Computer Vision & AI Systems Architect Job at AMD (Hyderabad)

Principal Frontend Software Engineer - Design Systems & AI

We’re looking for a passionate Principal Engineer (P60) to join the Design Syste...

Location

Australia

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A strong interest in AI, especially in generative approaches for frontend code that adheres to design systems and frontend standards
Systems thinking and experience architecting and maintaining large-scale systems (100+ packages, content, standards, etc.)
Proven Tech Lead experience: You’ve led complex technical initiatives and mentored other engineers
Experience with Javascript (ES6), HTML5, CSS and experience with modern Javascript frameworks (e.g., React, AngularJS, Vue)
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
Extensive experience with modern testing frameworks (e.g., Jest, Cypress, Mocha, Chai)
Strong comfortability with the JavaScript language and ecosystem
Experience in design system best practices

Job Responsibility

Lead the technical vision and architecture for AI-driven design system solutions, ensuring scalability, reliability, and compliance with Atlassian’s frontend standards
Drive the development of generative AI tools that produce frontend code aligned with our design system and accessibility requirements
Tackle the challenges of maintaining and evolving a system of 100+ packages, including content, standards, and tooling
Mentor and guide engineers across the team, fostering a culture of technical excellence and innovation
Collaborate with cross-functional partners to deliver impactful solutions that elevate the user experience for millions of Atlassian customers

What we offer

health coverage
paid volunteer days
wellness resources

AI Architect

The AI Architect is responsible for designing, developing, and integrating innov...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Master's degree or engineering diploma in Computer Science, Applied Mathematics, Artificial Intelligence, or related field
Minimum 7 years of experience in designing and deploying AI solutions in enterprise environments
Mastery of AI architectures (supervised, unsupervised models, neural networks, NLP, Computer Vision, etc.)
Expertise in leading AI tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, etc.
Expertise in major LLM vendors: OpenAI, Google Gemini, Anthropic, Meta, Mistral AI, AWS Bedrock, DeepSeek, Cohere
Expertise in developing Collaborative/Swarm of AI Agents/Agentic AI system
Experience with cloud AI platforms: Azure ML, AWS SageMaker, Google AI Platform
Strong knowledge of MLOps practices, CI/CD, and model lifecycle management
Proficiency in Python, R, SQL, and collaborative development environments (Git, Docker, Kubernetes)
Deep understanding of security, compliance (NIS2, GDPR), and AI ethics

Job Responsibility

Design and document technical architectures for AI solutions (Machine Learning, Deep Learning, NLP, Computer Vision, LLM, AI Agents, etc.) considering security, scalability, costs and performance constraints
Define and drive the AI technology roadmap in collaboration with business, IT, and innovation teams
Select appropriate technologies, frameworks, and tools (TensorFlow, PyTorch, Azure ML, AWS SageMaker, Hugging Face, LangChain/Graph, N8n)
Ensure the coherence, robustness, and maintainability of deployed solutions
Participate in solutions development
Mentor and support teams of Data Scientists, Data Engineers, and AI developers
Conduct technology watch and evaluate new AI market trends
Lead the integration of AI solutions in cloud, hybrid, or on-premise environments
Implement best practices for data governance, MLOps, and model management
Ensure compliance with security standards, regulations (GDPR, NIS2), and AI ethics

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

AI Architect

Are you passionate about building intelligent, scalable AI systems that make a r...

Location

United States , Birmingham

Salary:

127100.00 - 198100.00 USD / Year

Daxko

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred)
8+ years in software engineering, architecture, or data science
3+ years designing and implementing enterprise-scale AI or ML systems
Proven experience architecting AI solutions using cloud-native tools (AWS SageMaker, Azure AI, OpenAI API, LangChain, etc.)
Deep understanding of LLMs, embeddings, model orchestration, reinforcement learning, and multimodal AI
Strong grasp of AI governance frameworks (NIST AI RMF, GDPR, SOC 2, PCI 4.0)
Experience building MLOps pipelines and scalable model deployment systems
Excellent communicator and collaborator who can bridge technical and non-technical teams
Strategic thinker who balances innovation with practicality
Lifelong learner passionate about exploring new tools and methodologies

Job Responsibility

Set the Vision: Define and maintain the company-wide AI architecture blueprint and roadmap to power automation, personalization, analytics, and intelligent decision-making
Establish Best Practices: Create and maintain AI development standards, model lifecycle processes, and governance frameworks to ensure scalability, fairness, and compliance
Drive Strategy: Partner with leadership to evaluate emerging AI technologies, frameworks, and vendors — shaping how we leverage everything from LLMs and vector databases to orchestration tools
Enable Reusability: Architect modular, reusable AI components and services that streamline development across multiple product lines
Collaborate & Build: Work with cross-functional teams to design secure, cloud-native AI services, APIs, and data pipelines
Champion Governance: Define AI model observability, auditability, and ethical use standards in partnership with InfoSec and Legal teams
Innovate & Educate: Lead internal workshops, mentor teams, and serve as an evangelist for AI adoption across the company
Represent & Inspire: Engage with external AI communities, vendors, and conferences to showcase our innovation and learn from the broader ecosystem

