Senior Generative AI Architect (Salesforce / Healthcare Domain)

Role Overview: As a Senior Generative AI Architect in the Salesforce and Healthcare domain, you will play a crucial role in leading and executing innovative GenAI initiatives. Your responsibilities will include designing and engineering stateful multi-agent systems, optimizing LLM pipelines, and orchestrating production-grade frameworks to address real enterprise challenges in Healthcare and Salesforce ecosystems. This role requires a deep understanding of technical rigor, domain expertise, and practical deployment experience. Key Responsibilities: - Architect Next Gen AI Systems: - Design and implement robust, stateful agentic systems for dynamic task decomposition and real-time tool usage. - Engineer low latency, high throughput pipelines for critical enterprise use cases. - Engineer Advanced LLM Pipelines: - Develop hybrid retrieval pipelines integrating semantic, keyword, and knowledge graph methods. - Utilize vector databases and embedding strategies for intelligent retrieval at scale. - Model Customization & Optimization: - Lead model selection, fine-tuning, and specialization strategies. - Optimize models for inference using quantization, distillation, and frameworks like vLLM and DeepSpeed. - Implement evaluation processes and guardrails for model performance. - Full-Stack AI Engineering: - Manage end-to-end lifecycle processes including data ingestion, preprocessing, model deployment, and continuous improvement. - Establish scalable infrastructure following MLOps/LLMOps principles. - Deploy solutions on cloud platforms like AWS, Azure, or GCP leveraging Kubernetes, Docker, and serverless architectures. - Domain-Centric Architectures: - Healthcare: Architect HIPAA/FHIR compliant AI workflows for clinical notes, EMR/EHR, and imaging data. - Salesforce: Design AI/LLM systems utilizing Einstein Platform, Agentforce, Apex, SOQL, MuleSoft, and Data Cloud. - Technical Leadership: - Develop clean, production-grade Python code along with PyTorch/TensorFlow. - Create reusable tools, APIs, and SDKs. - Mentor team members and contribute to elevating technical standards. - Influence strategic decisions with your systems-level thinking. Qualifications Required: - 4-8+ years of experience in software engineering / AI/ML roles with hands-on ownership of GenAI product lifecycle. - Proficiency in Generative AI concepts with experience in building production-grade LLM or agentic systems. - Deep technical acumen in programming, frameworks, LLM orchestration, data processing, cloud technologies, and model operations. - Domain expertise in either Healthcare AI (HIPAA compliance, EMR/EHR systems) or Salesforce AI (Custom Apex/Lightning development). - Strong soft skills including critical thinking, problem-solving, and effective communication with technical and business stakeholders. (Note: No additional details of the company were provided in the job description),