At IBM work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so lets talk.
Defines and describes an architecture of a system delivered in context of a specific solution and as such it may encompass description of an entire system or only its specific parts. Leads the technical decisions being made regarding the solution and how they impact the business outcomes; addresses the non functional aspects of the solution or identify requirements that require definition on the technology being used. Assumes primary responsibly for making decisions around the nature of the solution.
Analytical Problem Solving:
Recognized as a thought leader in analytical problem solving with the ability to influence team direction and strategy. Leads efforts to simplify organizational processes creating a more agile environment that adapts quickly to changing demands
Develops and implements complex analytical frameworks to address significant challenges evaluating the impact of solutions on organizational objectives.
Mentors others in analytical techniques and creative problem-solving strategies. Establishes feedback loops for ongoing improvement. Champions the adoption of technology solutions to make informed decisions and eliminate bottlenecks in project delivery enhancing overall organizational efficiency.
Autonomy and Impact to the Organization :
Recognized as a key leader who drives organizational change and fosters a culture of autonomy and innovation. Demonstrates a high level of autonomy in shaping strategic decisions that affect the function using deep expertise and insights to guide choices rather than guidance from management.
Takes the initiative to propose and lead major initiatives that transform processes enhance capabilities or introduce new technologies. Leverages extensive industry knowledge to develop and lead strategic plans at function level and/or that may have company-wide effects ensuring alignment with organizational goals and driving measurable business outcomes and organizational success.
Contributes to client strategies by showing a deep understanding of a client's business industry market technology and strategy for winning.
Skills and Collaboration :
Advanced understanding of functional area and a competent understanding of the overall company and competitive environment.
Guides professionals in achieving departmental objectives. Designs and implements communication strategies that enhance team success.
Masters presentations and communications with senior audiences.
Effectively collaborates with negotiating counterparts to reach mutually beneficial outcome Builds influential relationships across the organization.
Acts as a mentor to mid-level professionals guiding their strategic thinking and leadership skills. Demonstrates leadership & commitment to the success of others. Leads initiatives to implement cutting-edge technologies that support strategic goals.
Preferred Consulting Experience:
Collaborate with sales and delivery teams to design AI solutions that meet client needs.
Develop estimates and proposals for AI projects articulating the value and feasibility of proposed solutions.
Conduct technical presentations and demonstrations to clients and stakeholders.
Education & Experience:
Bachelor's Degree in Computer Science Data Science or similar (relevant work experience is acceptable)
7+ years of experience in AI/ML development with a focus on OpenAI Services NLP and LLMs.
Experience in a consulting environment engaging with clients and delivering tailored solutions.
Technical Skills:
Proficiency in programming languages such as Python or C#.
Experience with Azure AI services including Azure Machine Learning Cognitive Services and Azure OpenAI.
Familiarity with RAG architectures and tools like LangChain Semantic Kernel or LlamaIndex.
Model selection validation and workload optimization.
Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.
Understanding of MLOps practices and tools for model lifecycle management.
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team in a dynamic fast-paced environment.
Ability to travel up to 25%
Preferred Qualifications:
Microsoft Certified: Azure AI Engineer Associate or similar certifications.
Experience with containerization and deployment tools such as Docker and Kubernetes.
Familiarity with responsible AI principles and practices.