Introduction
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
Your Role and Responsibilities
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,
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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
Required Technical and Professional Expertise
Experience:
-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.
Technical Skills:
-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.
Soft Skills:
-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
Preferred Technical and Professional Expertise
listed above