Senior AI Solution Architect – Engineer

🕒 4 days ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

PwC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1998

💸 Finance

☁️ SaaS

💰 Grant on 2023-09

Finance • Consulting • SaaS

PwC is a global network of firms providing professional services in areas such as audit, assurance, consulting, and tax services. With a presence in 157 countries and employing over 276,000 people, PwC is committed to delivering quality in assurance, advisory, and tax services. The company specializes in helping organizations and individuals create the value they're looking for by delivering specialized solutions in various industries including financial services, technology, media, and telecommunications, among others. PwC's services include consulting on matters like cybersecurity, business transformation, and sustainability, ensuring they remain at the forefront of industry trends and client needs.

📋 Description

• Act as the link between PwC’s industry architects, who identify AI business cases, and the firm’s development capabilities • Shape AI solutions, meet client needs, and deliver measurable business value and technically feasible solutions • Select, design, demonstrate, and deliver prototype solutions that align with customer needs and business goals during early engagement • Serve as a trusted advisor with a strong mix of technical expertise, problem-solving skills, and business acumen • Create cloud prototypes to demonstrate and communicate the value of solutions to both technical and non-technical stakeholders • Provide experience in identifying viable and feasible AI solutions to address specific client issues

🎯 Requirements

• 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

🏖️ Benefits

• 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