Senior GenAI Architect
Hybrid - US
Senior GenAI Architect
Full Time • Hybrid - US
WW2W2 Only (No C2C)
Job Description:
About 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).
The Role
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.
Requirements:
Experience 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, GCP) 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.
Job Description:
About 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).
The Role
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.
Requirements:
Experience 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, GCP) 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.
Flexible work from home options available.
Compensation: $60.00 - $65.00 per hour
Centillion Infotech is one of the leading providers of innovative staffing solutions custom-fitted to your developing requirements and engaged with respect to consulting, technology services, solution firm, and engaging right resources to our clients.
Technology is clearly developing and advancing at a fast speed. It’s becoming an inexorably significant piece of every individual’s life. To assist all the individuals into the best workplace we provide the right placement according to your requirements. We extend to an exceptional choice of employment opportunities across various levels and areas. we can get you the ideal placement according to your skills.
We are one of the leading IT Staffing Company and help every individual who are seeking for an opportunity with all the solutions provides by our company.
we understand your organization's processes, culture, challenges, and using that information to architect the innovative solution that is the best fit for your organization. We will likely work with both our Client Companies and individuals seeking for a chance to allow them to climb in Informational Technology.
We have some expertise in zones like Sales and Recruiting, US IT Recruiting and so forth. Established in 2017 and headquarters in Irving, TEXAS and our offshore in Vishakhapatnam, AP(Ind). Our services provide clients with a cost-effective solution to increment and grow their staff and assist organizations in achieving their extraordinary or seasonal tasks.