Senior AI Architect

Hartford, CT - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role Overview We are seeking a Senior AI Architect to lead the design development and governance of cutting edge AI solutions This role requires both hands on technical expertise and strategic leadershi driving innovation while ensuring compliance security and scalability across our AI ecosystem Key Responsibilities AI Leadership Strategy Lead our end to end AI development balancing hands on model design and implementation with guiding and mentoring the broader AI engineering and research teams Architecture Design and Deployment Design build and deploy production grade machine learning models including LLMs on the Google Cloud Platform Vertex AI using Python and related frameworks Collaboration Ecosystem Management Partner closely with internal AI teams Google and other technology vendors to sustain momentum drive innovation and align with evolving best practices Governance Security and AIRB Compliance Own and execute AI governance processes including AI Risk Board AIRB reviews data security compliance and ethical AI considerations across all AI initiatives Model Development Evaluation Design and implement models for Conversational AI leveraging Google CCAI CES components Lead model evaluation using robust Eval frameworks and metrics to ensure reliability accuracy and fairness Advanced Architectures Apply agentic architectures and Retrieval Augmented Generation RAG to build intelligent context aware AI systems Experience with Parameter Efficient Fine Tuning PEFT is a plus Performance Scalability Optimize and fine tune models for performance efficiency scalability and accuracy across production workloads Cross Functional Collaboration Work with business stakeholders and engineering teams to translate complex business problems into scalable and efficient AI driven solutions Continuous Innovation Stay ahead of emerging trends in AI ML LLMs and MLOps to continuously enhance solution quality and team capability Customer Partner Engagement Collaborate directly with customer technical experts and partners eg Google to design solutions that meet business goals and compliance requirements demonstrating technical and business maturity Qualifications Advanced hands on experience in Machine Learning LLMs and MLOps Proven expertise in Google Vertex AI Python and Google CCAI CES platforms Deep understanding of AI governance AIRB security and responsible AI principles Experience in model evaluation frameworks agentic architectures and RAG pipelines Strong communication .

Required Experience:

Senior IC

Required Experience:

Senior IC