AI Architect

Job Description:

• AI Solution Delivery & Architecture

• Lead endtoend design and delivery of AI solutions across Machine Learning Generative AI and

• Agentic AI

• Define AI solution architectures leveraging microservices and eventdriven architectures

• Design evaluate and optimize ML models to meet business and performance objectives

• Drive prompt engineering strategies for scalable and reliable GenAI implementations

• Implement and operationalize MLOps pipelines for model deployment monitoring and lifecycle

• management

• Leverage multiple cloud platform for AI solution development and deployment

• Generative AI & Advanced AI Capabilities

• Build GenAI solutions using LangChain LlamaIndex and OpenAI APIs

• Design and integrate vector databases such as FAISS Pinecone and Weaviate

• Develop agentic AI workflows to enable autonomous and semiautonomous systems

• Evaluate model performance cost latency and scalability tradeoffs

• AI Strategy Governance & Responsible AI

• Support clients in defining AI strategy roadmaps and value realization

• Embed AI governance and Responsible AI practices into solution design and delivery

• Ensure compliance with risk ethics and regulatory considerations across AI use cases

• Drive change management and adoption of AI solutions within client organizations

• Client & Stakeholder Management

• Serve as a trusted AI advisor to client stakeholders

• Translate business problems into AIdriven solution approaches

• Communicate complex technical concepts to nontechnical audiences effectively

• Support leadership in solutioning proposals and RFP responses

• Team Leadership & Collaboration

• Provide technical leadership to crossfunctional delivery teams

• Mentor and coach junior team members on AI ML and GenAI concepts

• Collaborate across engineering data product and business teams

• Promote a culture of innovation learning and continuous improvement