
 
 Key Skills:
 
 <ul>
 <li>
 Strategic thinking and problem-solving
 </li>
 <li>
 Leadership and team management
 </li>
 <li>
 Stakeholder management and communication
 </li>
 <li>
 Data-driven decision-making
 </li>
 <li>
 Project and product management
 </li>
 </ul>
</div>

Artificial Intelligence Lead

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 An AI Expert is a highly experienced professional with deep and broad knowledge across artificial intelligence who provides advanced guidance, mentorship, and problem‑solving on complex or cross‑cutting AI initiatives. &ldquo;AI Senior Consultant&rdquo; is the go‑to person (internal or external) who can connect the dots between AI domains and keep programs state‑of‑the‑art while aligning with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Technical advisory: Advise on hard AI problems, evaluate modeling approaches/architectures, and troubleshoot issues (e.g., training instability, non‑convergence, data leakage). Review project plans and model designs for soundness.
 </li>
 <li>
 Thought leadership &amp; strategy: Identify high‑value opportunities for AI, assess emerging technologies, and recommend strategic directions (e.g., where to invest in new capabilities or data assets).
 </li>
 <li>
 Cross‑department collaboration: Liaise across projects to avoid duplicated effort, share approaches, and translate AI capabilities/limitations for executives and non‑technical stakeholders.
 </li>
 <li>
 R&amp;D and innovation: Stay current with research, prototype novel ideas, and participate in external communities (conferences, publications, open‑source) to keep practices cutting edge.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: Typically 5+ years in AI/ML (fewer if experience includes significant, high‑impact contributions across multiple projects).
 </li>
 <li>
 Portfolio: Evidence of impact such as patents, publications, open‑source contributions, or high‑profile project outcomes.
 </li>
 <li>
 External recognition: Speaking engagements, standards/consortium participation, or similar indicators of recognized expertise.
 </li>
 <li>
 Teaching/mentoring: Demonstrated experience coaching teams and institutionalizing best practices.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
 
 
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
</div>

AI Consultant

<div>00068342221
<ul><li>Date published Apr 27 2026
</li><li>Location Riyadh / Saudi Arabia
</li><li>Job category Technology &amp; Engineering
</li><li>Work model Work from Office
</li></ul><div><div><div><div>Job Summary
We are seeking a versatile and highly skilled AI Expert to join our innovative team. This role requires a unique blend of expertise in Large Language Models (LLMs) on the Azure platform and the application of AI in 3D modeling. The ideal candidate will be a creative technologist passionate about pushing the boundaries of generative AI, from developing intelligent Copilot agents to creating immersive 3D worlds. You will be responsible for designing, developing, and deploying cutting-edge AI solutions that span conversational AI and advanced 3D content generation.
Key Responsibilities<ul><li>
Holistic AI Solution Design: Architect and implement end-to-end AI solutions that leverage the full spectrum of generative AI, including both language and visual modalities. 
</li><li>Conversational &amp; Agentic AI:<ul><li>
Design and develop sophisticated conversational AI agents using Microsoft Copilot Studio and the Azure AI ecosystem (including Azure OpenAI Service).</li><li>
Build and implement LLM-based applications, leveraging frameworks like LangChain for complex Retrieval-Augmented Generation (RAG) and agentic workflows.</li>
Integrate AI agents with enterprise data sources (e.g., <li>Point, SQL Server) and automate business processes using Power Automate.</li></ul></li><li>
AI for 3D Modeling:<ul><li>
Utilize and develop AI-powered tools to assist, automate, and enhance the creation of high-quality 3D models.</li><li>
Design, implement, and train large-scale generative models (e.g., diffusion models) for generating 3D assets and environments from text or 2D images.</li><li>
Create and manage scalable data pipelines for large, unstructured, multi-modal data sources (text, images, 3D models) to fuel machine learning initiatives.</li></ul></li><li>
MLOps &amp; Collaboration:<ul><li>
Take ownership of the full lifecycle of ML models, including deployment, containerization, CI/CD, and performance monitoring.</li><li>
Collaborate closely with business stakeholders, designers, and research teams to translate product requirements into a cohesive technical roadmap.</li></ul></li></ul>
Qualifications<ul><li>
Experience: 5+ years of hands-on experience in AI/ML engineering or data science, with a proven track record of building and deploying complex AI solutions.</li><li>
Core Technical Skills:<ul><li>
Proficiency in Python and common ML/DL libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong experience with the Azure AI/Data ecosystem, particularly Azure Machine Learning and Azure OpenAI Service.</li></ul></li><li>
Generative AI Expertise:<ul><li>
Hands-on experience with Microsoft Copilot Studio and building conversational agents.</li><li>
Experience with generative models (GANs, Diffusion Models, LLMs) is a significant plus.</li></ul></li><li>
3D Modeling Skills:<ul><li>
A strong portfolio showcasing 3D modeling work is highly desirable.</li><li>
Familiarity with 3D modeling software (e.g., Blender, Maya, ZBrush) and computational geometry is a plus.</li></ul></li><li>
Education: Bachelor's or Master's degree in Computer Science, Engineering, Graphic Design, or a related technical discipline.
</li></ul>The Cognizant community:
 
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
<ul>
<li>Cognizant is a global community with more than 300,000 associates around the world.</li>
<li>We don&rsquo;t just dream of a better way &ndash; we make it happen.</li>
<li>We take care of our people, clients, company, communities and climate by doing what&rsquo;s right.</li>
<li>We foster an innovative environment where you can build the career path that&rsquo;s right for you.</li>
</ul>
About us:
 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization&rsquo;s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersIndia2@cognizant.com with your request and contact information.

Disclaimer:
 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. 
</div></div><div><div><div>
<div> d</div></div></div></div></div></div></div><div></div>

Microsoft Azure - AI

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