Responsibilities
- Create end-to-end AI ecosystem architectures that align with client objectives, covering agents, large language models, search systems, data platforms, and integration pipelines.
- Establish technical standards, security protocols, domain-specific blueprints, and architectural principles to ensure uniformity across teams and projects.
- Convert business requirements into detailed technical designs through collaborative workshops, discovery sessions, and technical evaluations.
- Evaluate and balance performance, cost, risk, and complexity when designing generative AI and artificial intelligence solutions.
- Lead the creation of high-performance, secure, and scalable AI and generative AI system architectures.
- Choose suitable technologies, frameworks, and models, including LLMs, retrieval-augmented generation, vector databases, multi-agent systems, MLOps, and automation tools.
- Develop and test proof-of-concept implementations and reference architectures to speed up AI deployment and adoption.
- Integrate AI models, intelligent agents, and data workflows with APIs, microservices, core business systems, and enterprise data sources.
- Define security standards, data protection measures, compliance protocols, monitoring capabilities, and model governance frameworks.
- Ensure solutions follow best practices for performance, fault tolerance, scalability, and data privacy.
- Design systems for monitoring, auditing, and ongoing optimization of AI architectures in production environments.
- Collaborate with IT and security teams to align AI designs with existing enterprise architecture and policies.
- Maintain architectural coherence across multiple AI use cases and business domains, especially in large-scale initiatives.
- Serve as the primary technical advisor for stakeholders, including data, engineering, product teams, and executive leadership.
- Guide data scientists, machine learning engineers, and software developers in adopting strong technical practices and innovation.
- Assist in pre-sales activities, RFP responses, solution design, and strategic technology planning for key clients.
