ai architect

Excellanto Ventures Pvt Ltd

AI Architect (Remote)Experience: 10+ Years Job Type: Full-Time, Remote (India)About the RoleWe are looking for an experienced AI Architect to lead the design, architecture, and implementation of Generative AI solutions on AWS and Azure cloud platforms. This role is ideal for someone who thrives on innovation, enjoys solving complex problems, and wants to be at the forefront of AI-driven digital transformation.You&rsquo;ll work on RAG (Retrieval-Augmented Generation) models, agentic workflows, and AI agent-based architectures, collaborating with data scientists, ML engineers, and business stakeholders to build scalable enterprise-grade solutions.Key Responsibilities<ul><li>Architect and deploy scalable AI/ML and Generative AI systems using AWS &amp; Azure.</li><li>Build RAG pipelines, AI agent frameworks, and agentic workflows.</li><li>Collaborate with cross-functional teams to define solution architecture and strategy.</li><li>Evaluate and integrate emerging AI tools, models, and frameworks.</li><li>Provide technical leadership, governance, and mentoring.</li></ul>Must-Have Skills<ul><li>Strong expertise in AWS and Azure Cloud Architecture.</li><li>Advanced proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).</li><li>Proven experience in Generative AI, RAG, and AI Agent development.</li><li>Excellent communication and stakeholder management skills.</li></ul>Preferred Qualifications<ul><li>MBA from IIM or equivalent Tier-1 institute OR consulting background with technology focus.</li><li>Hands-on experience in AI consulting, pre-sales, or enterprise transformation programs.</li><li>Familiarity with vector databases (Pinecone, FAISS, Chroma) and MLOps tools.</li></ul>Why Join Us<ul><li>Work remotely on cutting-edge Generative AI initiatives.</li><li>Collaborate with global teams driving AI innovation.</li><li>Competitive compensation and growth opportunities.</li></ul>Job Types: Full-time, PermanentPay: &#8377;410,000.00 - &#8377;750,000.00 per monthBenefits:<ul><li>Flexible schedule</li><li>Work from home</li></ul>Work Location: Remote

AI Architect

Şişecam

<div>
 
 
 Sisecam was founded in 1935
 
 
 to establish Turkey&rsquo;s glass industry in line with the vision of
 
 
 Mustafa Kemal Atat&uuml;rk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals
 
 
 . Sisecam is the only global company
 
 
 operating in all core areas of glass production &ndash;
 
 
 including flat glass, glassware, glass packaging, and glass fiber. Currently, Sisecam ranks among the world&rsquo;s top two manufacturers of glassware and the top five producers of glass packaging and flat glass.
 
 
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 is one of the three largest soda ash producers in the world
 
 
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 the world leader in chromium chemicals.
 
 
 
 
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 business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey.
 
 
 
 
 Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activity
 
 
 , with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who ha
 
 
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 We are looking for an
 
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 AI Architect
 
 " to take part in &Scedil;i&scedil;ecam Headquarter located in Tuzla/&Idot;stanbul.
 
 
 
 
 
 The AI Architect is a pivotal strategic and technical leader who will be instrumental in bridging the gap between cutting-edge AI research and robust, scalable, production-ready solutions tailored for &Scedil;i&scedil;ecam's diverse business needs. This role is crucial for establishing the foundational architecture, best practices, and technological standards that will enable our data science team to deploy impactful AI solutions efficiently, securely, and reliably across the organization. This role will not only design systems but also critically assess, select, and integrate ready-to-use AI products and vendor solutions ('buy' strategy) alongside custom-built functionalities ('make' strategy). The ideal candidate would have the following qualifications:
 
 
 
