As a Solution Architect for our Generative AI initiatives, you will lead the design and implementation of cutting-edge AI solutions leveraging IBM’s watsonx platform and state-of the-art pretrained models such as Granite, Mistral, and Llama 3. You will architect scalable, secure, and efficient AI systems on the IBM Cloud infrastructure, collaborating with cross-functional teams to drive innovation and deliver high-impact learning and knowledge solutions within IBM
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
- Develop and oversee the architectural framework for generative AI solutions, ensuring alignment with IBM’s strategic goals and technical standards.
- Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 to meet specific project requirements.
- Provide technical direction and mentorship to development teams, fostering best practices in AI development and deployment. Work closely with data scientists, developers, UX/UI designers, and other stakeholders to ensure seamless integration of AI components.
- Engage with internal stakeholders to gather requirements, present architectural designs, and align solutions with business objectives.
- Stay abreast of the latest advancements in generative AI and evaluate their applicability to IBM’s projects.
- Recommend and implement appropriate tools, frameworks, and technologies that enhance the effectiveness of AI solutions.
- Continuously monitor and optimize AI models and infrastructure for performance, cost-efficiency, and scalability.
- Architect solutions that comply with IBM’s security policies, data privacy regulations, and industry standards.
- Integrate security measures into the AI solutions, including data encryption, access controls, and vulnerability assessments.
- Develop detailed documentation, including system diagrams, data flows, integration points, and technical specifications.
- Define and enforce architectural standards, coding guidelines, and best practices across the project.
- Collaborate with project managers to define project scope, timelines, and resource allocation.
- Identify potential technical risks and develop mitigation strategies to ensure project success
- Minimum 7+ years in software architecture or a related technical role, with significant experience in AI/ML solutions.
- Proven experience leading AI projects, particularly in generative AI and deploying pretrained models.
- Hands-on experience with IBM’s watsonx platform and IBM Cloud infrastructure.
- Deep understanding of AI/ML frameworks such as TensorFlow, PyTorch, and their application in generative models.
- Expertise in deploying and fine-tuning models like Granite, Mistral, and Llama 3.
- Proficiency with IBM Cloud services, including compute, storage, networking, and AI-specific offerings.
- Strong knowledge of microservices architecture, API design, containerization (Docker, Kubernetes), and serverless computing.
- Proficiency in languages such as Python, Java, or Scala relevant to AI development.
- Experience with data pipelines, ETL processes, and data storage solutions relevant to AI applications.
- Solid understanding of cloud security best practices, data encryption, and compliance standards.
- Proven ability to lead and mentor technical teams.
- Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Strong analytical and problem-solving abilities to address technical challenges effectively.
- Ability to work collaboratively in a cross-functional team environment