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Enterprise Architect
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Enterprise Architect

HR Webtiga's profile picture
Posted by HR Webtiga
7 - 13 yrs
Best in industry
Bengaluru (Bangalore)
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Microservices
Architecture
Cloud Computing
skill iconData 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.

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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/


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Tech stack

Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken
skill iconPython
skill iconNodeJS (Node.js)
skill iconJava

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Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.

To build on our success, we are looking for smart, conscientious software developers who want to work in a friendly, engaging environment and take our platform and products forward. In return, you will have the opportunity to work with the latest technologies, frameworks & methodologies in service development in an environment where we value collaboration and learning opportunities.

Read more
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Jenny John
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Spring
Microservices
Role: The role of lead is not a textbook checklist, however, there are technical responsibilities that a team must fulfill and we expect the tech lead to ensure these responsibilities are covered and be able to cover them themselves if needed. We expect tech leads to taking a collaborative approach to leading their team. This is especially important when considering the amount of experience that each of our consultants brings. Given this, we expect you to: ● Respect the other members of your team and recognise you don’t always know best. ● Spot gaps in team capability and figure out how to fix them as a team. ● Be hands on, able and willing to contribute to development, however, don’t expect to be coding all of the time. ● Encourage the team to be proactive, give them responsibility. Responsibilities ● Have a clear understanding of the deployment architecture ● Have a clear understanding of the build pipeline ● Understand how you get changes into production ● Understand how all parts of the system work together ● Facilitate technical communication with other teams, both within your engagement and across other EE clients. ● Actively seek to remove knowledge silos within the team ● Ensure you have a release / branching strategy in place ● Act as the primary point of contact for your team when communicating with other teams ● Ensure there is a technical vision for the team ● Liaise with environment specialists to ensure smooth deployments to production ● Encourage the team to follow good development practices aligned to EE technical values ● Feedback to the delivery lead or engagement manager on the quality of your team (good and bad) ● Recognise team members that have the potential to grow into team leads ● Ensure the use of new technologies or dependencies does not block the team. ● Ensure the team keeps necessary architectural documents up to date ● Keep an eye on the long term consequences of architectural choices, and remind others when necessary ● Build good relationships with your team members. Act as a mentor when required ● Keep the client informed and engaged in the technical side of the project ● Build relationships across your client community Technologies / Experience The successful candidate must have the following experience: ● Worked as the tech lead of a development/delivery team in a large organisation ● Have worked with a variety of different technical architect roles ● Be deeply proficient in at least one programming language ● Be comfortable using other languages and evidence using multiple languages ● Have hands-on experience with some form of configuration management tooling, e.g. Ansible, Chef, Puppet ● Have hands-on experience of at least one continuous integration and continuous delivery technology, e.g. Jenkins, Go, Team City or Bamboo. ● Full stack development experience from user interface through to data persistence ● A strong proponent of XP practices such as TDD ● Working with a delivery team to formulate an automated test strategy ● Worked as part of a number of agile delivery teams and seen a number of different approaches to delivery ● Good appreciation of secure coding practices and end to end system security The following exposure will also be looked on favorably: ● Performing an ‘architect’ role, while retaining hands-on involvement ● Working with cloud hosting platforms such as AWS, Rackspace, Azure etc. ● Infrastructure management technologies such as Cloud Formation or Terraform
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
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