 
 <ul>
 <li>
 BSc or MSc in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related quantitative field.
 </li>
 <li>
 8+ years of progressive experience in software architecture, with at least 3-5 years specifically focused on designing and deploying large-scale AI/ML systems in production environments.
 </li>
 <li>
 Demonstrable experience architecting solutions involving Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval Augmented Generation (RAG) patterns, or fine-tuning techniques.
 </li>
 <li>
 Proven experience in architecting and implementing MLOps frameworks and automated ML pipelines.
 </li>
 <li>
 Strong expertise with major cloud platforms (e.g., Microsoft Azure, AWS, GCP) and their respective AI/ML services.
 </li>
 <li>
 Proficiency in programming languages commonly used in AI/ML (e.g., Python) and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Proven experience with evaluating, selecting, integrating, and managing third-party AI products, platforms, or cloud-native AI services.
 </li>
 <li>
 Exceptional leadership, mentorship, and communication skills, with the ability to inspire and guide a young, dynamic team.
 </li>
 <li>
 A strategic thinker with a pragmatic approach to problem-solving and a strong focus on delivering business value through both custom builds and strategic partnerships.
 </li>
 <li>
 Ability to work effectively in a cross-functional, highly collaborative environment.
 </li>
 <li>
 Passionate about fostering an innovative culture and continuous learning, particularly in the fast-evolving field of Generative AI.
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain &Scedil;i&scedil;ecam&rsquo;s enterprise-wide AI architecture vision and roadmap, identifying key components, platforms, and integration points for scalable AI adoption.
 </li>
 <li>
 Strategic 'Buy vs. Make' Decisions: Lead the evaluation, selection, and integration of commercial off-the-shelf (COTS) AI products, platforms, and third-party vendor solutions, balancing these with custom-built components to optimize for speed, cost, and long-term maintainability.
 </li>
 <li>
 Generative AI Leadership: Define and champion the architectural strategy and roadmap for Generative AI (GenAI) adoption across &Scedil;i&scedil;ecam, identifying high-impact use cases and the necessary technical infrastructure for large language models (LLMs) and other generative capabilities.
 </li>
 <li>
 Design robust, scalable, secure, and performant end-to-end AI/ML systems, encompassing data ingestion, feature engineering, model training/evaluation, and deployment (real-time, batch, edge), monitoring, and retraining mechanisms.
 </li>
 <li>
 Architect scalable and secure solutions for Generative AI applications, including considerations for large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG) patterns, fine-tuning strategies, and model safety.
 </li>
 <li>
 Establish and standardize MLOps (Machine Learning Operations) practices, pipelines, and automation to streamline the entire ML lifecycle from experimentation to production.
 </li>
 <li>
 Provide strong technical leadership and architectural guidance to the data science team, steering them towards best practices in model deployment, system resilience, performance optimization, responsible AI, and advanced GenAI solution patterns.
 </li>
 <li>
 Work closely with IT infrastructure, cybersecurity, operational technology (OT) teams, embed security best practices into all AI architectures from the outset, protecting sensitive data and preventing unauthorized access or manipulation of AI models, including IP and data handling for GenAI.
 </li>
 </ul>
 
 
</div>

TriDevSofts

We're Hiring: GCP AI Architect (Contractual Role) (Remote)Are you passionate about building intelligent solutions on Google Cloud Platform? We're looking for a skilled GCP AI Architect to join our team and lead the design and deployment of cutting-edge AI/ML systems.What You'll Do:<ul><li>Architect scalable AI/ML solutions using GCP services like Vertex AI, BigQuery, and TensorFlow</li><li>Collaborate with data scientists and engineers to bring models into production</li><li>Ensure best practices in cloud security, performance, and cost optimization</li></ul>What We're Looking For:<ul><li>Proven experience with GCP AI/ML tools and architecture</li><li>Strong understanding of data pipelines, model lifecycle, and MLOps</li><li>Excellent communication and problem-solving skills</li></ul>Note: This is a contractual position &mdash; only candidates interested in contract-based work should apply.Job Types: Contractual / Temporary, Freelance Contract length: 6 monthsWork Location: Remote

GCP AI Architect

Shag Infotech Pvt. Ltd.

