Senior Manager - AI Architect

Company Overview:

Stanley David And Associates (SDNA Global) is a premier executive search and talent advisory firm specializing in placing high-impact leadership talent across global markets. We partner with Fortune 500 companies, high-growth startups, and multinational corporations to bridge the gap between complex business requirements and elite human capital. Our firm operates at the intersection of technology and organizational strategy, ensuring that our clients secure the visionary leaders necessary to navigate the rapidly evolving digital landscape.

Role Overview:

As a Senior Manager-AI Architect, you will serve as the technical cornerstone for our clients' most ambitious digital transformation initiatives. You will operate at the intersection of business strategy and cutting-edge engineering, translating complex organizational challenges into scalable AI and machine learning solutions. This role involves working closely with C-suite stakeholders, data science teams, and engineering units to define the architectural roadmap for Generative AI and LLM integration. Your work will directly influence the long-term technological trajectory of global enterprises, ensuring that AI investments deliver measurable business value and operational efficiency.

Key Responsibilities:

- Design and implement enterprise-grade AI architectures, including LLM-based applications and Generative AI frameworks, to solve complex business problems for global clients.

- Lead the end-to-end AI transformation strategy, ensuring that technical deployments align with broader digital transformation goals and organizational objectives.

- Establish robust AI governance frameworks to ensure ethical, secure, and compliant deployment of machine learning models across diverse business units.

- Collaborate with cross-functional leadership to translate high-level business requirements into detailed system designs and technical specifications.

- Oversee the integration of advanced data architectures and cloud computing infrastructure to support high-scale AI and data science workloads.

- Mentor technical teams and provide architectural oversight to ensure best practices in system design, model performance, and scalability are maintained throughout the project lifecycle.

Required Skillset:

- Demonstrated expertise in designing and deploying large-scale AI systems, with a deep understanding of LLMs, Generative AI, and Machine Learning lifecycles.

- Proven ability to architect complex solutions using Python and modern cloud computing platforms, ensuring high availability and performance.

- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.

- Strong background in data architecture and the ability to manage large-scale data ecosystems that fuel advanced AI initiatives.

- Strategic mindset focused on AI governance, risk management, and the long-term sustainability of digital transformation efforts.

- Ability to thrive in a remote or distributed work environment, maintaining high levels of autonomy and collaboration across global time zones.

- A minimum of 15 to 25 years of professional experience in technical architecture, software engineering, or data science leadership roles.

- Advanced educational background in Computer Science, Engineering, or a related quantitative field from a top-tier institution.