Senior Manager - Architect - Artificial Intelligence & Data

Key Responsibilities:

- Architectural Design: Develop and oversee data architectures and application frameworks that support AI initiatives. Ensure integration of data and applications with existing systems to create cohesive and efficient solutions.

- AI Solutions: Design and implement AI-driven models and solutions, leveraging machine learning, natural language processing, and other AI technologies to solve complex business problems.

- Cloud Integration: Architect cloud-based solutions that support scalability, security, and performance for AI applications. Collaborate with cloud providers and internal teams to ensure optimal cloud infrastructure.

- User Interface Design: Work with UI/UX teams to ensure that AI solutions have user-friendly interfaces and deliver an exceptional user experience.

- Leadership & Collaboration: Lead a team of architects and engineers, providing guidance and support in the development of AI solutions. Collaborate with stakeholders across departments to align technical strategies with business goals.

- Strategic Planning: Develop and implement architectural strategies and roadmaps that align with the companys vision and technology advancements.

- Go-To-Market Strategy (GTM): Collaborate with onsite teams and senior architects in the team to define and execute go-to-market strategies for AI solutions. Provide architectural insights that align with clients needs and support successful solution development.

- Innovation & Best Practices: Stay abreast of industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation.

Qualifications:

- Education: Bachelors or Masters degree in computer Science, engineering, Data Science, mathematics or a related field.

- Experience: Minimum of 14+ years of experience in a senior architectural role with a focus on AI, data management, application development, and cloud technologies.

Technical Skills:

- Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.

- Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI

- Experience in writing SQL and data modelling.

- Experience in designing and implementation of AI solution using microservice based architecture.

- Understanding of machine learning, deep learning, NLP and GenAI.

- Strong programming skills in Python and/or pyspark.

- Proven experience in integrating authentication security measures within machine learning operations and applications.

- Excellent problem-solving skills and ability to connect AI capabilities to business value.

- Strong communication and presentation skills.

- Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.

- Familiarity with MLOps concepts and tech stack. Good to know code versioning, MLFlow, batch prediction and real-time end point workflows.

- Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.