Job Summary: Shag Infotech is looking for an experienced AI Architect to design and implement advanced AI systems that enhance our IT and marketing solutions. The ideal candidate will combine deep technical expertise with strategic thinking to build scalable, AI-driven platforms and solutions.Key Responsibilities:<ul><li>Design, develop, and implement AI architectures and frameworks for business and marketing applications.</li><li>Collaborate with data scientists, engineers, and product teams to integrate AI solutions into production.</li><li>Lead AI strategy, ensuring scalable and robust AI systems aligned with business goals.</li><li>Evaluate and implement emerging AI technologies and tools.</li><li>Ensure AI models are reliable, secure, and optimized for performance.</li><li>Provide technical guidance and mentorship to AI and ML teams.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>5+ years of experience in AI/ML architecture, data engineering, or AI solution design.</li><li>Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras) and cloud platforms (AWS, Azure, GCP).</li><li>Experience designing scalable AI systems and deploying production-level AI models.</li><li>Solid understanding of NLP, deep learning, computer vision, or recommendation systems.</li><li>Excellent problem-solving, communication, and leadership skills.</li></ul>What We Offer:<ul><li>Opportunity to lead cutting-edge AI projects in IT and marketing.</li><li>Collaborative, innovation-driven work environment.</li><li>Competitive salary with performance-based incentives.</li></ul>Job Type: Full-timeWork Location: In person

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
We&rsquo;re looking for a Senior AI Architect to lead the creation of a transformative AI capabilities in the Supply Chain domain. You&rsquo;ll architect scalable, secure, high-performance AI, ML, and LLM solutions, integrating cutting-edge generative AI to boost decision-making, streamline workflows, and solve some of the most complex campaign-level modeling challenges in the defense space. If you thrive at the intersection of AI innovation, technical leadership, and mission impact, this is your chance to invent the future Supply Chain from concept to operational deployment. Bring your expertise, shape the strategy, mentor top talent, and push the boundaries of what&rsquo;s possible in AI.<h1 class="jobSectionHeader">
Job Description</h1>
Roles and Responsibilities
In this role, you will:<ul><li>
Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.</li><li>
Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.</li><li>
Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Plam2, Meta Llama2 or Llama3.</li><li>
Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.</li><li>
Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the required performance, precision, and scalability.</li><li>
Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.</li><li>
Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.</li><li>
Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.</li><li>
Conduct frequent code assessments and provide technical mentorship to less experienced team members.</li><li>
Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.</li><li>
Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments.</li><li>
Document Generative AI design choices and technical specifications for reference and knowledge dissemination.</li></ul>
Minimum Required Qualifications:
<ul><li>Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) from an accredited college or university
</li><li>Minimum of 5 years of AI/ML/Software Engineering Development experience</li><li>
GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.</li></ul>
Desired Characteristics and Experience:
Technical Expertise:<ul><li>
Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level</li><li>
Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business.</li><li>
Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.</li><li>
Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth.</li><li>
Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating.</li><li>
Able to lead early-stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments.</li></ul> 
Business Acumen:<ul><li>
Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates</li><li>
Understand how internal and/or external business model works and facilitate active customer engagement</li><li>
Able to articulate the value of what is most important to the business/customer to achieve outcomes</li><li>
Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts</li><li>
Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level</li></ul> 
Leadership:<ul><li>
Demonstrated working knowledge of internal organization</li><li>
Foresee obstacles, identify workarounds, leverage resources, rally teammates.</li><li>
Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.</li><li>
Demonstrated Change Management /Acceleration capabilities</li><li>
Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels</li><li>
Proven analytical and problem resolution skills</li><li>
Ability to influence and build consensus with other Digital Technology teams and leadership</li></ul>
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div></div></div></div></div></div><div><div><div><div><div><div><div>
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</div></div></div></div></div></div></div><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>
#LI-Remote - This is a remote position</div>

