| Generative AI Architect_Pittsburgh,PA at Pittsburgh, Pennsylvania, USA |
| Email: [email protected] |
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https://jobs.nvoids.com/job_details.jsp?id=2182221&uid= From: Sunita Rani, Scalable systems [email protected] Reply to: [email protected] Hi Shah Khan This is the requirement from TCS. Please share resume of your candidate for this below requirement Job Title- Generative AI Architect Location- Pittsburgh,PA TCS Contract positions: Generative AI Architect to design, develop, and optimize AI-driven solutions leveraging cutting-edge Large Language Models (LLMs), Machine Learning (ML), and Deep Learning technologies. This role requires expertise in architecting AI/ML models, integrating them into enterprise applications, and ensuring scalability, performance, and security. The ideal candidate will work closely with data scientists, engineers, and business stakeholders to drive innovation and create impactful AI-powered solutions. Key Responsibilities: 1. AI/ML Architecture & Solution Design Design and implement scalable AI architectures for Generative AI, NLP, and LLM-based applications. Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance AI contextual accuracy. Define best practices for model fine-tuning, inference optimization, and model deployment. Ensure AI solutions adhere to ethical AI, security, and compliance standards (e.g., GDPR, AI Act). 2. AI Model Development & Integration Work with LLMs like GPT, LLaMA, Falcon, Claude, or Mistral for text generation, summarization, and Q&A systems. Develop and deploy multi-modal AI models integrating text, image, and audio capabilities. Fine-tune open-source or proprietary AI models for specific business use cases. Build end-to-end AI pipelines, including data ingestion, training, evaluation, and deployment. 3. Cloud & Infrastructure Management Architect and deploy AI models using cloud platforms like AWS, Azure, or Google Cloud (GCP). Optimize AI workloads using GPU acceleration, distributed computing, and model compression techniques. Implement MLOps (CI/CD for AI), monitoring, and model lifecycle management. 4. Security & Ethical AI Conduct AI model security assessments to mitigate risks like prompt injection, bias, and adversarial attacks. Implement responsible AI principles to ensure fairness, transparency, and data privacy. Monitor AI system behavior and enforce guardrails for hallucination prevention. 5. Stakeholder Collaboration & Leadership Work closely with business leaders, data scientists, and software engineers to align AI strategies with enterprise goals. Lead PoCs (Proof of Concepts) and pilot projects to demonstrate AI-driven business value. Provide technical mentorship to teams on LLM deployment, optimization, and AI best practices. Sunita Rani Email ID [email protected] [www.scalable-systems.com]Scalable Systems | [www.scalable-systems.com]Inspiring Innovation Big Data | Analytics | Integration | Intelligence www.scalable-systems.com Keywords: continuous integration continuous deployment artificial intelligence machine learning Idaho Pennsylvania Generative AI Architect_Pittsburgh,PA [email protected] https://jobs.nvoids.com/job_details.jsp?id=2182221&uid= |
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| 01:31 AM 18-Feb-25 |