Enterprise Architect

at Webtiga Private limited

Enterprise Architect

Webtiga Private limited

Company

Home

Enterprise Architect

at Webtiga Private limited

Posted by HR Webtiga

7 - 13 yrs

Best in industry

Bengaluru (Bangalore)

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Microservices

Architecture

Cloud Computing

Data Analytics

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

Lead the development and deployment of AI and machine learning models.
Implement best practices for model training, testing, and validation.
Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

Define and implement microservices architecture patterns and best practices.
Ensure that microservices are designed for scalability, flexibility, and resilience.
Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

Bachelor's or Masters degree in computer science, Data Science, or a related field.
Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
Excellent communication and interpersonal skills.
Ability to lead cross-functional teams and drive innovation.
Strong problem-solving and critical-thinking abilities.
Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Job Summary:

Responsibilities:

AI Strategy Development:

Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

Lead the development and deployment of AI and machine learning models.
Implement best practices for model training, testing, and validation.
Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

Define and implement microservices architecture patterns and best practices.
Ensure that microservices are designed for scalability, flexibility, and resilience.
Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

Bachelor's or Masters degree in computer science, Data Science, or a related field.
Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
Excellent communication and interpersonal skills.
Ability to lead cross-functional teams and drive innovation.
Strong problem-solving and critical-thinking abilities.
Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
Previous experience with enterprise architecture frameworks (e.g., TOGAF).

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About Webtiga Private limited

Founded :

2022

Type :

Products & Services

Size :

0-20

Stage :

Raised funding

About

Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken

For more details - please check out our website-https://www.webtiga.com/solutions/

Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken

For more details - please check out our website-https://www.webtiga.com/solutions/

Tech stack

Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken

Python

NodeJS (Node.js)

Java

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