Senior AI Architect

GE HealthCare

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
GE HealthCare has embarked on a Gen AI journey to transform the company and is looking for an AI Architect to design the foundation and strategy for the program working directly with the Chief Data Officer (CDO). 
As the AI Architect, you will play a pivotal role in designing, developing, and deploying generative AI solutions that align with GE HealthCare's strategic objectives. You will collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to drive innovation and ensure the successful implementation of AI-driven initiatives. You will be responsible for architecting scalable AI models and systems that deliver tangible business value, while also establishing best practices for the ethical and responsible use of AI technologies.<h1 class="jobSectionHeader">
Job Description</h1>
Key Responsibilities:
Architectural Design and Strategy:<ul><li>
Develop and maintain the foundational architecture for generative AI initiatives, ensuring scalability, security, and efficiency.</li><li>
Define the technical roadmap for generative AI capabilities, aligning with business objectives and CDO technology strategies.</li><li>
Collaborate with stakeholders to gather requirements, provide technical guidance, and deliver AI solutions that meet business needs.</li><li>
Define, deploy, and advance processes for: AI/ML development, MLOps, LLMOPs, and the monitoring, observability, security, and maintainability of AI models.</li></ul>
Infrastructure and Deployment:<ul><li>
Design and implement the infrastructure required to support generative AI models, including cloud-based solutions, data pipelines, and data storage platforms.</li><li>
Ensure seamless integration of AI models into production environments, enabling real-time and batch processing capabilities.</li></ul>
Leadership and Best Practices:<ul><li>
Mentor a team of engineers and data scientists in the development and deployment of generative AI models.</li><li>
Stay abreast of the latest advancements in generative AI and related technologies, incorporating best practices and innovative approaches into the architecture.</li><li>
Drive continuous improvement of the AI architecture, ensuring it evolves to meet changing business and technological demands.</li></ul>
Governance and Security:<ul><li>
Implement and enforce AI governance standards and security measures to protect sensitive data and ensure regulatory compliance.</li><li>
Monitor and mitigate risks associated with the deployment and operation of AI models.</li></ul>
Required Qualifications:<ul><li>
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field. Master&rsquo;s or PhD is a plus.</li></ul></li><li>
Experience:<ul><li>
4+ years of experience in designing and implementing AI architectures, with a focus on generative models (e.g., GPT, VAEs, GANs).</li><li>
10+ years of experience with cloud platforms (AWS preferred) and AI/ML frameworks (TensorFlow, PyTorch).</li><li>
Experience with Generative AI RAG pattern and LLM fine tuning.</li><li>
Experience with ML and Generative AI tools such as Amazon SageMaker and Amazon Bedrock.</li><li>
Knowledge of ethical principles in AI development and deployment, including fairness, accountability, and transparency, ability to identify and address biases in data and models and understanding of techniques for interpreting and explaining AI models.</li></ul></li><li>
Skills:<ul><li>
Proficiency in programming languages such as Python, R, Java, and C++ or related modern programming languages.</li><li>
Deep understanding of machine learning algorithms, natural language processing, and deep learning techniques.</li><li>
In-depth knowledge of CNNs, RNNs, LSTMs, Transformers, and their applications.</li><li>
Strong understanding of NLP techniques, including text preprocessing, tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition.</li><li>
Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.</li><li>
Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Experience with MLOps and CI/CD pipelines for AI model deployment.</li><li>
Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2</li><li>
Familiarity with ethical AI practices and AI governance frameworks.</li><li>
Experience in the healthcare industry or with healthcare data is desirable.</li><li>
In depth understanding of healthcare regulations (HIPAA, GDPR, etc.), data privacy, and patient safety standards.</li></ul><h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div></div>

Principal AI Architect

VentureDive

<div>Job Brief 
We are seeking a highly skilled Data &amp; AI Architect to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation. 
 
VentureDive Overview 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
Key Responsibilities:<ul><li>
Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments.</li><li>
Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources.</li><li>
Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring.</li><li>
Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling.</li><li>
Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps.</li><li>
Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications.</li><li>
Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage.</li><li>
Optimize pipelines and workflows for performance, scalability, and cost-efficiency.</li><li>
Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models.</li><li>
Produce high-quality architecture documentation, data flow diagrams, and solution blueprints.</li><li>
Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design.</li><li>
Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases.</li></ul> 

Required Experience &amp; Qualification:<ul><li>
10+ years of experience in data engineering, data architecture, or AI solution design.</li><li>
Strong hands-on experience with data platform technologies, such as:</li><li>
Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar.</li><li>
Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse).</li><li>
AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI).</li><li>
Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time).</li><li>
Deep understanding of data lakehouse and data mesh architectures.</li><li>
Experience implementing governance, lineage, and security frameworks for data and AI systems.</li><li>
Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences.</li><li>
Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems.</li></ul> 

Preferred Skills:<ul><li>
Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures).</li><li>
Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines).</li><li>
Familiarity with DataOps and CI/CD practices for data and AI workflows.</li><li>
Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker).</li><li>
Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI.</li><li>
Experience leading data and AI modernization initiatives or enterprise AI strategy projects.</li><li>
Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards).</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
 
#LI-Hybrid
lSXDsfMqSd</div>

Data & AI Architect

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