The rise of generative AI tools like ChatGPT has sparked tremendous excitement about the productivity benefits for enterprises. However, while the core AI technology is becoming commoditized, realizing the benefits requires building thoughtful applications and most importantly, sourcing specialized talent. At Manning + Company, we leverage our networks and recruiting expertise to help clients build high-performing AI teams across the stack.
Large Language Models Proliferate
Generative AI took off with OpenAI's launch of ChatGPT, powered by the GPT model. This sparked a wave of large tech companies releasing their own models, including Google's LaMDA, Meta's LLaMA, Anthropic's Claude and more. Much like cloud infrastructure became commoditized between AWS, Azure and GCP, the core language model technology is headed in that direction.
But for enterprises, simply picking a model is not enough to drive value. The real challenge is piping in relevant datasets and building tailored applications. This requires hands-on work in data engineering, dev ops, application product management and design.
Sourcing AI Talent Is Critical
As AI moves from hype to practical reality, enterprises need specialized talent to build impactful applications. Our clients are hungry for engineers and developers skilled in areas like:
- Machine learning ops: Deploying and monitoring models in production
- Data engineering: Building pipelines and data models
- Backend development: Ensuring scalable infrastructure
- Frontend development: Creating intuitive, sticky user experiences
- Product management: Understanding customer needs and workflows
At Manning + Company, our recruiting team maintains relationships with universities, research centers, and training programs producing this high-demand AI talent. We tap emerging professionals skilled in languages like Python and frameworks like Tensorflow, PyTorch and Keras.
And it's not just developers. Our executive search practice helps clients recruit senior AI leadership to structure strategy and teams. We look for entrepreneurial executives that blend tech expertise from sectors like cloud software and analytics.
Building Complete Teams
Having individual specialists is table stakes. For generative AI to reach its potential, you need thoughtfully constructed teams. Our organizational design group partners with clients to map optimal structures, skill mixes and collaboration models tailored to AI goals.
We also drive a holistic recruiting process, thoroughly evaluating technical ability and culture fit. This ensures cohesive teams that can innovate quickly. And we provide ongoing support through onboarding, development and team effectiveness programs.
The Generative AI Shift Is Here
ChatGPT was just the spark. Realizing the promise of AI requires specialized talent and cohesive teams. At Manning + Company, we combine passion for generative AI with deep expertise in building high-performing groups. Let's connect to discuss how we can help you assemble the ideal AI team to drive results and gain a competitive edge.