As a Senior Solutions Enterprise Architect you will be a working as part of the team driving the conception, design, and implementation of new generative AI products, solutions, for AI offerings. Your expertise will be instrumental in translating business requirements from and for customers into innovative solution designs that extend, deepen, and elevate the AI portfolio. From inception to productization, collaboration with the AI team will bring best practices and best-of-breed tools into play to precisely meet customer needs.

Working with the team from design to delivery, you’ll be an key member of our managed services offerings based on generative AI capabilities and emerging innovations. Deploying hybrid large language models (LLMs) and interactive AI capabilities on hybrid cloud infrastructure will be a significant part of the implemented designs. You’ll work cross-functionally to help architect and deliver innovative solutions, enabling customers to integrate generative AI solutions within their day-to-day operations seamlessly. This role is primarily internal but includes some customer-facing work.

In this role, you will:

• Collaboratively design, develop and implement generative AI solutions across teams agilely, tailored to customer needs and requirements
• Collaborate with team members to Architect services leveraging and integrating frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility
• Help with the design, develop, and optimize AI workload deployment and delivery across on-premise, hybrid, and multi-cloud environments, guaranteeing seamless operation and data integrity
• Continuously enhance and support architectures focusing on scalability, reliability, performance, cost-efficiency, and regulatory compliance, ensuring our solutions remain at the forefront of industry standards
• Develop robust frameworks, templates, and governance models to accelerate the hybrid AI solution and service development and shorten AI product cycles, ensuring timely delivery and market relevance
• Drive and develop automation and orchestration of managed offerings across hybrid infrastructure, ensuring high efficiency and resource optimization
• Champion security, compliance, responsible AI, and cloud best practices, fostering a culture of excellence and ethical conduct in all our technological endeavours

Qualifications:

• BS/MS in Computer Science, Software Engineering, or related fields, demonstrating a solid academic background in relevant domains
• 10 or more years of relevant experience
• 3+ years of experience architecting and delivering SaaS solutions leveraging public cloud and on-premises environments, demonstrating a deep understanding of the technical and operational challenges.
• Proficiency in Python and a strong understanding of deep learning frameworks like Tensorflow or Pytorch, showcasing your ability to work with cutting-edge AI technologies.
• Proficiency with containers, Kubernetes, serverless technologies, and DevOps practices across hybrid cloud environments, ensuring the robustness and resilience of our solutions.
• Strong understanding of Machine Learning fundamentals, including neural networks, reinforcement learning, and generative models, demonstrating your solid foundation in AI technologies.
• Strong grasp of NLP key concepts, including tokenization, word embedment, and language models, enabling you to work on complex, text-driven AI solutions.
• Familiarity with deep learning architectures such as CNNs, RNNs, and GANs, showcasing your broad knowledge of AI architectures.
• Experience with architecting services leveraging and integrating frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility.
• Exceptional technical leadership and communication skills, demonstrating your ability to lead teams and projects successfully.
• A passion for continuous learning in this emergent and evolving field, showcasing your commitment to staying updated and bringing fresh ideas to the table.
• Certifications in AI and Machine Learning like TensorFlow Developer Certificate or NVIDIA Certified AI Developer

Preferred Skills:

• Advanced knowledge in AI and ML frameworks and libraries beyond basic proficiency, including experience with additional frameworks like Keras or libraries like sci-kit-learn
• Market experience in one or more of the following: financial services, telecommunications, industrial manufacturing, energy, consumer products, high-tech, media & entertainment, and automotive
• Understanding of the relationship between various open-source software and hardware components
• Experience working across various cloud platforms (AWS, Azure, GCP) and understanding the nuances and advantages of each in hybrid cloud setups
• Deep understanding of security best practices, data privacy laws, and compliance requirements in cloud and AI environments, possibly supported by certifications like Certified Information Systems Security Professional (CISSP) or Certified Information Security Manager (CISM)
• Demonstrated ability to articulate technical issues, resolutions, and recommendations for customers, development teams, and leadership
• Experience working in a customer-facing IaaS and PaaS environment preferred
• TOGAF 9 Certified, TOGAF Business Architecture preferred