As an AI Architect, your role will be to develop the AI architecture strategy, supporting our clients to design, implement and operate scalable architectures that support the effective deployment of AI models.You will play a critical role in designing and delivering innovative architectures that seamlessly integrate AI solutions with existing enterprise systems.,

Translate the vision of senior client stakeholders and senior Deloitte architects into the AI/ML/GenAI architectural strategy and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.

Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.

Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.

Support the successful execution and operational improvement of AI-powered applications using agile methodology.

Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.

Assist project teams with technical review boards and design authority approvals, ensuring compliance with data privacy, security and regulatory requirements in AI solution design and implementation.

Develop and maintain contact with client stakeholders and contribute to proposal development.

Manage diverse teams within an inclusive team culture where people are recognised for their contribution.

Develop the capability of junior team members through 'on the job' training and formal development programmes.

You are an exceptional communicator, able to articulate complex technical concepts to both technical and non-technical stakeholders with ease. You have a strong ability to collaborate and work effectively in a team environment, leveraging the strengths of others to achieve common goals. You are outcome focussed and have a desire to be pragmatic in your approach to designing and delivering high-quality solutions that meet or exceed client expectations., We are looking for candidates who are able to demonstrate skills and experience in some of the following.

Experience in architecture related disciplines.

Background in data science with good understanding of concepts relevant to AI/ML.

Experience in implementing cloud-based AI/ML workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.

Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless technologies, container / Kubernetes based deployments, GPU compute infrastructure.

Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models.

Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools.

Experience in writing robust and efficient code in Python.

Experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.

Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments.

Knowledge in developing and integrating APIs especially related to serve ML models.

Knowledge on building solutions that are integrated with the enterprise to deliver end-to-end solutions.

Experience in working within an architecture function and presenting architectural designs to a variety of stakeholders (incl. Technical Design Authorities or Architecture Boards).

Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.

Ability to bring teams together and leading technical programmes to drive success through applying coaching, facilitation, stakeholder management and expectation management capabilities.

Strong communication and collaboration abilities, with the capability to work effectively with cross-functional teams and stakeholders.

Ability to contribute to 'go-to-market' activities such as responding to RFI / RFPs and developing high-quality proposal materials.

Advanced degrees in Computer Science or Data Science or equivalent.

Professional certifications in AI/ML technologies and Cloud platforms.

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