GEN AI Solution Architect

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
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