Sr. Gen AI Architect, AI/ML -ONSITE-W2 role

Sr. Gen AI Architect 
Location         :           Charlotte, NC / Iselin, NJ- ONSITE 

Need local resumes only, Client in-Person interview will be there.
We are currently able to consider Only W2 candidates for this role.
 The Role:

• The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes.

• The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG).

 Requirements:

• Proven experience 10+ years, excel in leading AI/ML architecture and strategy in enterprise environments.

• Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs, RAG frameworks, and genetic AI techniques.

• Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar.

• Agentic AI experience: design, develop, and deliver tracing frameworks and LLM observability solutions.

• Deep understanding of data workflows, feature engineering, model training, evaluation, and deployment.

• Good understanding of traditional AI/ML concepts, alongside expertise in generative AI and related frameworks.

• Hands-on experience with AI/ML model observability, tracing frameworks, and monitoring solutions.

• Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and services tailored for AI deployment.

• Familiarity with model governance, security, explainability, and ethical AI standards.

• Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.

• Strong problem-solving, communication, and stakeholder management skills.

 Preferred, but not required:

• Advanced degree (Ph.D., Master s) in Computer Science, Data Science, AI, or related fields.

• Publications or practical contributions to AI research and open-source projects.

• Experience working in regulated industries or environments requiring compliance and governance.

• Familiarity with project management and Agile practices.

Responsibilities:

• Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases.

• Design comprehensive end-to-end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.

• Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar.

• Develop and deliver cutting-edge AI/ML solutions, incorporating genetic AI techniques, innovative design principles, and scalable deployment strategies.

• Gain a good understanding of traditional AI/ML approaches and leverage this knowledge to create robust, hybrid solutions.

• Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.

• Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.

• Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.

• Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.

• Partner with DevOps teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.

• Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, including tracing frameworks, LLM observability, and other innovative areas, recommending adoption of best practices and solutions.