Hiring Experienced IT professionals with independent ...

Technical Execution: Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude). Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI). Architect scalable and secure AI pipelines for data processing, training, and deployment. 2+ years of hands-on experience with generative AI technologies and large language models Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services experience building Gen AI solutions with AWS Bedrock Strong programming skills in Python, with experience in AI/ML frameworks Knowledge of prompt engineering, fine-tuning, and model optimization techniques Innovation & R&D: Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps. Drive experimentation with new models, prompt engineering, and domain-specific adaptations. Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement. Governance & Ethics: Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws. Establish monitoring systems to track model performance, drift, and user feedback in production. Required Qualifications: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects. Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP). Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques. Proven track record of delivering GenAI applications in enterprise or production environments About the Role: We are urgently looking for a Senior Solutions Architect with strong expertise in Azure AI and Generative AI to lead the design and delivery of enterprise-grade AI solutions within a healthcare environment. The ideal candidate will have hands-on experience with LLMs , prompt engineering , agentic AI frameworks , and Azure AI services , while also providing strategic architectural guidance and driving end-to-end AI solutioning across the organization. Key Responsibilities: Lead the design and implementation of AI/GenAI solutions using Azure AI services , LLMs , and modern MLOps practices Translate healthcare business needs into scalable AI architectures Build AI pipelines: data ingestion , model orchestration , prompt engineering , and deployment Collaborate with data scientists, ML engineers, and business stakeholders to drive outcomes Ensure solutions comply with HIPAA, GDPR , and internal governance standards Guide the evaluation of emerging AI tools and frameworks for enterprise use Provide leadership and hands-on support across solutioning, prototyping, and deployment Must-Have Skills: 7+ years in solution architecture, with 2+ years in AI/ML and GenAI Strong experience with Azure AI stack (OpenAI, Azure ML, Cognitive Services) Hands-on with LLMs , LangChain , AutoGen , or similar frameworks Advanced Python skills and experience with vector databases (Pinecone, Weaviate, etc.) Proven background in building MLOps/LLMOps pipelines Familiarity with healthcare data compliance (HIPAA, GDPR) Preferred: Azure Solutions Architect Certification AI/ML Certifications Prior experience in healthcare/health-tech environments

Created: 2025-10-01