Software Engineer - Lead

Location: Greater London

## Software Engineer - Lead Apply locations:
London time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 30, 2026 (30 days left to apply) job requisition :
JR6901**“I can be myself at work.”
** You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.  We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences.

We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day:
Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.  **“I can influence my income.”
** You want to feel recognized r performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.  **“I can lead a full life.”
** You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.
* Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
* Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
* Access on-demand professional development resources that allow you to hone existing skills and learn new ones

As a Software Engineer - Lead, you will be responsible for seeding and growing the AI Engineering function within GCG technology.  You will partner with business partners, and AI engineers to turn ambiguous problems into working AI solutions that improve our Client facing capabilities and business outcomes. You be responsible for end to end development including and surrounding our AI applications.  

You are the build-and-deploy bridge between the people who own the problem and the AI platform that powers the answer: you lead discovery, design the approach, write the code, and own it in production. You will operate as a player-coach, not a distant manager, working at the intersection of AI, software, and data.  This is a hands-on engineering role for someone who is as comfortable in a working session with a business team as they are building a retrieval pipeline or hardening an agent.

As a lead engineer you will also be responsible for coaching and mentoring others withing the GCG organization as we strive to become an AI first organization.  You will help set the standard for how generative AI gets built and operated responsibly at scale across the firm.
** You will
*** Hire, structure, and develop a team of AI/ML and agentic software engineers. Set the bar for technical quality and the culture you want them to work in.
* Partner directly with business partners to understand their workflows, scope the highest-value opportunities, and translate ambiguous needs into clear technical specifications.
* Design, build, and operate production generative AI applications such as copilots, assistants, knowledge-search experiences, and agentic workflows, as reliable, production-grade systems rather than demos.
* Review architecture and work closely with your engineers. Lead from inside the work, not above it, including engineering capabilities and writing code as appropriate.
* Architect and implement end-to-end retrieval-augmented generation pipelines, including parsing, ingestion, chunking strategy, embeddings, vector storage, retrieval, and prompt management.
* Build agents and agentic workflows that plan and execute multi-step tasks within explicit, auditable boundaries, with guardrails that keep behavior safe and predictable.
* Practice eval-driven development: define…