As a Senior Artificial Intelligence (AI) Architect, you will serve as the technical authority for our clients' most complex AI initiatives. You will lead the design and implementation of sophisticated AI ecosystems, bridging the gap between high-level business strategy and technical execution.

Working closely with C-suite stakeholders, data science teams, and engineering units, you will oversee the end-to-end lifecycle of AI platforms. Your work will directly influence the scalability and efficiency of enterprise-grade solutions, ensuring that our clients maintain a competitive edge through advanced machine learning and agentic AI frameworks.

Key Responsibilities :

- Architect and deploy scalable AI platforms that integrate seamlessly into existing enterprise infrastructures to drive automated decision-making.

- Lead the development of Agentic AI and Generative AI solutions to solve complex business problems and enhance operational productivity.

- Design advanced Retrieval Augmented Generation (RAG) pipelines to improve the accuracy and context-awareness of large language models for internal and customer-facing applications.

- Oversee the migration and optimization of AI workloads across AWS, Azure, and GCP environments to ensure cost-efficiency and high availability.

- Mentor cross-functional engineering teams by establishing best practices in deep learning, statistical modeling, and model governance.

- Collaborate with executive leadership to translate long-term business objectives into actionable AI roadmaps and technical architectures.

Required Skillset :

- Demonstrated expertise in designing and deploying end-to-end AI and Machine Learning systems with 15 to 24 years of professional experience.

- Proven ability to architect complex solutions using Generative AI, Agentic AI, and RAG architectures to deliver measurable business outcomes.

- Deep technical proficiency in statistical modeling and deep learning frameworks, with the ability to lead research-driven initiatives.

- Extensive experience in multi-cloud environments, specifically AWS, Azure, and GCP, with a focus on cloud-native AI platform development.

- Exceptional communication skills, with the ability to articulate complex technical strategies to non-technical stakeholders and influence board-level decision-making.

- Strong leadership capabilities, including the ability to manage large-scale distributed teams and foster a culture of technical excellence.

- A Master's degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred.

- Ability to work effectively in a hybrid or on-site capacity across our key locations in Cochin, Kozhikode, or Thiruvananthapuram.