AI Solution Engineer Senior Manager
AI Solution Engineer Senior Manager
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Job Description
Line of Service
Internal Firm ServicesIndustry/Sector
TechnologySpecialism
Technology StrategyManagement Level
Senior ManagerJob Description & Summary
About the role
We are looking for an experienced AI Solution Engineer to act as the link between PwCs industry architects who identify AI business cases and the firms development capabilities. This role shapes AI solutions meets client needs and delivers measurable business value and technically feasible solutions.
The AI Solution Engineer is a key technical resource responsible for selecting designing demonstrating and delivering prototype solutions that align with customer needs and business goals during early engagement.
As a trusted advisor the Solution Engineer has a strong mix of technical expertise problemsolving skills and business acumen to effectively create cloud prototypes to demonstrate and communicate the value of solutions to both technical and nontechnical stakeholders.
They provide experience in identifying viable and feasible AI solutions to address specific client issues and demonstrate PwCs technical capability as part of proposals. They demonstrate extensive knowledge of hyperscaler AI offerings understanding all of the technical requirements and dependencies of a product/solution and explaining them to potential clients
What your days will look like;
Primarily salesoriented this role is focused on supporting the sales process by bridging the gap between technical teams and nontechnical salespeople. The role helps sales teams select and prospects understand the AI/ML solution demonstrates how it solves their business problems and assists in demonstrating AI technical excellence to the client in the early sales process
This role is for you if you have;
Extensive experience working with sales teams and shaping viable and feasible software solutions as part of process change for enterprise customers
AI Model Architecture Evidenced expertise in LLMs SLMs (Large Language Models/Small Language Models) performance suitability training requirements and deployment
Cloud & Hyperscalers Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker Google Vertex AI OpenAI and Azure ML is required
An understanding of underlying statistics machine learning and data science data engineering and big data concepts is required
An understanding of the process and data complexities and prerequisites and success criteria needed to deliver a solution that meets user and business needs
Cloud Security & FinOps Knowledge of landing zones security and AI cost optimisation
What youll receive from us:
No matter where you may be in your career or personal life our benefits are designed to add value and support recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Methodology Analytical Thinking Business Architecture Business Continuity Business Process Modeling Business Process Workflow Coaching and Feedback Communication Creativity Embracing Change Emotional Regulation Empathy Enterprise Application Integration Enterprise Architecture Enterprise Integration Enterprise Service Bus (ESB) Inclusion Influence Intellectual Curiosity IT Service Management (ITSM) Learning Agility Operational Excellence 14 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Up to 20Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior Manager
Employment Type
Full-Time
