Sr. Gen AI Architect

We are At OpenKyber, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. OpenKyber's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, OpenKyber has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge 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). Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $135k - $155k/year & benefits (see below). 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: 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. We offer: A highly competitive compensation and benefits package. A multinational organization with 60 offices in 20 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all OpenKyber employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. OPENKYBER'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and OpenKyber is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at OpenKyber are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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