Job Details:
- Start date: ASAP
- Duration: 1 year
- Remote vs Onsite: Fully remote, occasional in-person team sessions/workshops/gatherings (~1x/quarter) likely in Prague.
Project Description:
Participate in AI incubator projects to scout, incubate, and validate client and client-internal ideas on a 3–5‑year horizon; develop technology roadmaps and prototypes that deliver advanced client solutions; champion internally generated concepts; and continually explore, test, and demonstrate cutting‑edge AI to create new products, services, and capabilities.
Scope:
Join client’s Data & AI Team as a Lead, where you’ll lead client engagements and help deliver AI solutions that create meaningful change and value-driven outcomes.
You’ll work closely with our Sector, Competency, and Alliance teams to design, evolve and grow AI solutions – translating business challenges into data-driven strategies using technologies like machine learning (ML), automation, and generative AI (GenAI)
In this role, you’ll nurture, guide and develop our AI engineering teams, ensure high-quality client deliverables, and contribute to the growth of our AI capability through hands-on project leadership and collaboration across the firm and PwC network.
- Partner with clients to uncover strategic impact and opportunities for AI-driven transformation.
- Build and deploy AI solutions including machine learning models using modern AI/ML frameworks.
- Deliver solutions on cloud platforms (Azure, AWS, others) with scalability in mind.
- Apply MLOps practices to ensure models perform in the real world.
- Communicate insights clearly and help clients adopt AI successfully.
- Ensure ethical AI practices, data privacy, and responsible deployment of AI and automation solutions
Requirements:
Bring your expertise in AI and machine learning, with a passion for solving complex business challenges through data-driven innovation and a background of
- 5+ years of experience developing and implementing a range of AI and automation solutions
- Experience deploying AI/ML solutions on at least one major cloud platform.
- Advanced degree or certifications in AI/ML technologies
- Excellent problem-solving and communication skills, with a client-focused mindset.
- Awareness of responsible AI and data ethics
- Experienced in designing AI Architectures or Agentic AI
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