IBM Watson Orchestrate (AI Agents) Engineer

Why SCC?

• An inclusive workplace
• Excellent package: solid basic and company benefits
• Hybrid working & core hours in line with role requirements
• Career development and life-long learning opportunities
• Opportunity to join Europe's largest privately-owned IT Company

• AI Solution Development: Utilize the watsonx platform to co-create AI solutions with clients, focusing on technology patterns that enhance repeatability and client satisfaction. 
• Client Engagement: Collaborate with technical leaders across SCC’s sales teams to drive experiential client engagements, often developing 4-to-6-week pilot projects.
• Model Design and Deployment: Design, build, and deploy AI models using watsonx.ai, integrating these solutions with necessary back-end systems to develop comprehensive AI systems.  
• Data Lakehouse Engineering: Assist in the design, implementation, operation, and optimization of data lakehouse architectures using IBM watsonx data.  
• Needs Assessment: Conduct thorough discovery sessions with potential clients to grasp their unique challenges, business objectives, and AI-related requirements, with supporting business cases.
• Solution Presentations: Effectively communicate the value proposition of our AI offerings, using compelling presentations and demonstrations tailored to each client's specific needs.
• Proposal Development: Collaborate closely with sales and technical teams to craft well-defined AI solutions and proposals that align with client expectations and industry best practices, that are both sustainable and repeatable
• Relationship Building: Establish strong relationships with key decision-makers and stakeholders, building trust and positioning yourself as a reliable advisor on the watsonx platform
• Market Intelligence: Stay updated on the latest developments in AI technology, competitor offerings, and industry trends to help refine our AI practice and evolution of appropriate strategies.
• Sales Support: Offer technical expertise and insights during the pre-sales process, assisting the sales team in navigating and understanding client problems, queries and objections.
• Cross-Functional Collaboration: Work closely with product development, marketing, and leadership teams to provide valuable feedback, drive product enhancements, positive outcomes and align AI offerings with overall company goals.
• Sales Enablement: Develop pre-sales collateral and resources, including AI-related materials (specifically WatsonX), case studies, and documentation to empower the sales team and foster their success.
  
  

• Experience with programming languages such as Python, and familiarity with machine learning and AI technologies, focusing on foundational models.
• Ability to deliver new features and improvements, participate in testing and documenting solutions, and work with tools like Git and CI/CD automation tools.  
• Experience in software testing, particularly in testing web applications or AI-based systems, with proficiency in Python for test automation and scripting.  
• A bachelor's degree in a relevant field is typically required, with a master's degree preferred for certain positions.
• Passion for artificial intelligence and emerging technologies, with a strong desire to shape the growth of our AI practice
• Demonstrate an ability to learn quickly and stay informed about AI advancements and best practices.
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
• Proven experience in sales, pre-sales, or customer-facing roles is preferred but not required.
• Enthusiasm for working in a startup environment within a large business, with a hands-on, pro-active approach.
• Strong interpersonal skills, a collaborative mindset, and a willingness to contribute to the broad-er team effort.
• Willingness to explore new ideas and experiment with different approaches to achieve AI practice development goals.
• Must be able to obtain the Government and/or Police Security levels required in order to meet the operational requirements of the role (no caveats) and as per the requirements stipulated in relevant customer contracts.