Diversity Nexus · 2 months ago
Senior AI Architect
CT
Full-time
Onsite
Senior LevelDiversity Nexus is 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 leadership, focusing on innovation while ensuring compliance, security, and scalability across the AI ecosystem.
Staffing & Recruiting
Responsibilities
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
Design, build, and deploy production-grade machine learning models—including LLMs—on the Google Cloud Platform (Vertex AI) using Python and related frameworks
Partner closely with internal AI teams, Google, and other technology vendors to sustain momentum, drive innovation, and align with evolving best practices
Own and execute AI governance processes, including AI Risk Board (AIRB) reviews, data security, compliance, and ethical AI considerations across all AI initiatives
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
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
Optimize and fine-tune models for performance, efficiency, scalability, and accuracy across production workloads
Work with business stakeholders and engineering teams to translate complex business problems into scalable and efficient AI-driven solutions
Stay ahead of emerging trends in AI/ML, LLMs, and MLOps to continuously enhance solution quality and team capability
Collaborate directly with customer technical experts and partners (e.g., Google) to design solutions that meet business goals and compliance requirements, demonstrating technical and business maturity
Qualification
Required
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 and collaboration skills for engaging with cross-functional teams, vendors, and stakeholders
Demonstrated ability to balance innovation with operational rigor in production-grade AI environments
Company
Diversity Nexus
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase