Gen ai architect

Gen AI Solution ArchitectPosition SummaryThe Principal Generative AI Solution Architect will serve as the principal hands-on technical authority responsible for the end-to-end design, implementation, and governance of all enterprise-grade Generative AI (Gen AI) solutions. This role requires a blend of deep technical expertise in large language models (LLMs), enterprise system architecture, and strategic acumen to translate complex business objectives, especially within the Financial Services domain, into secure, scalable, and ethically compliant Gen AI applications that drive measurable organizational value.This role is expected to actively build Gen AI applications, develop Proofs-of-Concept (POCs), and deliver production-grade Gen AI solutions to solve critical business problems.Key Responsibilities and DutiesArchitectural Strategy and Hands-On Design- Define Gen AI Architecture: Establish the architectural blueprint, reference architectures, and technology standards for deploying Gen AI solutions, including Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI autonomous agents, and model fine-tuning pipelines.- Hands-On Development and POCs (MUST): Design, build, and deploy high-impact Gen AI solutions, including developing hands-on prototypes and POCs to validate technical designs and business value. Hands-on on RAG), AI Agents, Agentic AI, frameworks and SDKs- Technology Selection and Evaluation: Conduct rigorous evaluation, benchmarking, and selection of foundational models (MUST have worked on all leading LLM models), vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks (e.g., Lang Chain, Llama Index, Agentic AI frameworks).- Cloud Deployment: Architect, implement, and deploy Gen AI solutions on at least one of the major cloud providers (AWS, Azure, or GCP).- Integration Planning: Design robust integration patterns (APIs, microservices, event-driven architectures) to seamlessly connect Gen AI 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- Financial Services Compliance: Ensure all Gen AI architectures comply with rigorous regulations, audit standards, and data privacy mandates specific to the Financial Services industry (e.g., GDPR, HIPAA, or industry-specific compliance standards).- Responsible AI and Governance: Operationalize and enforce enterprise-wide Responsible AI policies, including mechanisms for bias mitigation, toxicity filtering, data provenance, and explainability (XAI).- 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- Technical Advisory and Use Case Definition: Serve as the Generative AI Subject Matter Expert (SME) in engagements with C-level executives and business unit leaders to define high-impact use cases and communicate technical risks and trade-offs.- Mentorship and Enablement: Provide technical leadership, guidance, and mentorship to Data Science, ML Engineering, and Software Development teams on best practices for Gen AI architecture, prompt engineering, and secure coding.- Innovation Roadmap: Develop and maintain a forward-looking Generative AI technology roadmap, constantly evaluating emerging trends (e.g., multi-modal models, agentic frameworks) and proposing pilots and strategic investments.Required Qualifications and ExperienceTechnical Expertise- Experience: Minimum of 10 years of experience in Solution Architecture, Data Architecture, or ML Engineering, with a minimum of 5 years dedicated to architecting and building production-grade Generative AI or Large Language Model solutions.- Generative AI: Deep, hands-on expertise with LLMs, Transformer architectures, Fine-Tuning/