What we offer

Flexible paid time off
Affordable health, dental, and vision insurance options
Monthly fitness reimbursement
401(k) matching
New-Parent Paid Leave
Casual work environments
Remote work

Fulltime

Distinguished Machine Learning Engineer, Computer Vision

GEICO is on a multi-year journey to transform the insurance industry with Artifi...

Location

United States , Palo Alto

Salary:

210000.00 - 350000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or AI/ML
Advanced degree in computer vision is a plus
15+ years of hands-on experience in AI/ML in a production environment
10+ years hands-on expertise in AI/ML for computer vision
Successful leadership experience in leading the technical decisions for teams of size >= 15
Strong communication and collaboration skills across technical and non-technical teams
5+ years experiences in building cross-functional partnerships with product and business

Job Responsibility

Lead the strategy, design, and delivery of computer vision systems for the whole company, enabling computer vision capabilities for Geico’s businesses
Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals
Architect scalable and reliable model ecosystems for all types of computer vision use cases
Establish and drive best practices in ML modeling, data organization, model management, and observability
Help the leadership team mentor and grow a high-performing team of engineers focused on ML modeling for computer vision
Ensure compliance with data privacy and security standards
Continuously improving system performance, scalability, and user experience
Provide state-of-the-art consultation to the Head of AI and Chief AI Officer with regard to computer vision technologies

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Principal Applied Scientist, Computer Vision

We are looking for a Principal Applied Scientist to serve as the technical archi...

Location

Canada

Salary:

196000.00 - 270000.00 CAD / Year

Lime

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Computer Vision and Machine Learning, with a strong track record of deploying production-grade systems in real-world environments
Edge AI Expertise: Extensive experience optimizing and deploying CV/ML models on embedded or edge hardware platforms where power, performance, and efficiency constraints are critical
Sensor Fusion Experience: Deep understanding of integrating with additional sensor modalities to solve complex perception or state-estimation problems
Strategic Technical Leadership: Demonstrated experience leading technical strategy and influencing architecture across teams
people management experience is a plus
Real-World Problem Solving: Proven ability to build robust systems that perform reliably under noisy, variable, and imperfect real-world conditions
Academic Foundation: Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning

Job Responsibility

Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions
Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments
Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding
Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions
End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production
Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML
mentor scientists and engineers and promote a culture of rigorous, production-oriented development
Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions
Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications

What we offer

Offers Equity
Offers Bonus

Fulltime

Principal Applied Scientist, Computer Vision

Lime is looking for a Principal Applied Scientist to serve as the technical arch...

Location

United States

Salary:

220000.00 - 303000.00 USD / Year

Lime

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Computer Vision and Machine Learning, with a strong track record of deploying production-grade systems in real-world environments
Edge AI Expertise: Extensive experience optimizing and deploying CV/ML models on embedded or edge hardware platforms where power, performance, and efficiency constraints are critical
Sensor Fusion Experience: Deep understanding of integrating with additional sensor modalities to solve complex perception or state-estimation problems
Strategic Technical Leadership: Demonstrated experience leading technical strategy and influencing architecture across teams
people management experience is a plus
Real-World Problem Solving: Proven ability to build robust systems that perform reliably under noisy, variable, and imperfect real-world conditions
Academic Foundation: Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning

Job Responsibility

Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions
Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments
Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding
Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions
End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production
Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML
mentor scientists and engineers and promote a culture of rigorous, production-oriented development
Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions
Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications

What we offer

Comprehensive Health & Wellness: A choice of medical, dental, and vision plans, with Lime covering 100% of the employee-only premium for many plans
company-paid life and disability insurance
company-funded mental health benefits
Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options
access to a Health Savings Account (HSA) with a monthly company contribution
Family & Fertility Support: Paid parental leave for birthing and non-birthing parents
fertility and family-forming benefits
Time Off & Flexibility: Flexible vacation policy for exempt employees
paid sick time
a calendar of paid company holidays

Fulltime

Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , McLean; San Francisco; San Jose; Cambridge; New York

Salary:

269100.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
At least 8 years of experience programming with Python, Go, Scala, or Java
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , McLean; Richmond; San Jose; Cambridge; New York; San Francisco

Salary:

244700.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
At least 8 years of experience programming with Python, Go, Scala, or Java
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Computer Vision & AI Systems Architect

AMD

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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