Description : Urgent hiring for Manager - AI Solution Architect for Bangalore Location.

Experience : 8-15 Yrs

Job Location : Bangalore

Early Joiners

Job Description :

Key responsibilities include :

1. Solution Architecture and Design :

- Design and architect end-to-end AI solutions, including data pipelines, model development, deployment strategies, and integration with existing systems.

- Define the technical components, services, and libraries required for AI projects, ensuring scalability, security, and performance.

- Lead the selection of appropriate AI frameworks, tools, and platforms (e.g., TensorFlow, PyTorch, Databricks, Azure AI) to meet project requirements.

2. System Integration & Deployment :

- Lead the integration of AI models into enterprise systems, ensuring seamless data flow and operational reliability.

- Design CI/CD pipelines and containerized deployments using Docker, Kubernetes, and Azure DevOps.

- Ensure compliance with security, privacy, and performance standards throughout the solution lifecycle.

3. Technical Leadership :

- Partner with data scientists, ML engineers, and software developers to translate business requirements into technical solutions.

- Provide architectural guidance and mentorship to development teams, promoting best practices in software engineering and AI deployment.

- Conduct design and code reviews to ensure quality, maintainability, and adherence to architectural principles.

4. Component and Service Design :

- Architect and design reusable components, microservices, and APIs that can be leveraged across multiple AI projects

- Develop and maintain libraries of reusable code, tools, and templates that accelerate AI development and ensure consistency across projects.

- Ensure that all components are designed for integration with existing systems, supporting seamless data flow and interoperability.

5. Research and Innovation :

- Stay up-to-date with the latest advancements in AI, machine learning, deep learning, and cloud computing, bringing new ideas and technologies to the team.

- Experiment with emerging AI technologies, such as Generative AI, Reinforcement Learning, and Neural Architecture Search, to identify their potential applications within.

- Lead the technical exploration of new AI use cases, developing prototypes and proof-of-concept solutions to validate their feasibility.

6. Collaboration and Communication :

- Work closely with stakeholders across member firms to understand business needs and translate them into solutions.

- Collaborate with external partners, including technology providers and academic institutions, to drive innovation and knowledge sharing.

7. Security and Compliance :

- Architect AI solutions with a strong focus on security, ensuring that data privacy and protection are built into the design.

- Implement compliance with industry standards and regulations (e.g., GDPR, ISO 27001), ensuring that AI solutions adhere to legal and ethical guidelines.

Educational qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

- Advanced certifications in AI/ML, Cloud Computing, or Enterprise Architecture are highly desirable.

Work experience :

- 9+ years of experience in software development, with at least 5 years focused on AI, machine learning, or related technologies.

- Proven experience in architecting and implementing AI solutions, including hands-on development with frameworks like TensorFlow, PyTorch, Keras.

- Extensive experience with cloud platforms, particularly Microsoft Azure, and expertise in deploying AI solutions in cloud environments.

- Strong background in DevOps practices, including CI/CD pipelines, Docker, and Kubernetes.

Skills :

- Deep understanding of AI/ML algorithms, model development, and deployment strategies.

- Proficiency in programming languages such as Python, Java, or C++, with a focus on AI/ML libraries and frameworks.

- Strong problem-solving skills, with the ability to design and implement complex technical solutions.

- Excellent communication skills, with the ability to lead technical discussions and collaborate with cross-functional teams.

- Understanding of enterprise architecture frameworks (TOGAF) and ITIL practices.