Solutions Architect

Key Responsibilities and Duties

Architectural Strategy and Design

• Define GenAI Architecture : Establish the architectural blueprint, reference architectures, an technology standards for deploying GenAI solutions, including Retrieval-Augmented Generation (RAG), autonomous agents, and model fine-tuning pipelines.
• Technology Selection and Evaluation : Conduct rigorous evaluation, benchmarking, and selection of foundational models (both commercial and open-source, e.g., GPT, Claude, Llama), vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Integration Planning : Design robust integration patterns (APIs, microservices, event-driven architectures) to seamlessly connect GenAI capabilities with core enterprise platforms (CRM, ERP, HRIS) and existing data infrastructure.
• Performance and Cost Optimization : Architect solutions with a focus on high-throughput, low-latency inference, and optimization of computational resources (GPU / TPU utilization) to ensure cost-efficiency at enterprise scale. Governance, Security, and Compliance
• Responsible AI and Governance : Operationalize and enforce enterprise-wide Responsible AI policies, including mechanisms for bias mitigation, toxicity filtering, data provenance, and explainability (XAI) within all GenAI deployments.
• Data Security and Privacy : Design data workflows and security measures to ensure sensitive enterprise and customer data is protected throughout the GenAI lifecycle, adhering to regulations such as GDPR, HIPAA, and industry-specific compliance standards.
• LLMOps Implementation : Define and standardize LLMOps practices, including automated model deployment, continuous monitoring for model drift and hallucination, version control, and CI / CD pipelines for AI assets.

Stakeholder Engagement and Leadership

Required Qualifications and Experience :

Technical Expertise

Professional & Education :