Senior Technical Architect
- Ninestars Information
- 7 - 12 years
- Bengaluru
- 13 days ago
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Job Description
Job Title: Senior Architect AI Platform & Engineering
Location: Bangalore
Mode: Work from Office
Job Summary:
We are seeking an experienced Senior Architect AI Platform & Engineering to lead the architectural design
and technical strategy of our AI-driven platform. The ideal candidate will have a deep understanding of AI/ML
frameworks, AI model deployment, cloud platforms, distributed computing, and solution architecture. This
role demands a strong background in solution architecture and hands-on expertise in AI/ML technologies,
ensuring the scalability, security, and efficiency of our AI products and platform.
Key Responsibilities:
1. AI Platform and Product Architecture:
Define and design the end-to-end architecture of an AI-driven platform, ensuring scalability,
reliability, and security.
Architect and design AI/ML pipelines, inference engines, and model serving infrastructure.
Develop microservices-based architecture to support AI workloads and data-driven applications.
Ensure seamless integration of AI models into the platform and applications.
Define and implement MLOps best practices to streamline AI/ML lifecycle management.
2. AI/ML Frameworks & Model Deployment:
Work with TensorFlow, PyTorch, Hugging Face, ONNX, and other AI frameworks to optimize model
training and deployment.
Architect model-serving solutions using KServe, TensorFlow Serving or equivalent.
Optimize AI model performance for low-latency, high-throughput inference.
Implement AI governance and compliance frameworks for responsible AI practices.
3. Cloud & Infrastructure:
Design AI platform solutions for AWS, OCI, GCP, and hybrid/multi-cloud environments.
Leverage Kubernetes, Docker, and serverless computing to manage AI workloads efficiently.
Implement data lake, feature store, and real-time analytics architectures.
Design and optimize GPU/TPU-based infrastructure for AI workloads.
4. Solution Architecture & Engineering Leadership:
Provide technical leadership in designing AI solutions, working closely with product managers, data
scientists, and engineering teams.
Collaborate with product management, data scientists, and engineering teams to align AI
architecture with business objectives.
Develop high-level and detailed solution architecture for AI-driven applications and platforms.
Lead proof-of-concepts (PoCs) and pilot projects to validate AI-driven solutions.
Provide technical mentorship and guidance to engineering teams.
Conduct architectural reviews and ensure adherence to best practices and industry standards.
5. AI Security & Compliance:
Design AI architectures with a strong focus on data security, privacy, and compliance (GDPR,
HIPAA, SOC2 etc.).
Implement secure model training, explainability (XAI), and adversarial attack mitigation
techniques.
Ensure secure API integrations for AI models and services.
Required Qualifications & Skills:
Key Technical Skills:
AI/ML Architecture: Proven expertise in designing scalable AI/ML architectures, including deep
learning, reinforcement learning, NLP, and computer vision.
Cloud & Infrastructure: Hands-on experience with cloud-native architectures on AWS, Google
Cloud, and Azure.
Containerization & Orchestration: Proficiency in Docker, Kubernetes, and container orchestration
for scalable AI/ML deployments.
Data Engineering & MLOps: Strong understanding of data pipelines, big data management (Kafka,
Spark, Hadoop), and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
Microservices & APIs: Skilled in designing high-performance, scalable, and maintainable
microservices architectures.
Security & Compliance: In-depth knowledge of AI security best practices, model governance,
encryption, and access control in cloud and on-prem environments.
DevOps & CI/CD: Experience with CI/CD pipelines, infrastructure as code (Terraform,
CloudFormation), and automated AI/ML deployment workflows.
LLMs & Generative AI: Exposure to Large Language Models (LLMs) and Generative AI applications.
Enterprise AI & Product Management: Experience in developing and managing AI-driven enterprise
solutions and AI product lifecycle management.
Experience & Qualifications:
Experience: Minimum 7 years of experience in software engineering, AI/ML architecture, and
platform engineering, with at least 5 years in as an architect.
Educational Qualification: Masters degree in Computer Science, Engineering, AI, or a related
technical field.
Architecture & Design: Proven experience in designing and architecting scalable, distributed, and
secure platforms for AI/ML applications at scale.
AI/ML Expertise: Strong background in developing and deploying machine learning models in
production, and experience with AI frameworks such as TensorFlow, PyTorch, and Keras.
Cloud Expertise: Hands-on experience with cloud-native architecture, containerization, and
serverless computing in cloud environments.
Leadership: Proven experience in leading technical teams, mentoring engineers, and driving
architectural decisions across large-scale projects.
Certifications in cloud platforms (AWS, Azure, GCP) or AI-related technologies.
Soft Skills & Leadership:
Strong problem-solving and analytical skills.
Ability to communicate technical concepts effectively to both technical and non-technical
stakeholders.
Experience leading and mentoring engineering teams.
Ability to collaborate with cross-functional teams, including product, engineering, and data science
teams.
Strong documentation and presentation skills.
Why Join Us?
Work on cutting-edge AI/ML technologies in a fast-paced and innovative environment.
Collaborate with industry experts, data scientists, and AI researchers.
Competitive compensation and career growth opportunities.
A culture of continuous learning, innovation, and excellence.
If you are passionate about AI and want to drive the next-generation AI platforms, we would love to hear
from you!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: Ninestars InformationLocation(s): Bengaluru
Keyskills: Artificial Intelligence Machine Learning Technical Architecture Deep Learning Python Tensorflow Ai Algorithms Ai Techniques Ai Solutions Natural Language Processing Computer Vision
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