-Write, review, and optimize code for AI models, APIs, user interfaces,
and backend services using best practices.
-Provide technical direction and mentorship to the development team,
fostering a culture of continuous improvement and innovation.
-Work closely with the Solution Architect to translate architectural
designs into functional software components.
-Implement and fine-tune pretrained models such as Granite, Mistral,
and Llama 3 within the watsonx framework.
-Leverage IBM's watsonx platform to enhance generative AI
capabilities, ensuring optimal performance and scalability.
-Develop and deploy AI solutions on IBM Cloud, utilizing cloud-native
services for compute, storage, networking, and AI-specific offerings.
-Collaborate with data scientists, UX/UI designers, product managers,
and other stakeholders to integrate AI components seamlessly into th
overall solution.
-Communicate progress, challenges, and technical decisions effectively
to both technical and non-technical stakeholders.
-Participate in Agile/Scrum ceremonies, contributing to sprint
planning, daily stand-ups, and retrospectives to ensure project
alignment and continuous delivery.
-Ensure high standards of code quality through regular code reviews,
automated testing, and adherence to coding standards.
-Develop and implement comprehensive testing strategies, including
unit, integration, and system testing to ensure robust and reliable
solutions.
-Optimize AI models and applications for performance, scalability, and
cost-efficiency on IBM Cloud.
-Keep abreast of the latest advancements in generative AI, IBM Cloud
services, and relevant technologies to continuously enhance the
solutions.
Identify and implement improvements in development processes,
tools, and methodologies to increase team efficiency and product
quality.
-Maintain comprehensive technical documentation, including code
documentation, API specifications, and deployment guides.
-Implement security best practices in the development lifecycle,
ensuring that solutions comply with IBM's security policies and
industry standards.
-Ensure that data handling within AI solutions adheres to data privacy
regulations and best practices

Required Technical and Professional Expertise
Experience:
Minimum 5+ years in software development, with significant
experience in leading development teams.
-Proven experience in developing and deploying AI/ML solutions,
particularly generative AI models.
-Hands-on experience with IBM's watsonx platform and IBM Cloud
infrastructure.
Technical Skills:
-Proficiency in languages such as Python, Java, or JavaScript relevant
to AI development.
-Strong experience with AI/ML frameworks like 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.
-Experience with CI/CD pipelines, version control systems (e.g., Git),
and containerization tools (e.g., Docker, Kubernetes).
-Strong understanding of RESTful API design and implementation.
-Experience with both SQL and NoSQL databases 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, fostering a
collaborative and innovative environment.
-Excellent verbal and written communication skills, with the ability to
convey complex technical concepts to diverse audiences.
-Strong analytical and problem-solving abilities to address technical
challenges effectively.
-Ability to work collaboratively in a cross-functional team environment.
Excellent organizational skills with the ability to manage multiple
priorities and meet deadlines.
-High level of accuracy and attention to detail in all aspects of
development and documentation

Preferred Technical and Professional Expertise
listed above