AI

Scaling individual impact: Insights from an AI engineering leader


Doing this well requires building a diverse network across the organization. Building and nurturing relationships in different functional areas is crucial to IC success, giving you the context to spot impactful problems and the influence to mobilize resources to address them.

Finally, you have to be an effective communicator who can translate between technical and business audiences. Executives need you to contextualize system design choices in terms of business outcomes and trade-offs. And engineers need you to provide crisp problem statements and solution sketches.

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It’s a unique mix of skills, but if you can cultivate that combination of technical depth, organizational savvy, and business-conscious communication, ICs can drive powerful innovations. And you can do it while preserving the hands-on problem-solving abilities that likely drew you to engineering in the first place.

Empowering IC Career Paths

As the fields of AI/ML evolve, there’s a growing need for senior ICs who can provide technical leadership. Many organizations are realizing that they need people who can combine deep expertise with strategic thinking to ensure these technologies are being applied effectively.

However, many companies are still figuring out how to empower and support IC career paths. I’m fortunate that Capital One has invested heavily in creating a strong Distinguished Engineer community. We have mentorship, training, and knowledge-sharing structures in place to help senior ICs grow and drive innovation.

ICs have more freedom than most to craft their own job description around their own preferences and skill sets. Some ICs may choose to focus on hands-on coding, tackling deeply complex problems within an organization. Others may take a more holistic approach, examining how teams intersect and continually collaborating in different areas to advance projects. Either way, an IC needs to be able to see the organization from a broad perspective, and know how to spot the right places to focus their attention.

Effective ICs also need the space and resources to stay on the bleeding edge of their fields. In a domain like AI/ML that’s evolving so rapidly, continuous learning and exploration are essential. It’s not a nice-to-have feature, but a core part of the job, and since your time as an individual doesn’t scale, it requires dedication to time management.

Shaping the future

The role of an executive IC in engineering is all about combining deep technical expertise with a strategic mindset. That’s a key ingredient in the kind of transformational change that AI is driving, but realizing this potential will require a shift in the way many organizations think about leadership.

I’m excited to see more engineers pursue an IC path and bring their unique mix of skills to bear on the toughest challenges in AI/ML. With the right organizational support, I believe a new generation of IC leaders will emerge and help shape the future of the field. That’s the opportunity ahead of us, and I’m looking forward to leading by doing.

This content was produced by Capital One. It was not written by MIT Technology Review’s editorial staff.



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